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2022 roundup: Top 10 blogs on marketing you must read

In this tech-dominant era, marketing has emerged as one of the popular career alternatives to the IT industry. In fact, marketing is important even to promote software products. So, what is marketing? In simple words, marketing is the process of promoting the products and services of a company. It is a diverse and dynamic field that includes everything from creating brand awareness to organizing campaigns to increase sales. 

Career opportunities in Marketing

Marketing is an ideal career for candidates with great creative abilities and analytical prowess. Today, marketing has become one of the top career choices for not only individuals from commerce or marketing backgrounds but also diverse domains. Besides providing a wide range of lucrative employment opportunities, marketing offers you job satisfaction as it tickles your creative senses and makes you stay up to date with the latest developments in the business world. According to the report by Statista, marketing jobs are expected to increase by 10% during the period 2020 to 2030, which is significantly a faster rate compared to the other job domains. 

How can you kickstart your career in Marketing

If you’re someone who’s looking to seek a career in marketing, you can choose an MBA degree with Marketing specialization. An MBA in marketing equips you with the knowledge and skills needed to become a future-ready professional. You get to learn various key marketing concepts like digital marketing, SEO optimization, marketing analytics, and integrated marketing communication.  

Today, many students are preferring to enroll for an online degree due to the Covid-19 pandemic scare. People realize that it is the best way to continue their learning in these testing times. Besides, one can get a legitimate online degree that’s equivalent an on-campus degree and the same has been confirmed by the University Grants Commission (UGC) in one of its official statements.  

Online Manipal’s MBA in Marketing is the right course for you

If you are considering enrolling for an online MBA in marketing, you can choose Online Manipal. It is the e-learning platform of reputed universities such as Manipal University Jaipur (MUJ, Manipal Academy of Higher Education (MAHE), and T.A. Pai institute of Management (TAPMI). Online Manipal’s MBA program is a great option for students and working professionals who are looking to advance their career in this domain. In addition to the course offerings, Online Manipal’s editorial team brings you several informative and interesting articles on marketing that can help you gain insights into the scope and career options in marketing. Take a look at the top 10 articles on marketing that were published in 2022 by Online Manipal

List of top 10 blogs on marketing in 2022 

What are the 7 Ps of marketing? 

The 7Ps of marketing are – product, pricing, place, promotion, physical evidence, people, and processes. The 7 Ps make up the necessary marketing mix that a business must have to advertise a product or service. Read more to know about the 7 Ps of Marketing

What is consumer behavior, and why is it important? 

Consumer behavior is the study of how consumers make decisions, influence each other, and behave in a market environment. It can be defined as the study of all factors that influence consumers’ choices, actions, and attitudes toward the marketplace. Read to know what consumer behavior is

The 4 C model of Marketing 

The 4 Cs of Marketing are Customer, Cost, Convenience, and Communication. These 4 Cs determine whether a company is likely to succeed or fail in the long run. This model helps businesses of all sizes compete with each other. By understanding your target audience, you can offer better products and services tailored to their needs. Learn more about 4 C model of marketing

Why choose an MBA in Marketing? 

MBA in Marketing has excellent potential as a career option given the compensation and the skills you will have post completion of the degree. Pursuing an MBA in Marketing from an esteemed university opens up new career opportunities for students as well as working professionals who wish to step into managerial roles. You may like to know why you should choose an MBA in Marketing

What is Marketing Analytics? Benefits, tools, scope, and careers 

Marketing analytics is a practice that uses data to understand how your customers interact with your brand. It allows you to make better business decisions by knowing who your customers are and what they want so that you can serve them better. Learn more about what marketing analytics is

Online MBA marketing course syllabus 

The MBA marketing syllabus is structured so that learners get a complete walkthrough of various marketing and management techniques. It teaches aspirants how to succeed in sales, advertising, growth hacking, and other business concepts. The course can be pursued completely online and has a duration of 24 months, divided into four semesters. Read to know more about online MBA marketing course syllabus.

Important concepts to learn during an MBA in Marketing 

Branding, advertising, promotions, and sales make up the entire marketing field. Marketing’s primary objective is to boost product and service sales. An organization’s profitability is directly connected to its marketing performance due to the significant value firms place on this function. Understand the important concepts you will learn in MBA in Maketing. 

AI in digital marketing: Future of AI in the marketing industry? 

In this fast-paced world, it is important to stay ahead with the latest trends and embrace new technologies today to reap the greatest benefits tomorrow.AI has dramatically reshaped the landscape of marketing and will increase the opportunity for marketers to transform the dynamics of digital marketing in the future. Learn more about the role of AI in digital marketing.

The 4 A model of Marketing 

The4 As of marketingis a strategic framework that helps you increase your success. Today, the 4 As of marketinghave become the standard for business and marketing strategy. It is acustomer-oriented marketing approach that focuses on four elements, Acceptability, Affordability, Accessibility, and Awareness. Read to know more about 4 As of Marketing 

How to become a marketing manager in India? 

A marketing manager’s job entails supervising the marketing strategy and implementation for a company or its products and services. Using smart, modern marketing techniques, marketing managers help increase brand recognition and draw new clients to the business. Read to know more about how to become a marketing manager in India.

To further explore many other interesting articles related marketing, you can visit our blog page. Marketing is domain of work that’s seen great advancement in the recent years and continues so in the future. An online MBA in Marketing through Online Manipal can help launch your career in marketing. 

2022 roundup: Top 10 blogs on online management courses you should read

The year 2022 comes to an end and one of the significant changes that we’ve seen this year is the transformation of the education system. The Covid-19 pandemic has severely impacted the academic schedule of many educational institutes. The closure of schools and colleges across the globe has pushed the students and educators into a dilemma about the continuity of learning. This made everyone realize the prominence of online learning where classes are conducted remotely and on digital platforms. 

Though e-learning was on the rise in the last few years, people started to realize its true potential during the pandemic time. Online learning allows you to study from anywhere and anytime at your convenience and in a safe environment. Today, many renowned educational institutes and universities are offering online degrees and certifications. Besides having the same value as the traditional degrees, online degrees are much more affordable. 

What do the recent online learning statistics say?

As per the statement by the University Grants Commission (UGC) Chairman M. Jagadesh Kumar, over 72,000 students have enrolled in various online programs that are offered by universities in India in 2022 which is a 170% increase compared to the previous year. And amongst the various online degrees, Bachelor of Business Administration (BBA) has emerged as the most popular undergraduate degree while the Master of Business Administration (MBA) being the most preferred postgraduate degree according to official data. These trends show the demand for online management courses. 

Management courses offered through Online Manipal

Online Manipal, the online learning platform of prestigious universities, Manipal University Jaipur (MUJ), Manipal Academy of Higher Education (MAHE), and T.A. Pai Management Institute (TAPMI) offers UGC-entitled online courses in UG and PG level. These courses are a great option for students who cannot access a reputed physical college and working professionals who want to upskill without quitting their jobs. The management courses like BBA and MBA offered through Online Manipal have industry-oriented curriculum and are taught by expert faculty. Students who have enrolled for these programs can access live and recorded classes, vast e-learning content, webinars by industry experts, and get placement assistance upon successful completion of the course. 

Online Manipal also made several engaging and insightful articles about the online management courses available to readers. These articles are very informative and help the readers make informed decisions regarding their career path. Below is the list of top 10 blogs on management courses that were published by the Online Manipal Editorial Team in 2022. 

List of top 10 blogs on management courses

What is business communication, and why is it important? 

This article talks about the importance of business communication in this ever-evolving business world. Effective business communication plays a significant role in providing a platform for the business to outperform its competition by building a healthy working environment. Read on to know more about what business communication is and its importance.

Online MBA Analytics & Data Science course syllabus 

MBA in Analytics & Data Science is gaining popularity in a world that undergoes digital transformation. These courses go over data interpretation and visualization, storytelling, and most importantly, how to use analytics to stay ahead of the competition in a competitive business environment. You can find more about the syllabus of MBA in Analytics & Data Science.

Why online BBA? Top reasons to choose online BBA 

Pursuing an online BBA helps learners acquire all the in-demand skills and enhance their knowledge base in business and management. The best part of online BBA is the opportunity to pursue the course from any leading higher education institution without shifting from your convenient location. Read to know about the top reasons to choose an online BBA.

Career options after online MBA in Pharmaceutical Management 

From small-town pharmacies to big box chains, the pharmaceutical industry is thriving more than ever before. It offers plenty of opportunities for those interested in pursuing an MBA in pharmaceutical management. Understand various career options after an MBA in Pharmaceutical Management.

Online MBA IT & FinTech course syllabus 

FinTech is a good career choice because of the rapid advancement of technology and the growing demand for it. It has the potential to provide massive employment opportunities for MBA graduates, ushering in a new era of financial innovation. You can find the complete course syllabus of online MBA in IT & FinTech.

Why is MBA still one of the best courses after BBA? 

The popularity of MBA courses after BBA has gone through the roof, with many students from various streams, including science, commerce, and the arts, seeking admission in the MBA program to safeguard their career with lucrative packages and high-profile employment in the business field. Read more about why an MBA is still one of the best course after BBA.

Supply chain management in e-commerce 

As an entrepreneur, you know that your supply chain is one of the most critical aspects of your business. From the moment you purchase to the moment it gets to your customer’s hands, you want to make sure that everything goes smoothly—and that’s where supply chain management comes in. But how does the eCommerce supply chain work, and how can it help you run a business? You may be interested to understand the role of supply chain management in e-commerce.

Online BBA vs Distance BBA course: Which is better? 

Pursuing an online BBA from a trusted university is far better than opting for a distant way of learning. Manipal University Jaipur (MUJ) is one of the first universities that began to offer online BBA courses in India. Its online BBA curriculum is a mix of traditional and modern concepts in business administration and management. Read more about the difference between online BBA and distance BBA.

Why choose an MBA in Marketing? 

MBA in Marketing has excellent potential as a career option given the compensation and the skills you will have post completion of the degree. Pursuing an MBA in Marketing from an esteemed university opens up new career opportunities for students as well as working professionals who wish to step into managerial roles. Read to know more about why you should choose an MBA in marketing.

10 best career options for you after an online MBA 

An online MBA prepares learners to excel in any job role. A wide range of prospects available after successful completion of online MBA. You can find many options such as jobs in the leading companies and higher education at the top universities in India and abroad. Graduates of online MBA programmes go on to work in a variety of fields. Know more about 10 best career options for you after an online MBA.

These are just a few of the vast inventory of Online Manipal’s blogs. You can visit our blog page and check out many other interesting and insightful articles that help in deciding your career path. 

Supply Chain Management: An engine of global trade 

The COVID-19 pandemic that broke out in 2020 severely impacted the international supply chain as we knew it and is still having an impact today. Some of the problems in the supply chain have lessened, but things will probably never be the same. We need to be prepared to face difficulties that no one in the international trade sector has ever faced before, since the new normal we’re entering will be unlike anything in the sector’s history. 

Critical issues that need to be addressed


  • Logistics and commerce face labor shortage due to challenges like attracting and maintaining key employees (such as truck drivers) and competing for them with other industries that offer better work-life balance and perks. 
  • The worldwide increase in fuel prices. 
  • The increasing importance of technology in managing supply chains, especially for keeping meticulous track of shipments. 
  • Conflict in Ukraine and the prospect of blocking the Chinese merchant marine shipping lines continue to destabilize international situations. 
  • Ecosystem effects caused by supply chains. 

A firm grasp of supply chain management (SCM) principles has never been more important for exporters and importers. End customers no longer consider a delivery period of five to seven days acceptable in this fast-paced modern world. Companies will thrive and expand if their SCM processes are continuously optimised to match the needs of their customers.  

What is Supply Chain Management?


IBM defines SCM as: 

“Supply chain management is the handling of the entire production flow of a good or service—starting from the raw components all the way to delivering the final product to the consumer. A company creates a network of suppliers (“links” in the chain) that move the product along from the suppliers of raw materials to those organizations that deal directly with users.” 

Stacey Lewis, owner of Eternity Modern, a Vancouver-based furniture supplier with warehouses and delivery facilities worldwide, says there are many types of supply chain management: 

Just-in-time manufacturing: Just-in-time manufacturing reduces inventory by producing things just when needed. This helps organizations save storage expenses and avoid stockpiling raw materials. 

Vendor management involves analyzing supplier performance, setting expectations, and establishing quality and delivery standards. This ensures vendors satisfy company needs and deliver products on schedule and to specifications. 

Inventory management: Inventory management helps track stock levels to satisfy customer demand. Just-in-time manufacturing and order batching are examples of inventory management. 

Transportation management: Coordinating supplier-to-customer shipping. Planning routes, scheduling shipments, and managing transportation providers. 

Major players in Supply Chain Management


Most enterprises use one of two following approaches: 

  • To better manage the entire process from start to finish, they employ the services of third-party logistics (3PL) firms. C.H. Robinson, XPO Logistics, J.B. Hunt, and Kuehne+Nagel are all significant third-party logistics (3PL) providers in international trade. 
  • The system of Next-day delivery from big-box warehouses has replaced logistics that were previously handled by the 3PLs, and experts predict that this is the future of 3PLs. This approach allows companies to handle the entire operation in-house including purchasing of ships, trucking of businesses, etc. In the wake of the disruptions to supply chains in 2020, this approach has gained traction, but businesses with a focus on speedy delivery have already begun moving away from outsourcing to completing the work in-house long before that. 

Ronnie Adcock, senior vice president at Sedgwick, claimed that “in this day and age, it is the speed of delivery of a product that wins over the consumer,” and that next-day delivery was the wave of the future for 3PLs. Third-party logistics providers (3PLs) who can offer manufacturers speedy service like this will be crucial as such options have become part of consumers’ expectations.  

Characteristics of a strong 3PL partner: 

  • Strong global presence 
  • Technologically savvy 
  • Innovation 
  • Focus on customer success 

They should ensure that in one call, their clients get the answers they need and are satisfied with results. There’s nothing more costly or frustrating than a process disruption or non-delivery. 

Why does Supply Chain Management matter in the 21st century?


Profit margins are often directly tied to how well a company manages its supply chain. Companies can reduce their inventory costs, transportation costs, and other operational expenses by streamlining their supply chains. Further, effective supply chain management allows businesses to get their products to customers more quickly, which can give them a significant edge in the market. 

More sales and satisfied customers are the result of a dependable supply chain that gets products to customers quickly. And in our ever-evolving world, businesses that can provide a streamlined logistics process and a professional response to problems (which inevitably arise) are invaluable. 

Gain in-depth knowledge of Supply Chain Management with an online MBA in SCM through Online Manipal


Supply Chain Management has become a crucial part of the product and service-based businesses. Most of the top firms across the world are looking to streamline their services through effective SCM strategies. For this, they are on the lookout for highly knowledgeable personnel who can handle the process efficiently. If you’re a graduate looking to explore this domain of work or a working engineer looking to get into a pivotal role in the organization, an online course in SCM helps the cause. Manipal University of Jaipur (MUJ) offers an MBA in supply chain management which has a comprehensive curriculum that’s in line with current business trends. The expert faculty and extensive e-learning will help you gain in-depth knowledge of the subject and prepare you for a successful career in SCM. 

Top soft skills that help you overcome corporate hurdles

Everybody talks about improving Soft Skills to achieve growth in organizations. But what are soft skills? Soft skills are personal attributes that enable someone to interact effectively and harmoniously with other people. Well, in simpler words, soft skills are all those skills that help you step up the ladder in your organization. You know how some people know exactly what to say at the right time, when to take a stand and when to step down, and how to get the good out of every situation. All these skills come under the umbrella of Soft Skills. You get recruited for your job through your academic qualifications and industry experience but what aids you once you are inside the organization are soft skills.  

Soft skills include a lot of important day-to-day functions that are often not taught or considered very important but if practiced appropriately, they can pave the distance between an average and an extraordinary life. There are a lot of soft skills that one must know. In this article, we’ll discuss the top soft skills that can give a kickstart to a smooth and progressive journey in your corporate life. So, without much ado, let’s quickly get started. 

Teamwork: There’s a famous proverb which says, “If you want to go fast, go alone; if you want to go far, go together.” So, folks, if you want to make your stay long and fruitful in your organization, start amping your performance when working in teams. Working in teams doesn’t just include showing up and working with a team but includes inculcating others’ strengths and understanding their weaknesses as well. Remember, the ladder to success is big enough for you and your colleagues to get on it together, and when you get to the top, it should be your responsibility to lend a hand to the ones on the ladder and not push the ladder from the top.  

Pro tip: Speak and let others speak! 

Communication: The importance of effective communication cannot be stressed enough for success in personal and professional life. We all have ideas and propositions in our heads, which can lead to something novel and ground-breaking but the only thing stopping us is our inhibition to communicate our ideas in front of others. The reason is we don’t feel confident enough with our speaking skills. Well, being a Communications educator, I can frame this entire blog about this topic, but for starters, you can note down this pro tip: Know your audience’s motive/intention for an effective flow of communication. 

Critical thinking: We all have unique ideas and the knack for thinking critically about situations (sometimes when we overdo it, it’s called Overthinking) but the only thing stopping us from putting forward our thoughts is the inhibition of communicating them to others. Once we master how to communicate our thoughts clearly, we can present our ideas without being self-conscious. Critical thinking comes with experience and exposure. It is a skill that can be developed over time through reading, experiences, and always being curious.  

Pro tip: Be present in the moment so that you can come up with ideas and suggestions. 

Problem solving: In life, you will mostly find people who will focus only on the problem. Among all such people, you should be the one who focuses on solutions. The problem will not be solved by discussing it again and again or by cribbing about it. It will get solved when we start focusing our attention on finding the solution. Once we start focusing on solutions rather than problems, more than half the problems in life will disappear automatically. 

Pro tip: Holding a glass of water in your hand gets more difficult with time. So do not hold problems in your heart and mind! 

Adaptability: Adaptability means how well you can fit in under different circumstances. Being too much resistant to change is not a good characteristic to have, and such people do not make good candidates for top managerial positions. Your attitude towards dealing with the problem at hand tells a lot about you as a person. An easy-going attitude is welcomed and preferred by everybody. Be ready to take up challenges! Be ready to step outside your comfort zone!  

Pro tip: Do not fear that your adaptable nature will get you treated in the wrong way, or you will be taken for granted. The way you behave showcases your upbringing and sanity, and the way ill manners practiced by others will showcase theirs. 

Time Management: Managing time is an important type of Non-Verbal Communication known as Chronemics. Time management includes executing your task on time, punctuality, and willingness to wait. How punctual you are at your workplace depicts how sorted you are in your life. A person must also possess the willingness to wait. Wait for others ahead of you in line to finish the task and pass it on to you. Also, the composure with which you wait depicts a lot about you as a person. Whether you are patient enough to wait for things to work out or is waiting makes you impatient.  

Pro tip: Use POSEC Method and ABC Analysis to make your time efficiently. 



Most of the soft skills are not taught but are acquired through real-life experiences. You can develop them during your education or at workplace. An MBA is one such course that not only equips you with the knowledge and skills to make you job-ready but also makes you inculcate the soft skills that help you thrive in the corporate world. Online Manipal’s UGC-entitled online MBA program is designed by industry experts keeping in mind the latest developments in the business world.  If you’re someone who’s looking rise up the corporate ladder, an online MBA is the right choice for you. 

Where can I make a good portfolio of data science projects?

Data science has been gaining popularity in recent years as more companies see the value of using it to gain insights from their data stores. This has led to an increase in demand for skilled professionals who can help them do this effectively. A good set of projects represents you best in data science, just like writing a good resume. As a data scientist, it is essential to have a good portfolio of projects you have worked on. You need a portfolio of data science project examples that you can use to prove your value in the field and show potential employers that you have what it takes. It should reflect your analytical skills and ability to execute projects successfully.

What is a data science portfolio?

A data science portfolio consists of projects that demonstrate your skills. It’s usually used as part of the hiring process to show employers what you’re capable of. Data science portfolios can vary depending on the individual, but they all tend to include some project that demonstrates your skills and experience. This can be anything from an analysis you did for yourself or work to a personal website or blog where you’ve posted code examples or data visualizations.

A data science portfolio aims not to create something new but to highlight your current work so that hiring managers can see how well you can apply your skills in real-world scenarios. A good data science portfolio will show off different projects you’ve worked on. It should include descriptions of what you did in each project, how long it took, what tools you used, and why those tools were best suited for the job. If possible, include links to live versions of the projects (i.e., websites) and screenshots or videos showing how they work. If applicable, you should also include any code snippets or other materials related to each project.

Platforms to make data science portfolio

The days of doing some coding and expecting to get a job are long gone. To be competitive in this space, you’ll need to put together a strong portfolio of projects and accomplishments. The best way to create a data science portfolio is to build it on a platform that allows you to share your work with employers. We recommend the following platforms for creating effective portfolios:

  • Portfolio website

Portfolio websites are a great way to show off your best work and demonstrate your skills. A portfolio website allows you to display all of your best work in one place and gives recruiters a way to see exactly what kind of projects you’ve done before and what kind of skills you have. A portfolio website also helps employers discover who they’re hiring. They can read about your interests, education, and experience on the site. This lets them know if you’re the right fit for their company before they even start talking with you.

  • Blog

A blog is a great way to showcase your skills and experiences. You can write about your experience in a particular field, industry, or personal interest. You could also write about a data science topic you’re passionate about. Writing posts allows you to demonstrate your ability to think critically, communicate effectively, and work collaboratively by explaining complex concepts in an easy-to-understand way.

It also allows you to show off your writing skills, which are very important in data science. You’ll have an opportunity to show off your creativity and personality through your writing style and voice—which employers are looking for more than ever before. 

  • Deepnote

If you want to create a portfolio of your projects and accomplishments and showcase your skills and experience, Deepnote is the platform for you. With Deepnote, you can create a professional portfolio highlighting your past work, including code samples and presentations. It has a free plan for students and data science newbies and a paid plan for those who want more features.

  • GitHub

GitHub is a popular data science portfolio platform because it’s easy to use, has a large user base, and allows you to build your portfolio with an interactive website. You can create an account on GitHub and set up a repository (a folder) for your portfolio. You can then add all of your projects to that folder. 

GitHub lets you write a text about each project, including what you did, how long it took, what kind of issues you ran into and fixed, and more. The site also provides some basic statistics on your projects so potential employers can see how much time you’ve spent working on them and how many lines of code they contain (this helps them understand how complex the project is).

  • Kaggle

Kaggle is the world’s largest community of data scientists and machine learners. It’s a platform for data science projects that can be used to make your portfolio. You can create your competition or join an existing one. After you submit your work and it’s reviewed, you’ll get feedback on how to improve. Kaggle also provides tutorials and videos to help you learn more about machine learning, a key data science skill.

  • DAGsHub

DAGsHub is a platform that allows users to create data science portfolios and publish them on the web. It’s designed to be collaborative, so you can work with your peers to build a portfolio representing your skills and expertise. You can upload datasets, create visualizations, share your work with potential employers, and more.

  • LinkedIn

Linkedin is a great place to start building your data science portfolio. You can use the platform’s tools to create a resume, find people in your network, and connect with potential employers. You can also post articles, papers, or projects you’ve completed. This will help you get recognition from recruiters looking for candidates with similar qualifications.


Since you are a newbie, the best way to attract the attention of employers and companies is usually through GitHub. That’s where you have your data science project in some form, not just a resume. And, indeed, that’s all that matters. Orderly format, good writing, and careful code. You can Include a link to an interactive application you built, such as a website or an app. Include links to your work’s news article, report, or white paper. Create a PowerPoint presentation of your best data science projects to show your skills to employers. Create real-world applications for data scientists to solve for their employers. Consider making a working dataset a part of your portfolio that you can replicate from scratch on demand.

How an ideal data science profile looks like

Data science is a field of study that is increasingly in demand around the world in countless industries. Data scientists use various tools and techniques to find connections and patterns between extensive amounts of data. This is then used to help take action, make decisions, calculate risks, and more. Data scientists are greatly sought after by businesses, as they can help make crucial analyses that help companies make decisions, decide on a course of action, and potentially save a lot of money. 

Profile of a data scientist

A data scientist is an individual who collects and analyzes large groups of data on the basis of statistical and programmable logic. A data scientist uses modern tools to find relations between the data and uses their knowledge to make informed suggestions about important decisions, calculate the risks involved, and create solutions based on the organization’s requirements. 

Types of data science roles

Data science is a vast field, and individuals pursuing a career in it have a large catalog of job types to choose from. Thus, depending on the data science portfolio, many roles could be related to data science. These include:

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Developer
  • Statistician
  • Data Architect
  • Database Administrator
  • Data Engineer

Responsibilities of a data science professional

The role of a data scientist is to analyze trends in a set of data and help make informed decisions and solutions for a company. A data scientist will typically use tools and programs such as Python and Github in order to separate the relevant information and data; and use that to form insights that will help the business, such as increasing efficiency and weighing risks. The responsibilities of a data science professional include the following:

  • Collecting data
  • Analyzing trends and patterns in the data
  • Working in conjunction with other teams for the best analysis
  • Investigate potential actions to be taken
  • Create a solution for the business
  • Help boost effectiveness and productivity
  • Implement data structures and solutions

Data science also incorporates skills such as programming, mathematics, data analysis, statistics, machine learning, and problem-solving. 

Salary of a data science professional

The average base salary for data science professionals in India is INR 10 Lakh per annum, with additional cash compensations and bonuses. However, this price depends on the company and region where you work, as the salaries and opportunities for Big Data will differ. 

Nevertheless, as aforementioned, since data science is such a sought-after skill, the salaries are also expected to increase based on the sheer demand for professionals. In fact, according to a study conducted by AIM and Hero Vired in 2022, the median salary for data science professionals has increased to 16.8 Lakh, a 25.4% increase from last year. The data and trends point towards a steady increase in salaries of data science professionals, and it is a well-paying job. 

Expected qualifications for data science and important skills

To become a data science professional, there are certain criteria and courses you need to be qualified for. Since data science incorporates mathematics, computer science, and statistics elements, a STEM background would be preferable.

Another helpful criterion is being fluent in the programming language since data scientists use various programs to input and sort the data. Lastly, having some knowledge or a degree in business strategies, tools and studies can be extremely beneficial for data science professionals since they can help create better solutions for the client. Building a good data science resume is important and can be done using experience from sites like GitHub.

Working hours for a data science professional

While data science can be demanding, most data science professionals work standard 40-hour weeks and a 9 to 5 job. This is because there is more autonomy in the work of data scientists, and they have more freedom. 

Additionally, working with programs and algorithms means that the amount of manual intervention in a data scientist’s job is also lesser. However, since data science is an ongoing process, many data science professionals may also have to work on weekends in order to finish tasks and data solutions. 

An ideal day for a data science professional

In a data science professional’s day, most of the time is spent running algorithms, writing codes, and researching the data set. A data scientist also collaborates a lot with other teams and sectors of the business in order to analyze the data from the best lens possible and collaborates with different members to create the greatest solution for the company. 


Summing up, data science is a field of analytics that revolves around processing and analyzing data sets and using the collected information to create solutions for a client. The profession has huge scope in the modern world, with so many businesses revolving at a large scale, which make decisions based on the trends and risks associated. A data science job can be quite rewarding. This blog discussed some integral parts of a data science portfolio to prepare you for your journey as a data science professional.

Key takeaways: 

  • Data science is a study revolving around analyzing and interpreting data trends.
  • A data scientist is integral to a company’s success and decision-making.
  • A data scientist collects and analyzes data and creates solutions based on information derived from the data trends.
  • Data science is a sought-after job, and the demand and salary are steadily increasing.
  • A STEM background and programming language knowledge are essential to becoming a successful data science professional. 

Why is supply chain management a lucrative career option for engineers?

Supply chain management coordinates the flow of goods, services, and information between an organization and its suppliers, partners, and customers. The main goal of supply chain management is to create value for all stakeholders by reducing costs and increasing customer satisfaction.

Supply chain management helps organizations manage their supply chains more efficiently by optimizing inventory levels, reducing costs and wastage, improving product quality and delivery times, reducing environmental impact (through better logistics), improving productivity through lean manufacturing techniques, and reducing risk exposure (by using fewer suppliers).

Who is a supply chain manager?

Supply chain managers are the people who oversee the procurement, production, and delivery of products. They’re responsible for ensuring that all parts of the supply chain are working together smoothly, and they ensure that their company has enough inventory to meet demand without wasting resources.

Want more detailed information on supply chain? Check out our detailed blog on the syllabus covered in supply chain management course.

Responsibilities of a supply chain engineer 

Supply chain engineers are responsible for a wide range of duties, from designing and implementing new ways to streamline supply chains to analyzing the data from these processes.

The responsibilities of a supply chain engineer include the following:

  • Collaborate with Sales, Operations, and Customer Service teams

A supply chain engineer needs to be able to work with people from many different departments within an organization. They must collaborate with sales teams to understand what inventory needs should be based on customer demand and what kind of inventory shortages or overages might occur due to changes in business patterns (such as holidays). 

Finally, a supply chain engineer will work directly with customer service representatives so that they can make sure that any problems customers have during shipping are resolved quickly and efficiently without causing damage to goods.

  • Overall supply chain strategy

Supply chain engineers are responsible for the overall strategy of the supply chain. This includes analyzing the current state of the supply chain and making decisions on how to improve it. They also need to identify issues that might affect the efficiency of the supply chain, such as poor inventory management or inefficient transportation methods.

Supply chain engineers collaborate with Sales, Operations, and Customer Service teams to develop strategies that will help improve their company’s bottom line. They may also work with external stakeholders like suppliers or suppliers’ suppliers to help them improve their processes so they can meet customer expectations better.

Want to know the importance of blockchain in SCM? Check out our blog on use of blockchain in SCM for more information.

  • Determine key supply chain KPIs

The supply chain engineer is responsible for determining a company’s supply chain’s key performance indicators (KPIs). These include metrics like delivery time and cost, customer satisfaction, inventory levels, and more. The supply chain engineer must also recognize which KPIs are most important for their organization’s specific needs and goals.

  • Identify process bottlenecks and implement solutions.

The supply chain engineer works with the other members of management to identify the bottlenecks in their organization’s processes. This can be done through data analysis or by observing the flow of materials through the system. Once they’ve identified these bottlenecks, they will work with others to implement solutions that will help improve overall efficiency while meeting customer needs.

Want to know the top trends in the supply chain industry? Check out our blog on trends in SCM for more information.

  • Documentation

The supply chain engineer must document the operations in the supply chain. They are responsible for keeping records of the various activities and processes in the supply chain, including workflow, customer service performance, inventory management, and delivery planning. They also have to create and maintain documents such as procedure manuals, quality control plans, and training materials.

  • Train and evaluate others

Supply chain engineers must train employees on new products/services, how to use new technologies, and evaluate their performance periodically. They may also be required to supervise employees who work under them, so they need good people management skills to get the most out of their teams efficiently.

  • Provide constructive feedback

Supply chain engineers must provide constructive feedback when they notice someone doing something wrong so they can help improve their performance or prevent mistakes from happening again in the future.

Want to relation between supply chain management and operations management? Check out our blog on SCM and operations management for more information.

  • Work with different departments to get vendors.

Supply chain engineers are responsible for building relationships with vendors and distributors. They work with the finance, sales, and manufacturing teams to determine each product’s most effective distribution methods. For example, a supply chain engineer might work with the finance team to decide whether or not it’s cheaper for a company to use its warehouses or rent space from a third party.

  • Build and maintain good relationships with vendor

Supply chain engineers must also maintain positive relationships with vendors to ensure they have access to the best products at reasonable prices. This means they need to communicate effectively with these partners to get what they need when they need it.

How to become a supply chain engineer?

If you’re interested in becoming a supply chain engineer, there are several steps that you can take.

  • A Bachelor’s degree in Business (Logistics and Supply Chain Management) is required. This degree will prepare you for the job by teaching you about supply chain management, inventory management, and logistics.
  • Work in customer support, logistics, or business management for at least 3-5 years. After completing your Bachelor’s degree, get some experience working in the field before applying to graduate school. 
  • Consider taking additional courses such as one-year online PGCP in Supply Chain Management from Manipal Academy of Higher Education (MAHE). 

Want to know more detailed information on how to become a supply chain specialist? Check out our blog on how to become a supply chain engineer for more information.

Pursue PGCP in SCM with Online Manipal

PGCP in SCM with Online Manipal is the most comprehensive course available in this domain. Experts design the course curriculum with years of experience teaching and training students. The course covers all the essential topics related to Supply Chain Management, including supply chain planning, procurement and sourcing, inventory management, logistics management, distribution, and transportation management, customer relationship management (CRM), and supply chain information system (SCIS). 


Whether you’re an experienced professional looking to expand your career options or someone who wants to make a new start, pursuing a supply chain management program at Online Manipal is an excellent choice. We offer an online program that’s flexible enough to fit into any schedule, and our faculty are committed to helping you succeed in every way possible.

We look forward to seeing what you do with your supply chain management education!

Key takeaways:

  • SCM Engineers have to solve complex problems using the best possible solutions.
  • SCM Engineers are required to work closely with businesses, as they help them find the most effective ways to manage their supply chain.
  • SCM Engineers are responsible for designing, building, and maintaining systems that help companies optimize their supply chain operations.

Machine learning vs deep learning: Key differences

Machine learning is often confused with artificial intelligence. Machine learning, deep learning, and artificial intelligence interrelated, but quite different from each other. It is essential to learn about machine learning and deep learning differences. 

Artificial intelligence is a branch of science focusing on making computers think and behave like humans. Computers excel at computing and executing a task with 100% efficiency; however, doing a simple task that a human does every day might be out of the syllabus for a computer.  

Training computers to behave like humans and perform a simple task that we do in our daily life is a complicated task. 

Let’s consider a scenario to understand this. Imagine a restaurant where robots take orders and serve a crowded bar with drinks. It might sound like a cake piece to you; however, the robot might have to do the complex computation to serve the right orders to the correct customers. 

Machine learning and deep learning are the methods to train computers to execute a simple task precisely and quickly. Machine learning trains a computer to perform a task through explicit programming.

If you are wondering how deep learning is related to machine learning, deep learning is a subset of machine learning that trains the computer using an artificial neural network. 

Deep down, it’s all interrelated. 

What is Machine Learning?

Machine learning can be defined as a subset of artificial intelligence that helps to teach and train computers to predict accurate outcomes without explicit programming to perform the task. Computers are given structured data, and machine learning algorithms train the computer to become better at evaluating data and processing the data with time. 

Are you wondering what structured data is? Imagine structured data that data inputs that can be easily classified and put in rows and columns. It would be easy to understand this with an example. Imagine you create a “‘Food” excel sheet and have two-row entries, namely fruit and meat. Computers can effortlessly work with structured data, and after programming, you can feed new data inputs to the computer. With the help of a machine learning program, the computer sorts and acts on the data without any human intervention. At some point, the computer would learn that fruit is a type of food, and it might not need your help to label the data anymore. 

In simple words, machine learning trains the computer by feeding examples until the computer learns to differentiate. Data science is related to machine learning and provides the data it requires to process, learn more about it here. 

Talking about machine learning vs deep learning, deep learning is more efficient and bare accurate results than machine learning.

Different types of machine learning methods 

There are different methods of machine learning by which you can train the computer. The entire machine learning process stays the same; however, the type of data you feed to the computer changes. Let’s learn about the different types of ML methods and what data a data scientist provides to the different ML methods. If data science intrigues you, click here to learn more about it. 

  1. Supervised Learning 

As the name suggests, the supervised learning method requires structured data to train the computer. Data scientists feed the algorithm well-labeled data and define the variables they want the computer to assess for correlation. 

  1. Unsupervised Learning 

In unsupervised learning, the computers are fed with unstructured data. Unstructured data does not follow a conventional data model, meaning it would be tedious to fit unstructured data into excel sheets. There are no training sets or prior knowledge given to the computer; the computer learns through discovery and observation as it analyzes the data. 

  1. Semi-supervised learning 

Semi-supervised learning requires semi-structured data. The data scientists feed the computer well-labeled and defined data; however, the computer is free to explore the data and develop an understanding by analyzing it on its own.   

  1. Reinforcement Learning

Reinforcement learning is about taking a suitable action to maximize the reward or output in a particular situation. In supervised learning, the training data comes with an answer key, however, in reinforcement learning, the answer is unavailable, so the learning agent decides to perform the task. The data scientists give positive and negative cues as it finds a way to complete the task. 

 If you are interested in exploring machine learning methods, click here

What is Deep Learning?

Talking about how deep learning is related to machine learning, deep learning can be classified as a sophisticated approach to machine learning that trains the computer to make decisions like humans and process the data as a human brain does. Complex, multi-layered, deep neural networks have different nodes through which the data transfers, and the machine extracts key features as it processes the data. 

Different types of deep learning algorithms


There are three popular types of deep learning algorithms: 

  1. Convolutional neural network (CNN)

CNN deep learning algorithms extract features from images and video sets to complete a specific task. It can be used for image classification, face authentication, and semantic segmentation. 

  1. Recurrent neural network (RNN)

Like CNN deals with images, RNN deals with memory. In RNN, the computer stores the past data points and decisions in its memory and uses the past information while reviewing the current data. It is used in natural language processing tasks, like machine translation, word embedding, and natural language modeling.

  1. Multi-layer perceptron (MLP) 

Multi-layer perceptron is a type of feed-forward neural network with densely connected layers that transform the input into the desired output. Deep neural networks in machine learning can help in pattern classification, recognition, prediction, and approximation. 

Machine Learning vs. Deep Learning

Here are some points that explain machine learning and deep learning differences:

No.Machine LearningDeep Learning
1.Machine learning uses statistical methods to train machines and improves learning with experience.Deep learning uses neural networks like the human brain to help machines make decisions and extract features from the data.
2. Machine learning is a subset and helps in developing Artificial Intelligence.However, Deep Learning is a subset of Machine Learning and one of the techniques used to train machines.
3.Machine Learning focuses on increasing the accuracy to achieve the results rather than the success ratio. Deep Learning produces results with high accuracy when trained with massive data.
4.Its efficiency is less as compared to deep learning as it cannot work with large datasets.It is highly efficient to process large data sets. 

Future of machine learning and deep learning 

We live in a high-tech world where technology is helping all the different sectors, like business, healthcare, and others, to automate their processes and upgrade their industries. Here is how machine learning and deep learning can make a difference and make the future looks promising and bright: 

  1. Optimizing operations in document management. If you are interested in reading how AI can change the marketing industry, click here.
  1. Enhanced healthcare as machine learning programs can look into patients’ health history to devise personalized treatment plans. 
  1. Reducing and detecting fraud will help the banking and finance institution to identify fake documents, filter phishing emails, predict fraudulent transactions, and prevent identity thefts. 
  1. Provide customers with personalized services on entertainment and social media platforms like face swap filters and Netflix’s recommendation features.
  1. Deep neural networks in machine learning will help develop models that mimic human behavior. 


We live in a period where technology is evolving, and we are interested in finding new ways to simplify our daily lives. The invention of computers changed our lives, and the evolution of the computer will change our lifestyle.  

Machine Learning and Deep learning algorithms are used productively as new technologies unfold. A recent study shows that by 2025, more than 97 million people will work in AI space. Undoubtedly, learning about machine learning and deep learning today will be worthwhile and bear sweet fruits in the future. 

If you are interested in learning what machine learning and deep learning are, you can opt for online courses available on the Online Manipal website. We offer online graduate, post-graduate, and certification programs specifically designed for you. You can learn at your pace, and our experienced faculty will assist you so you can have a brighter future. 

 Key takeaways : 

  • Machine Learning is a branch of science that tackles writing algorithms to train a computer to make decisions with increased accuracy. 
  • There are four types of machine learning algorithms that differ from the type of data we feed to the machines. They are – supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning.
  • Deep Learning is a type of machine learning technique that works on artificial neural networks. Artificial neural networks consist of densely connected nodes that process the data and extract essential features to analyze the data. 
  • There are three popular types of deep learning algorithms – CNN, RNN, and MLP.

2022 Roundup: How online degrees have gained popularity over the years

Over the last few years, with the advent of cutting-edge technology, online learning has gained popularity. The Covid19 pandemic in 2020 pushed students and professionals to study online. Considering its flexibility, accessibility and affordability, online learning has become a popular choice. Reports estimated a steady growth of the online education and e-learning market in 2022. As per Technavio, the year-over-year growth rate for 2022 is estimated at 15.45%.  

As a major online platform in higher education, Online Manipal added more online programs from premier institutions like the Manipal Academy of Higher Education (MAHE), T.A. Pai Management Institute (TAPMI), and Manipal Institute of Technology (MIT). 

Here are top blog posts on the benefits of online learning: 

  1. Major differences between distance education and online learning  

While there is a misconception that online learning and distance learning are same, they are quite different from each other. This article will help you differentiate between the two modes of learning.  Read to know about difference between online and distance learning

  1. Online learning: Pros and cons of online education 

Online learning comes with its own pros and cons. Online learning offers several benefits like flexible learning and affordable education. Read this article to find out whether online education is the perfect pick for you. Know more about pros and cons of online education.

  1. Online BBA vs. Distance BBA course: Which is better? 

Nowadays, students have various options to pursue a BBA degree program. This article provides a list of differences between online BBA and distance BBA degree programs to help you choose the best mode for your future success.  Read to know more about online vs distance BBA.

  1. Online MCA course details: All you need to know 

Master of Computer Applications (MCA) makes students well versed with the core concepts of computer programming and how they are applied in practice. This blog post talks everything about MCA program, including syllabus, skills, career prospects, and online learning mode. Get online MCA course details.

  1. Ten best job options after M.Com 

M.Com is one of the most preferred postgraduate programs in India. A job after an M.Com degree program is always a concern for students. This article has listed the ten best jobs one can enter after their M.Com degree. Find out the top best job options after M.Com.

  1. Is an online MBA valid in India?  

Online MBA courses provided by top universities are entitled and recognized by the University Grants Commission (UGC). The UGC regulates the quality of online degree programs and certifications offered by universities in India. Nowadays, employers value an online MBA and traditional on-campus MBA equally. Get clarified your doubt on the validity of online MBA in India

  1. Best online master’s degree programs 

An online master’s degree not only provides greater flexibility and affordability, but also helps you expand your professional network. Today, enrollments for online master’s degree programs like MBA, MCA and MSc have gone up, considering the benefits of online learning. Best online master’s degree programs are here.

  1. India sees a jump in online degree enrollments 

A November 2022 report by University Grants Commission (UGC) stated that the enrollments for online programs has jumped by 179% in India. Most learners prefer online degree programs like MBA, MCA, BBA and BCA. Learn more about the online degree enrollments in India.

  1. How online degrees help you manage your studies while working 

An online degree provides utmost flexibility and accessibility to working professionals, as they don’t have to quit their jobs to study. They can study at their own pace and continue working while upskilling themselves. Read to know about benefits of online degrees for working professionals.

  1. Are online degrees acceptable in the USA? 

If you are pursuing an online degree and are worried whether it is valid in the USA, we got you covered. Online degrees from duly recognized universities are valid in the USA. Read this article to find out more about the online degrees validity in the USA.  

We hope that you found these articles insightful and are ready to share them in your circles. If you would like to share any feedback with us, please mail or ping us on our social channels – Facebook, LinkedIn, & Instagram

Is an MBA in fashion management worth it?

Fashion is an industry that has always been at the forefront of innovation and creativity, and it’s only getting more exciting. As new technologies, new materials, and new business models come into play; there’s no doubt that the industry will continue to change and grow. And if you want to be part of this growth, a degree in fashion management can help you gain the skills necessary to succeed.

Want to know the scope of fashion management in future? Check out our blog on advantages of MBA in fashion management for more details.

What will you learn in an MBA in fashion management?

If you’re thinking about an MBA in Fashion Management, we’ve got some great news: You’ll learn a lot!

The coursework in an MBA program can be pretty intense—but it’s also super-rewarding. And you’ll get a chance to develop skills that will last you a lifetime.

So what will you learn? Here are just a few things that stand out:

  • Strategic Planning
  • Organizational Leadership
  • Project management
  • Human resources management
  • Financial management
  • Marketing strategy development
  • Risk Management
  • Business Ethics
  • Entrepreneurship

Want to know more about the career opportunities in fashion management? Check out our blog on career opportunities for MBA fashion management candidates.

Benefits of pursuing an MBA in fashion management

Pursuing an MBA in fashion management can be a great way to start your career.

Here’s why:

  • Learn about the business side of fashion
  • Gain knowledge about marketing and supply chain management
  • Learn how to design and develop an effective retail strategy
  • Develop quantitative skills that can be applied in your other career areas.
  • Learn how to manage people, teams, and projects.

Still not convinced to get an MBA? Check out our blog on MBA in fashion management courses to change your mind.

Salary and job prospects after MBA in fashion management

As you can imagine, the salary prospects for fashion management graduates are excellent. In fact, according to Zip Recruiter, the average salary for a Fashion Management graduate is $56,203. But that’s just the average—if you choose to work for one of the top 50 companies in this field, you could be looking at a salary anywhere from $51k-$107k.

That’s not all, though. Fashion is an exciting industry with tons of opportunity and potential for growth—and it’s also growing faster than many other industries right now. With all of these factors combined, it’s no wonder why so many people are pursuing their MBA in Fashion Management!

Is experience compulsory for getting an MBA? Check out our blog on experience for MBA in fashion management to know more.

Different fields for a career

There are several fields to work in after getting an MBA in Fashion Management. Here are some of the most common careers after an MBA in fashion management:

  • Retail Merchandiser

This is similar to what you would do as a fashion student, working in retail outlets and helping customers find what they’re looking for. You’ll be paid by commission, which can be very lucrative if you’re good at sales and customer service.

  • Stylist 

A stylist does what you might expect: helps people look great and feel confident about themselves. Whether this involves helping someone pick out clothes to wear for an interview or organizing a whole wardrobe overhaul, stylists can make considerable differences in people’s lives.

  • Textile Designer 

There’s no substitute for experience in textile design, which is why someone with an MBA must have this kind of experience before entering this field. A textile designer creates new materials or designs clothing from scratch.

  • Visual Merchandiser 

Visual merchandisers work in retail stores to ensure shoppers have an enjoyable shopping experience. They use color psychology and other techniques to draw attention to sales items and encourage impulse buys from customers who may not have come into the store planning on buying anything!

  • Fashion designer

A Fashion Designer is responsible for creating fashion designs from conception to completion. They have to have a back-end team that helps them execute their strategies, an eye for detail, and creativity. They need to be able to work with different materials and styles and know how to work with fabrics.

  • Retail buyer

A retail buyer is responsible for buying goods for a store or chain of stores. They need to know the latest trends and what will sell in those stores, whether high-end or low-end goods. They must understand pricing, seasonal buying trends, and business growth strategies.

  • Retail manager

A retail manager oversees all aspects of a retail store, including staffing, payroll management, inventory control, customer service training programs, sales promotions, and advertising campaigns.

Is it worth pursuing an MBA in fashion management?

The short answer is yes! An MBA in fashion management is worth pursuing, and here’s why:

An MBA in fashion management is a great way to prepare yourself for any position at a fashion company, from the CEO to the sales team. The MBA curriculum covers the latest trends and practices in the industry, so you’ll be ready to hit the ground running.

The curriculum of an MBA in fashion management will vary from school to school, but all programs share certain core elements. You’ll learn about financial analysis, balancing supply and demand, and managing inventory and capital. You’ll also get a thorough grounding in consumer behavior research and why companies need to understand what their customers want. You’ll also learn about human resources management and how to hire employees who contribute positively to your company’s bottom line.

Fashion companies need leaders who understand the business side of things just as much as they need designers who can develop innovative designs that sell well in stores. An MBA program will help you develop both sides of your brain: one that understands how money works and another that’s creative enough to create beautiful clothing that people will buy!

But what is the MBA fashion management eligibility? A candidate must have a graduate degree from a recognized institution to be eligible for admission.


Fashion is an industry that requires a lot of knowledge, experience, and hard work. It is essential to properly understand the fashion industry and its dynamics to succeed in this field.

Pursue an online MBA in fashion management from Manipal Academy of Higher Education, available on the Online Manipal website. 

The course curriculum includes modules such as Fashion Business Management, Fashion Merchandising and Sales Management, Apparel Design and Production, Textile Science and Technology, Retail Management, etc. These modules will help you understand how the fashion industry works and how you can use your skills to start your own business or work for an existing company.

Key takeaways:

  • An MBA in fashion management will help you understand the business side of fashion.
  • It can give you a competitive edge over other applicants in the industry who may not have an MBA.
  • It will help you build relationships with other businesses, which can help secure jobs and partnerships after graduation.
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