Are online courses a way to learn big data technologies?

Everything has changed as technology has evolved, and education is no exception. The landscape of education has altered dramatically as a result of online courses. Students and teachers have benefited from the advent of online courses. The online courses on big data technology have been well accepted. In most cases, this is not the case with new things. So, in the future, it is conceivable to assume that online learning is here to stay. It is expected to improve and become more convenient for learners with future updates and upgrades. New strategies introduced by instructors will make online courses in big data technologies more fascinating and engaging for learners. Aside from students, companies are using data technologies in big data technologies to train their workforce. With all of the excitement and effort, the future of online courses in big data technologies are very far from gloomy.

As stated above, online courses are a great way for students and young professionals to learn new skills. An online course in big data technologies makes the learning process much easier. This has also enabled individuals to successfully seek, acquire, and distribute knowledge at a minimal cost. Almost all big data online courses are self-paced, allowing students to integrate education into their lives rather than scheduling their everyday activities around school hours.

Why online courses to learn big data technologies

Some of the reasons why you should pursue an online course to learn big data technologies:

• Online courses help in continuous learning

Continuous learning is the paradigm change that the education sector is currently experiencing. Continuous learning is focused on how learners broaden their skill sets in a dynamic environment with innovations. Furthermore, it is a constant process of obtaining new information and abilities that enable individuals to execute new activities and work on new professions – continuous learning adds new aspects to their current vocations. It is a necessary prerequisite for employees to adapt to changes regularly in today’s work environment. The more people who are knowledgeable about big data technologies, the more they will be able to contribute to their firms. An online course in big data technologies is a low-cost solution to instil change in employees and assist in their personal and professional development. 

• They are more cost-effective than traditional learning 

Online course is often less expensive than in-person education modes. There is also often a wide range of payment alternatives available, such as instalments or paying per class. This enables better budget control. Many of you may also be eligible for discounts or scholarships. You can also save money on your commute and class resources, which are usually provided for free. In other words, the monetary investment is lower, but the outcomes may be superior to other options.

• Online courses offer personalised learning paths

A customised learning route is a learner-centric method that focuses on a learner’s capacity to absorb the big data technologies course in a learner-friendly manner. Learners who pursue online courses in big data technologies establish their objectives and progress at their speed while studying and going through learning materials. This is a distinct benefit that online education offers to all of its students. It assists students in navigating their learning path and achieving their objectives by linking them with the teacher and other students.

The curriculum has also moved its focus to include online-centric activities and projects into a course. This comprises, in addition to text modules, virtual classrooms, video lessons, image-rich slide-based courses, quizzes, and so on. This is to guarantee that trainees understand big data technologies in the most effective way possible.

• Social learning

Indirect learning takes the form of social learning. In other terms, it refers to learning abstractly from and with others through interactions. Some people believe that face-to-face learning is the only method to learn socially. However, this is not always the case. Social learning elements are already being included in online programmes. One such approach that has allowed learners to connect in a rich social learning setting is live classrooms.

Learners can interact with teachers and other students in the programme thanks to digital technologies. Mindful dialogues among learners are always an important component of learning, and the industry is working hard to make more and more good improvements to engage learners, so they don’t lose out.

• On-demand learning

This is a feature of online learning platforms that has facilitated growth. Learners can attend big data technologies online courses from the comfort of their own homes at any time. This flexibility has enabled individuals from all kinds of backgrounds to become learners.

Learners can choose different concepts from big data technologies to learn courses that are tailored to their specific needs. Modern learning technologies and the availability of high-quality learning resources have altered both the learning environment and the learning system.

Along with students, professionals can pursue an online programme in big data technology at any time to upgrade their skill sets in the in-demand domain. Even companies can now reach out to the best instructors and arrange online sessions to train their employees.

• Gamified learning

Gamification is a concept that involves rewarding participants when they complete each concept or module. This keeps learners interested and makes them feel rewarded when learning about big data technology. Learning platforms are increasingly integrating a range of new activities and developing patterns to assist learners in progressing in the online programme. This strategy has already proved to be very much effective, giving the best results by keeping students interested and engaged as this makes the process much more interesting. Learners are inspired by the providers’ different interactive learning tools, online currency coupons, and other valuable credentials for their careers.

Benefits of big data

Big data solutions and big data analytics can not only promote data-driven information processing but also engage your employees in ways that bring value to your company.

Now, we will go through the most important benefits of big data for businesses and organisations:

Cost optimisation: One of the most major advantages of big data technologies such as Hadoop and Spark is that they save money when it comes to keeping, processing, and analysing enormous volumes of data. Big data technologies can also help find efficient and cost-effective company practices. The logistics business is a good illustration of how big data may help reduce costs. Big data analytics enables businesses to reduce product return expenses. They can predict which goods are most likely to be returned, allowing businesses to take appropriate actions to avoid return losses.

Improve efficiency: Big data technologies have the potential to significantly increase operational efficiency as it collects vast volumes of usable customer data by connecting with customers/ clients and getting their important input. This data can then be examined and interpreted to uncover important trends, allowing businesses to build customised products/ services. Big data analytics can uncover and evaluate the most recent industry trends, helping you to stay ahead of your competition. Another advantage of big data technologies is their ability to automate routine procedures and operations. This frees up important time for human employees, which they may dedicate to jobs requiring cognitive skills.

Foster competitive pricing: Big data analytics allows you to keep track of the market and your rivals in real-time. You may not only keep track of your rivals’ previous behaviours but also examine what methods they are doing right now. Big data analytics gives you real-time information so you can – 

• Calculate and monitor the impact of pricing changes.
• Optimise corporate earnings by implementing competitive positioning.
• Examine your finances to have a better understanding of your company’s financial condition.
• Pricing plans should be based on local client’s demands, purchasing habits, and competitive market patterns.
• Automate your business’s pricing process to ensure price uniformity and minimise manual mistakes.

Boost sales and retain customer loyalty: The goal of big data is to collect and analyse large amounts of consumer data. Customer’s digital footprints show a lot about their preferences, wants, purchasing habits, and much more. This client data allows for the creation of tailored products and services to meet the demands of consumer segments. The higher a company’s personalisation quotient, the more customers it will attract. Naturally, this will result in a significant increase in sales. Customer loyalty is also influenced by customisation and the quality of the product/service. Customers will return to you from time to time if you provide high-quality items at reasonable costs with tailored features and discounts.

Innovate: Big data analytics and technologies can sift through massive datasets for important insights that can be turned into effective business strategies and choices. These perceptions are crucial for innovation. The information you obtain can be utilised to fine-tune company plans, develop new products/ services, enhance marketing approaches, improve customer service, boost staff efficiency, and come up with novel ways to broaden your brand’s reach.

Focus on the local environment: This is especially important for small enterprises that serve the local market and its clients. Even if your company operates in a limited environment, it is critical to know your rivals, what they provide, and who your consumers are. Big data technologies can scan and evaluate the local market, providing insights into local trends linked with vendors and buyers. As a result, you may use these insights to obtain a competitive advantage in the local market by providing highly customised products/ services in your specific local setting.

Control and monitor online reputation: As more businesses move their operations on the internet, it is becoming more important for firms to evaluate, maintain, and enhance their online reputation. After all, what your customers are saying about you on different internet and social media channels might influence how new buyers see your company. 

There is a slew of big data tools dedicated to sentiment analysis. These tools assist you in scouring the wide web realm for information and understanding about your products/ services and brand. Only once you understand your customers’ complaints can you strive to enhance your services, which will boost your internet presence.

Enrol in an online M.Sc. in Data Science from Online Manipal to become a big data professional

Online Manipal offers an M.Sc. in Data Science from the reputed Manipal Academy of Higher Education (MAHE). This is one of the best online programmes for students and working professionals to learn the theory and practical side of big data technologies and confidently start a career in data science. The future ready online programme is designed and delivered by the expert faculty from the MAHE. The curriculum is a perfect blend of machine learning, big data analytics, and statistics, the M.Sc. in Data Science intends to prepare you for analytical and leadership roles in various sectors. 

The programme fee is INR 2,60,000 and you can pay it in semester-wise (INR 65,000). You can also avail scholarships upto 20%  if you fit in any of the deserving categories. Candidates with a bachelor’s degree in Statistics/Mathematics/Computer Science [BSc/BE/BTech/BCA] or an equivalent degree studying the subjects for a minimum of 2 years from any recognised institutions and 50% or above marks can apply for M.Sc. Data Science programme at Online Manipal. Once you share the details in the form on the Online Manipal website, an admission counsellor will help you finish the process. 

After you submit your application with required documents and application and semester fee, the university will send the confirmation mail with the credentials to access the learning management system (LMS). The LMS contains all the course material, including the readings, bite-sized concept videos, recorded lectures, an e-library, quizzes, and a discussion forum. You can access the LMS from anywhere at any time using any device even on the low bandwidth.

Conclusion

Big data has developed as a tremendously potent tool for organisations of all sizes and industries. The most significant benefit of big data technologies is that they provide new opportunities for businesses. Despite the demonstrated advantages of big data that we have seen so far, it still has a lot of untapped potentials that need to be explored. Online courses in big data technologies have alleviated a variety of learning issues, such as time and expense constraints, that used to restrict learners’ learning routes. 

If you are interested to know more about Big Data technologies or want to make a career in the data science field, Check out the online M.Sc. in Data Science at Online Manipal and learn from best industry experts.