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Best resources to master data science

Data Science
Blog Date
October 14,

Data science requires proficiency in computer programming, subject-matter expertise, and a comprehension of mathematical and statistical concepts. Data scientists apply machine learning algorithms to data like numbers, text, photos, video, and audio to create AI systems that can carry out activities that would otherwise require human intellect. As a result, analysts and business users can derive real value from the information these systems produce.

Businesses are increasingly recognizing the potential of data science, artificial intelligence, and machine learning. The ability to effectively build and apply data science capabilities is crucial for any business, regardless of industry or size, if it wants to maintain competitiveness in the era of big data.

Selecting the most appropriate medium for studying data science principles is crucial, whether you refer to the best books on data science or take up a course. Starting a career in data science already has a high enough bar. Please only use those other platforms that cheat you by providing high-priced courses. We’ll provide a comprehensive overview of how to learn data science.

Why should I learn data science? 

Various fields of business make use of data science. This provides you with a wealth of opportunities for professional development as a data scientist. Listed below are the top 5 justifications for pursuing data science education.

  1. In this industry, you can expect gratifying professional development opportunities. Data scientists are highly valuable to businesses and will continue to be in high demand.
  2. Career paths in data science include data engineer, data analyst, ML engineering, and more.
  3. The remuneration for a data scientist is very high. Due to the crucial tasks and responsibilities, data scientists typically receive high incomes, often exceeding market requirements.
  4. You won’t learn everything you require to know about running a business; that ability will only come with some work experience. That is the primary function of a data scientist. Just like that, you’ll have a running start. The ecosystem suffers from a severe lack of talent. Thus trustworthiness will always be rewarded.
  5. Although there is less competition, customer demand has remained the same. Companies constantly need help to fill these positions with qualified candidates due to scarcely available talent. Once you’re part of the group, you’ll have more say in important matters and less competition from others with your unique organizational skills.

Best resources to hone data science skills

Without further ado, here’s a rundown of the top places to get a free education in data science online. Accessible from your desk in 2022, these materials make it possible to study data science at no cost.

Online courses

Several platforms provide you with online courses for data science that you can enroll in. Here are some of the best platforms that have data science courses:


There is a website called edx where prestigious institutions can create courses and professional certificates, upload them, and make them available to anyone on the globe.


Learning data science on Coursera is what most people do. Over eighty seven million people have signed up for it. Andrew NG’s machine learning course has more than 5 million registered users.

Data Camp

Another collaborative learning environment for data science. If you are just getting started, these generative mediums are excellent resources. Codecademy’s ability to help you improve a certain skill is a big plus. It’s useful for keeping tabs on the data-related abilities necessary down the road. These gamified environments are great for newbies. These may be too advanced for those with some programming knowledge.


Hundreds of thousands of courses in fields as diverse as programming, business, web development, marketing, and more are available on this well-known online platform. More than 40 million individuals are learning new skills and discovering their hidden talents. Udemy is a fantastic online resource for those proficient in programming and who want to learn more about the machine learning and deep learning used in data science. You will not only have the opportunity to learn from seasoned professionals but also do so at a very reasonable cost.


Udacity is a well-known private university offering a data science platform to help working adults advance their careers. One of the finest places to learn data science, and you can do it for free or for a small fee, is on the internet. Courses are developed in collaboration with top institutions throughout the world.


Previously known as Lynda.com, LinkedIn Learning is now a comprehensive online learning platform where users may browse thousands of courses and video tutorials and keep track of their progress. Students require accounts to keep tabs on their studies, compile playlists of possible assignments, and organize their notes.

Online Manipal

Online Manipal is an educational platform, where students can access undergraduate, postgraduate and certification programs. Through our integrated learning management system (LMS), learners can interact with peers & faculty and attend virtually classes. Through Online Manipal, you can enroll for a specially designed MSc in data science program offered by Manipal Academy of Higher Education, that will help you establish a lucrative career in this domain.


Many free online data science courses are available on YouTube to help you get started in data science, including data science tutorials for beginners and instructive films covering the fundamentals of the math and programming languages used in the field. Searching would bring up many different video guides, presentations, and courses.

Khan Academy

Khan Academy would be a great start if you want to learn about the mathematical principles underlying data science. When starting in data science, don’t worry if you don’t have a firm grasp of mathematical principles. However, mastery of mathematical principles is essential for a career in data science. The need to be good at math is a recurring theme of why people shy away from data science. We assure you that only basic algebra and geometry from high school will suffice.


Over a few years, it has ballooned to an impressive size. It illuminated a path toward making data science accessible to everyone. As a result, even the most novice learners may quickly gain access to the knowledge of excellent data scientists worldwide. The platform’s strong gamification motivates users to contribute and gain knowledge. Data scientists can gain valuable experience through Kaggle. Gaining experience in the real world is an important step in the job application process.


In recent years, Medium has become one of the most popular places to get knowledge in fields like data science and networking. Creating a Medium account is the first step in using this site for independent study in data science. You can log in for a free account or become a paid member. Data science, machine learning, data visualization, programming, AI, and so on are just a few topics that see new daily articles published on the medium. Through a straightforward web search, you can find a wealth of papers and tutorials covering everything from first principles to cutting-edge applications in data science.

LinkedIn Groups

To expand one’s professional network, LinkedIn is a great tool. LinkedIn is home to several data science-related communities and groups, including Towards AI, DataScienceHub, and Towards data science. 


Tutorials on data science methods and techniques, as well as introductions to visualization tools, are available. The editors of KDnuggets have also compiled two tutorials on the site to help you prepare for a Data Scientist interview.


Several data sciences and machine learning-related educational resources may be found on the GitHub platform. GitHub isn’t just great for learning data science; it’s also a great place to keep track of work and showcase your portfolio.


You can discover groups devoted to just about anything on Reddit, making it one of the most visited websites online. However, Reddit might look like a chaotic jumble of symbols, inside jokes, and bizarre posts for those unfamiliar with the site. Reddit couldn’t function without the hard work of the data science team. The team aims to define and capitalize on growth opportunities by providing revolutionary and insightful data across all product and business pillars.


HackerRank is a fantastic resource for assessing one’s level of expertise in many fields. Users will incur no costs whatsoever. Their revenue comes from businesses’ use of their platform for hiring decisions. It features various coding competitions, credentials, and employment opportunities. It’s a great environment for programmers to work in. On the HackerRank platform, there are various fascinating challenges to tackle using Python, R, and SQL. HackerRank is an excellent choice to gauge and enhance your coding abilities.

Why do you need a degree in the data science field?

Data science is a challenging field that requires technical, analytical, and ethical reasoning skills. Those who can transform information into useful knowledge will benefit from obtaining a degree or a course, both professionally and personally. Despite their often unseen efforts, data scientists play a crucial role in policymaking. Obtaining a bachelor’s degree in an area related to data science, statistics, or computer science is an excellent way to get started in the profession. It is one of the employers’ most prevalent factors when employing data scientists.


Enrolling for the best data science courses online will help you build a solid profile and grab the attention of potential employers. It will reflect your problem-solving and teamwork abilities necessary to succeed as a data scientist and increase your chances of getting hired. And if you need clarification on which course to choose, then go no further than Online Manipal. MAHE’s MSc in Data Science available on Online Manipal will hone your skills and provide all the real-work insights you need to excel in this career path.


Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.

Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.

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