Best Platforms to Learn Data Science and Machine Learning in 2024

Best Platforms to Learn Data Science and Machine Learning in 2024

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Rashmi
Rashmi Karan
Manager - Content
Updated on Dec 6, 2023 10:05 IST

According to IDC, the global data science and machine learning (DSML) market is expected to grow from $191.5 billion in 2023 to $557.9 billion in 2027 at a compound annual growth rate (CAGR) of 28.4%. This has made Data Science & Machine Learning jobs the ‘hottest job of the decade’ and are the fastest-growing fields in tech. If you want to start a career in data science and machine learning, the easiest way to start is by taking an online data science course from any of the highest-rated institutes and resources. Most professionals spend too much time searching for the right course or technology. To help you in your search, we offer a quick overview of the best platforms to learn data science and machine learning.

best platforms to learn data science and machine learning
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Best Platforms to Learn Data Science

These platforms and their data science and machine learning courses suit all, from freshers to experienced professionals. We hope you’ll find the right course and patiently work on finishing it. Here’s the list:

Coursera

Coursera is a popular online learning platform offering massive open online courses (MOOC), specializations, and degrees in various subjects, including data science, machine learning, and Artificial Intelligence. This platform hosts courses from top universities, including Harvard University, the University of Toronto, Johns Hopkins University, the University of Michigan, MITx, etc. Coursera courses can be audited for free, and certificates can be obtained by paying the mentioned amount. You will find that most of the courses from Coursera are part of a particular specialization, which is a micro-credential offered by Coursera. These specializations include a capstone project geared towards in-demand business and technology skills.

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edX

A joint venture of the Massachusetts Institute of Technology and Harvard University, edX is a massive open online course provider. It hosts free and paid university-level data science courses along with other specializations. edX hosts data science courses in Python, R Programming, Machine Learning & Artificial Intelligence, Big Data, and Deep Learning. Some of the most popular ones include –

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Udemy

Udemy is among the most popular global online learning platforms designed explicitly to improve the job-related skills of the participants. It has the world’s largest selection of courses, including over 100,000 online video courses, with over 1000 data science and machine learning courses. Udemy offers massive discounts of over 70% on most of its courses; pick the course that suits your requirements.

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Udacity

Udacity is a popular for-profit educational organization that focuses on career advancement programs for professionals. It is one of the best platforms to learn data science and both paid and free are available online. The courses are created in partnership with leading universities globally. Some of the popular data science programs you can consider taking up from Udacity are –

Edureka

Edureka is an Indian e-learning platform that provides live, instructor-led courses for professionals willing to upskill themselves. Edureka is one of the best platforms to learn data science and offers interactive classes, where every course culminates in a live project. You can find some quality data science courses on Edureka. Note that most of these courses are paid. Some of the popular data science courses include –

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DataCamp

DataCamp offers interactive data science and machine learning courses in different specializations. This is a dedicated resource for data science aspirants, with courses at both beginner and advanced levels. Industry experts curate the courses and include video lessons, as well as coding challenges and projects. Some of the popular data science courses are –

Kaggle

The bible of data scientists. It is a subsidiary of Google LLC and serves as an online community of data scientists and machine learning practitioners. Kaggle provides data science enthusiasts with a platform to interact and compete in solving real-life problems while upskilling themselves. Kaggle also works towards finding and publishing data sets and building models in a web-based data science environment. The platform is more towards offering online micro-courses that can be helpful for those who look forward to quickly upskilling themselves. Some of the free micro-courses through which you can learn data science and machine learning are –

Some Tips to Help You Pick the Best Platform for Learning Data Science and Machine Learning -

  • Look for a platform with a comprehensive curriculum. The curriculum should cover all data science and machine learning aspects, from data preparation to model deployment.
  • Choose a platform with experienced instructors. The instructors should have deep knowledge of data science and machine learning and the ability to teach complex concepts clearly and concisely.
  • Make sure the platform offers hands-on projects. Projects are essential for applying what you learn and developing your skills.
  • Consider the platform's community features. Some platforms offer features such as discussion forums and mentor matching, which can help get support from other learners.
  • Start with a free or low-cost platform. This way, you can try different platforms and see which one you like best before committing to a subscription.
  • Take advantage of free trials and promotions. Many platforms offer free trials or discounts for new subscribers.
  • Feel free to switch platforms. If you are unsatisfied with a platform, you can always switch to another one.
  • Use multiple platforms. There is no one-size-fits-all platform for learning data science and machine learning. Consider using multiple platforms to get a well-rounded education.

All the best!

 

About the Author
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Rashmi Karan
Manager - Content

Rashmi is a postgraduate in Biotechnology with a flair for research-oriented work and has an experience of over 13 years in content creation and social media handling. She has a diversified writing portfolio and aim... Read Full Bio