Best Platforms to Learn Data Science and Machine Learning in 2024

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

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
• edX
• Udemy
• Udacity
• Edureka
• DataCamp
• Kaggle

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.

• Executive Data Science Specialization by Johns Hopkins University
• Foundations: Data, Data, Everywhere by Google
• Machine Learning by Stanford
• Google Data Analytics Professional Certificate by Google
• Data Science Fundamentals with Python and SQL Specialization by IBM
• IBM Data Analyst Professional Certificate by IBM
• The Data Scientist’s Toolbox by Johns Hopkins University
• Process Mining: Data Science in Action by Eindhoven University of Technology
• Using Databases with Python by the University of Michigan
• Applied AI with Deep Learning by IBM
• Managing Big Data with MySQL by Duke University
• Data Science Fundamentals with Python and SQL Specialization by IBM
• Data Science Methodology by IBM
• Data Science Math Skills by Duke University
• Data Science as a Field University of Colorado Boulder
• Applied Data Science with Python Specialization by the University of Michigan

• Data Science for Business Innovation by EIT Digital
• Data Science: Statistics and Machine Learning Specialization by Johns Hopkins University
• Advanced Statistics for Data Science Specialization Johns Hopkins University
• Basic Data Processing and Visualization by the University of California San Diego
• Build a Data Science Web App with Streamlit and Python
• Foundations of Data Science: K-Means Clustering in Python by the University of London
• Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions by Rice University
• Practical Machine Learning by Johns Hopkins University
• Introduction to Computational Thinking and Data Science by MIT

You may also be interested in exploring: 

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 –

• Complete Data Science Training with Python for Data Analysis at the University of California, San Diego
• Data Science: Linear Regression by Harvard University
• Big Data Fundamentals by the University of Adelaide
• Big Data and Education by the University of Pennsylvania
• Deep Learning with Tensorflow by IBM
• Deep Learning with Python and PyTorch by IBM
• Statistical Inference and Modeling for High-throughput Experiments by Harvard University
• Principles, Statistical and Computational Tools for Reproducible Data Science by Harvard University
• Data Science: Capstone by Harvard University
• Data Science: Probability by Harvard University
• Data Science: Inference and Modeling by Harvard University
• Data Science: Productivity Tools by Harvard University
• Data Visualization and Building Dashboards with Excel and Cognos by IBM
• Python Basics for Data Science by IBM
• Introduction to Computational Thinking and Data Science by MIT
• Python for Data Engineering Project by IBM
• Applied Statistics with Python by Southern New Hampshire University
• Causal Diagrams: Draw Your Assumptions Before Your Conclusions by Harvard University
• Essential Math for Machine Learning: R Edition by Microsoft

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.

• Data Science Real-World Use Cases – Hands-On Python
• Statistics & Mathematics for Data Science & Data Analytics
• Machine Learning A-Z: Hands-On Python & R In Data Science
• Complete 2020 Data Science & Machine Learning Bootcamp
• Complete Machine Learning and Data Science: Zero to Mastery
• R Basics – R Programming Language Introduction
• Learn Data Science With R
• Mastering Data Science and Machine Learning Fundamentals
• Welcome to Artificial Intelligence
• Statistics for Data Science and Business Analysis
• Python for Data Science and Machine Learning Bootcamp
• LEARNING PATH: Statistics and Data Mining for Data Science
• Python Programming with Data Science
• Data Science 2021: Complete Data Science & Machine Learning
• Data Science A-Z: Real-Life Data Science Exercises Included
• Fundamentals of Decision Trees in Machine Learning
• R Basics – R Programming Language Introduction
• Introduction to R programming

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 –

• Intro to Data Analysis
• Programming for Data Science with Python
• Programming for Data Science with R
• Intro to Data Science
• Artificial Intelligence for Trading
• Machine Learning by Georgia Tech
• Artificial Intelligence for Robotics by Georgia Tech Masters
• Intro to TensorFlow for Deep Learning
• Eigenvectors and Eigenvalues
• Knowledge-Based AI: Cognitive Systems by Georgia Tech
• Data Analysis with R by Facebook
• Data Engineering
• Become a Data Scientist
• Intro to TensorFlow for Deep Learning
• Data Wrangling with MongoDB
• Data Visualization in Tableau
• Problem Solving with Advanced Analytics
• Data Analysis and Visualization with Power BI

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 –

• Python Certification Training for Data Science
• Machine Learning Certification Training using Python
• Data Analytics with R Certification Training
• Post Graduate Program in Artificial Intelligence and Machine Learning (Electronics & ICT Academy National Institute of Technology, Warangal)
• Post Graduate Certification in Data Science (Electronics & ICT Academy IIT Guwahati)
• AI & Deep Learning with TensorFlow
• Tableau Training and Certification
• Microsoft Power BI Training

• Data Science Masters Course Program

• Post Graduate Certification in Data Science

• Post Graduate Program in Artificial Intelligence and Machine Learning

• ChatGPT-4 Complete Course: Beginners to Advanced

• Data Science and Machine Learning Internship Program

• Python Scripting Certification Training

• Data Science with Python Certification Course

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 –

• DataCamp Data Science for Business
• Intermediate R
• Introduction to Data Visualization in Python
• ChatGPT Prompt Engineering for Developers
• Introduction to ChatGPT

• Machine-Learning using scikit learn

• Introduction to Python
• Intermediate Python
• Machine Learning Scientist with R

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 –

• Python – Learn the most important language for data science.
• Intro to Machine Learning – Learn the core ideas in machine learning and build your first models.
• Intermediate Machine Learning – Learn to handle missing values, non-numeric values, data leakage, and more. Your models will be more
• accurate and useful.
• Data Visualization – Make great data visualizations. A great way to see the power of coding!
• Deep Learning – Use TensorFlow to take machine learning to the next level.
• Machine Learning Explainability – Extract human-understandable insights from any machine-learning model.
• Intro to Game AI and Reinforcement Learning – Build your own video game bots using classic algorithms and cutting-edge techniques.

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!