Best Free Data Science Courses & MOOCs

Coursera

Universidad Nacional Autónoma de México

Business intelligence and data warehousing (Coursera)

Statistics & Data Analysis Data Science

Embark on a six-week journey into the world of Business Intelligence and Data Warehousing with Coursera's specialized course. Gain insights into identifying, designing, and developing analytical information systems, including descriptive analysis on data warehouses. Master integration and predictive analysis of big data using data mining and Hadoop framework techniques.

Oct 5th 2026

5-12 Weeks

Data Mining SAP HANA Business Intelligence

Coursera

University of London

Probability and Statistics: To p or not to p? (Coursera)

Statistics & Data Analysis Data Science

In an unpredictable world, making decisions can be daunting. This course, 'Probability and Statistics: To p or not to p?', equips you with the tools to understand risk, probability, and statistical analysis, empowering you to make informed choices in your personal and professional life. From identifying 'black swan' events to understanding the odds of everyday decisions, this course is designed for those who want to navigate uncertainty with confidence.

Oct 5th 2026

5-12 Weeks

Statistics Probability Decision Making

Coursera

University of London,Goldsmiths, University of London

Foundations of Data Science: K-Means Clustering in Python (Coursera)

Data Science

Dive into the core concepts of Data Science with our Foundations of Data Science: K-Means Clustering in Python course. This expert-led program will equip you with the basic mathematics, statistics, and Python programming skills needed for effective data analysis. Perfect for beginners looking to advance their knowledge in data science.

Oct 5th 2026

5-12 Weeks

Programming Python Machine Learning

Coursera

Eindhoven University of Technology

Improving Your Statistical Questions (Coursera)

Statistics & Data Analysis Data Science

Discover the secrets to asking better statistical questions in empirical research with our expert-led course. Master the skills needed to design compelling studies, challenge assumptions, and improve research practices for more interesting and impactful findings.

Oct 5th 2026

5-12 Weeks

Statistics Statistical Inference Meta-Analysis

Coursera

University of Colorado System

Clinical Natural Language Processing (Coursera)

Data Science

Dive into the world of Clinical Natural Language Processing (NLP) with our expert-led course. Whether you're a healthcare professional or an aspiring data scientist, this course will equip you with essential skills for extracting meaningful insights from unstructured clinical text data. Learn to apply linguistic principles, regular expressions, and R programming to transform raw medical notes into actionable information.

Oct 5th 2026

5-12 Weeks

NLP Natural Language Processing Clinical Natural Language Processing

Coursera

EDHEC Business School

Python and Machine Learning for Asset Management (Coursera)

Economics & Finance Data Science

Discover how to leverage data science and machine learning to enhance your investment strategies with our Python and Machine Learning for Asset Management course. Designed by experts, this course will equip you with the practical skills needed to make informed portfolio decisions based on advanced analytical techniques.

Oct 5th 2026

5-12 Weeks

Programming Python Machine Learning

Coursera

Imperial College London

Mathematics for Machine Learning: Linear Algebra (Coursera)

Statistics & Data Analysis Data Science

Dive into the core of Mathematics for Machine Learning with our Linear Algebra course. Learn about vectors, matrices, eigenvalues, eigenvectors, and apply these concepts to exciting tasks like image rotation and understanding algorithms like PageRank.

Oct 5th 2026

5-12 Weeks

Math Machine Learning Linear Algebra

Coursera

Imperial College London

Mathematics for Machine Learning: PCA (Coursera)

Data Science

Dive into the essential mathematics behind one of the most popular dimensionality reduction techniques in machine learning: Principal Component Analysis (PCA). This comprehensive course is designed for those with an intermediate understanding of statistics and linear algebra, aiming to equip you with the skills needed to apply PCA effectively in your data science projects. By the end of this course, you'll have a solid grasp on how to minimize reconstruction error and extract meaningful patterns from high-dimensional datasets.

Oct 5th 2026

4 Weeks

Statistics Analysis Machine Learning

Coursera

Alberta Machine Intelligence Institute

Machine Learning Algorithms: Supervised Learning Tip to Tail (Coursera)

Data Science

Dive into the world of Machine Learning Algorithms with our Supervised Learning Tip to Tail course. This engaging program covers essential techniques like Decision Trees, K-Nearest Neighbors, Support Vector Machines, and provides practical applications through real-world case studies. Whether you're a data scientist or business analyst, this course will equip you with the skills needed to tackle complex machine learning projects effectively.

Oct 5th 2026

4 Weeks

ML Algorithms Machine Learning