Regression

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Introductory Statistics : Analyzing Data Using Graphs and Statistics (edX) EdX
Seoul National University,SNUx

Introductory Statistics : Analyzing Data Using Graphs and Statistics (edX)

Discover the fundamentals of statistics and delve into practical applications with 'Introductory Statistics: Analyzing Data Using Graphs and Statistics'. This course equips you with essential skills in data interpretation through graphing and statistical analysis, using compelling real-world examples to illustrate key concepts.

Self Paced
Self-Paced
Foundations of Sports Analytics: Data, Representation, and Models in Sports (Coursera) Coursera
University of Michigan

Foundations of Sports Analytics: Data, Representation, and Models in Sports (Coursera)

Dive into the world of sports analytics with our beginner-friendly course. Using Python, explore how to represent and analyze sports data, focusing on regression analysis for team and player performance across major leagues like NFL, NBA, NHL, EPL, and IPL. Gain valuable skills in extracting meaningful insights from sports data.

Sep 14th 2026
5-12 Weeks
Impact Evaluation Methods with Applications in Low- and Middle-Income Countries (edX) EdX
Georgetown University,GeorgetownX

Impact Evaluation Methods with Applications in Low- and Middle-Income Countries (edX)

Economic development aims at improving lives through targeted interventions across various sectors like health, education, microfinance, agriculture, and more. This course equips you with the essential tools to evaluate these impacts effectively. You'll learn about designing and conducting randomized control trials, as well as analyzing data using regression techniques.

Self Paced
Self-Paced
Regression and Classification (Coursera) Coursera
University of Colorado Boulder

Regression and Classification (Coursera)

Dive into 'Introduction to Statistical Learning' on Coursera for an in-depth exploration of essential concepts in statistical modeling. Learn when to use specific models, how to optimize them, and understand the trade-offs between different approaches. This course covers regression, classification, decision trees, resampling methods, and more, equipping you with advanced data analysis skills.

Sep 14th 2026
5-12 Weeks
AI skills for Engineers: Supervised Machine Learning (edX) EdX
Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Discover the essential principles of machine learning tailored specifically for engineering professionals. This course will guide you through the application of various classification and regression techniques using Python's powerful scikit-learn library. You'll learn how to leverage these models for making predictions in a variety of engineering contexts, from predicting object properties to optimizing complex systems.

Self Paced
Self-Paced