Regression Analysis Courses and Certifications

Machine Learning Fundamentals in R

Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

• DataCamp
• 1 day
• Self-Paced
• Free Trial Available

Forecasting Product Demand in R

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning Scientist in R

A machine learning scientist researches new approaches and builds machine learning models.

• DataCamp
• 2 days 17 hours
• Self-Paced
• Free Trial Available

A/B Testing in R

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Analyzing Survey Data in Python

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Welcome to the 3rd course in our series on causal inference concepts and methods created by Duke University with support from eBay, Inc.

• DataCamp
• Self-Paced
• Free Trial Available

This course complements the Coursera Basic Statistics course and is roughly based on the syllabus used by at the University of Amsterdam.

• DataCamp
• Self-Paced
• Free Trial Available

This course complements the course on Inferential Statistics at Coursera.

• DataCamp
• Self-Paced
• Free Trial Available

Advanced Python for Data Science Bootcamp

Master advanced Python techniques for data analysis, from lambda functions to web scraping, while building expertise in regression analysis, data visualization, and database integration.

• Noble Desktop
• 30 hours
• Self-Paced
• $1,995.00

Python Machine Learning Course Online (Self-Paced)

Master the fundamentals of machine learning with Python, from regression analysis to classification algorithms, and gain practical skills to solve real-world problems using data science libraries.

• Noble Desktop
• Self-Paced
• $1,895.00

Statistics for Data Science and Business Analysis

49499 ratings at Udemy

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis

• Udemy
• 4 hours 52 minutes
• Self-Paced
• Paid Course

Great Learning

Linear Regression Analysis - Linear Regression Python - Machine Learning

In this tutorial, we have covered all the topics such as, What is Linear Regression, Single Linear Regression, What are its advantages and much more, that will help you to understand this concept with ease.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Granger Causal Model: Introduction and Application in Regression Analysis

Explore the Granger Causal model, an application of regression that attempts to address causality in data analysis beyond mere correlation.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

R Programming 101

Multiple Regression - Dealing with Outliers and Collinearity in Data Analysis

Master statistical analysis techniques for handling outliers and collinearity in multiple regression, including identification methods and decision-making for model optimization.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

R Programming 101

Simple Linear Regression in R - Introduction to Regression Analysis

Master simple linear regression fundamentals through R programming, exploring relationships between variables, creating models, and making predictions for data-driven insights.

• YouTube
• 17 minutes
• Self-Paced
• Free Video