Linear Regression Courses and Certifications

Statistical Learning with R

28 reviews

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Regression Models

33 reviews

Explore linear and generalized regression models, covering least squares, multivariable analysis, diagnostics, and applications in data science. Learn to interpret results and select appropriate models.

• Coursera
• 54 hours
• On-Demand
• Free Online Course (Audit)

Introduction to Data Science with Python

124 ratings at edX

Learn the concepts and techniques that make up the foundation of data science and machine learning.

• edX
• 8 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

Data Analysis and Visualization

This course will introduce students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques.

• Udacity
• 16 weeks
• On-Demand
• Free Online Course

Statistical Learning with Python

14 ratings at edX

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Stanford CS229 - Machine Learning Full Course Taught by Andrew Ng - Autumn 2018

Comprehensive machine learning series covering fundamental concepts to advanced topics, taught by Andrew Ng. Includes algorithms, neural networks, and reinforcement learning.

• YouTube
• 1 day 3 hours
• On-Demand
• Free Online Course

Machine Learning Essentials

Explore statistical learning techniques for machine learning, including linear regression and classification. Apply concepts through Python coding assignments and practical problem-solving.

• Coursera
• 17 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

AI and Machine Learning Essentials with Python

Gain essential skills in AI, machine learning, and Python programming. Learn statistics, solve real-world problems, and prepare for advanced study in these cutting-edge fields.

• Coursera
• On-Demand
• Paid Course
• 3 courses

Advanced Linear Models for Data Science 1: Least Squares

187 ratings at Coursera

Explore advanced linear algebra and statistics for data science, focusing on least squares regression, matrix algebra, and linear models to enhance your analytical skills and understanding.

• Coursera
• 8 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Science for Health Research

Learn to organize, visualize, and analyze health data using R for statistical modeling, linear regression, and logistic regression to make data-informed decisions in public health.

• Coursera
• On-Demand
• Paid Course
• 3 courses

The Analytics Edge (Spring 2017)

2 reviews

This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies.

• MIT OpenCourseWare
• 16 hours
• On-Demand
• Free Video

Problem Solving with Advanced Analytics

Learn a scientific approach to solving problems with data, a foundational skill for anyone interested in making data driven decisions in a business context.

• Udacity
• 2 weeks
• On-Demand
• Free Online Course

AWS Machine Learning Foundations Course

Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI.

• Udacity
• 8 weeks
• On-Demand
• Free Online Course

Kaggle;  Amazon Web Services

Supervised Learning

In this course, you'll learn about different types of supervised learning and how to use them to solve real-world problems.

• Udacity
• 3 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Advanced Data Analysis with Power BI

Master Power BI for advanced data retrieval, analysis, and visualization. Learn statistics, M language, DAX functions, and create impactful reports to draw meaningful conclusions from complex datasets.

• Udacity
• 4 weeks, 5 hours a week
• On-Demand
• Paid Course