Regression Analysis - Fundamentals and Practical Applications

Regression Analysis – Fundamentals & Practical Applications

Linear regression analysis is critical for understanding and defining the strength of the relationship between variables. This analysis can be used to make predictions for a variable given the value of another known variable.

This course provides an overview of linear regression. You will learn how linear regression works, how to build effective linear regression models and how to use and interpret the information these models give us. In addition to the theory, we will perform linear regression on real data using both Excel and Python. The practical cases you will work through will be similar to those you might encounter in a business setting.

Regression Analysis learning objectives

Upon completing this course, you will be able to:

• Describe linear regression and how it is used to make real-world predictions
• Perform simple regression calculations in Excel and RegressIt
• Create linear regression models in Python using both statsmodels and sklearn modules
• Assess if conclusions are appropriate based on the implicit assumptions of linear regression
• Evaluate a model using regression coefficients, p-values, and other metrics
• Summarize advanced regression techniques and when to use them

Who should take this course?

Regression is the critical tool used for making inferences or predictions based on the relationships between variables. Whether you’re working as a business leader or data analyst, the theory and practical toolsets taught in this course will serve you throughout your career. No background in coding with Python is required for this course.

Common career paths for students who take the BIDA™ program are Business Intelligence, Asset Management, Data Analyst, Quantitative Analyst, and other finance careers.

Regression Analysis is an required course of CFI’s BIDA™ program

This course is part of CFI’s Business Intelligence & Data Analyst (BIDA)™ Program. This program covers all the basic, intermediate, and advanced topics about business intelligence and data analysis. The program also includes a number of case studies to allow students to practice skills and tasks on sample data. This program teaches the quantitative methods used in the finance and capital markets industry. It is ideal for students who want to learn how to analyze complex data. The program is completely online so you can take it at your own pace, from anywhere in the world.

Common career paths for students who take the BIDA™ program are Business Intelligence, Asset Management, Data Analyst, Quantitative Analyst, and other finance careers.

Students can sign up for updates and reserve a spot in the Business Intelligence & Data Analyst (BIDA)™ Program on the student dashboard.