Overview
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.
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 - Fundamentals & Practical Applications Learning Objectives
- Define linear regression and its applications
- Perform simple “pen and paper” regression calculations in Excel
- Apply Excel’s RegressIt plugin to solve advanced regression calculations
- Construct linear regression models in Python using both statsmodels and sklearn modules
- Explain the implicit assumptions behind linear regression
- Interpret regression outputs such as coefficients and p-values
- Recommend various regression techniques when appropriate
Level 4
2h 29min
100% online and self-paced
Field of Study: Specialized Knowledge
Start LearningWhat You'll Learn
Introduction to Linear Regression
Simple Linear Regression
Multiple Linear Regression
Interpreting Linear Regression
Advanced Linear Regression
Course Summary
Qualified Assessment
This Course is Part of the Following Programs
Why stop here? Expand your skills and show your expertise with the professional certifications, specializations, and CPE credits you’re already on your way to earning.
Business Essentials Certificate
- Skills Learned Microsoft Excel, Word, PowerPoint, Business Communication, Data Visualization, Ethics
- Career Prep Sales Skills, People Management Skills, Relationship Management Skills, Business Analysis Skills
FinTech Industry Professional (FTIP®)
- Skills Learned Financial Technology Fundamentals, Data Science and Machine Learning, Cryptocurrencies and Blockchain
- Career Prep Data Science and Machine Learning, Data Analyst, Business Analyst, Software Developer
