What is regression analysis?

Regression analysis is a mathematical process in statistics that allows you to discover trends in the data you're examining. Regression analysis allows you to determine the relationship between the outcome of a situation and the variables that affect that outcome. You can use regression analysis to sort out the dependent and independent variables that make a larger difference in the outcome and those that don't affect the outcome as much. It also allows you to make educated judgments on which factors to ignore and which factors matter most when it comes to planning and decision making.

Why learn about regression analysis?

It's important to learn about regression analysis because it will help you understand the relationship between outcomes and the factors that determine those outcomes. Regression analysis is a flexible form of analysis that has applications across different disciplines. You can use regression analysis to build a business plan, develop a nutrition and workout regimen, research sociological and psychological issues, or one of many other decisions that you may need to make. Regression analysis allows you to zero in on the variables that factor most into your discipline.

How does regression analysis help my career?

A firm understanding of regression analysis allows you to make better projections and decisions because you're able to see which factors affect an outcome more than others. Regression analysis allows you to understand how different scenarios play out because you know which variables make a difference in your line of work. Because regression analysis works across various disciplines that rely on data, such as finance and investing, you can apply it in a number of different careers, which means it's a concept that serves you well no matter where you work.

How can taking online courses help me learn regression analysis?

Online courses help you develop your knowledge of regression analysis and how to apply it in your career. You can use online courses to help you understand regression analysis if you've never applied it before or if you have a passing familiarity with it. You can learn the basic concepts with online courses, or you can take a more in-depth approach to what regression analysis can do for your business. One of the best things about taking online courses to learn about regression analysis is that you can learn at a pace and on a schedule that works best for you.

What are the benefits of taking an online Regression Analysis course?

Online Regression Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Regression Analysis skills. Choose from a wide range of Regression Analysis courses offered by top universities and industry leaders tailored to various skill levels.

What Regression Analysis courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Regression Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Regression Analysis Courses - Learn Regression Analysis Online

Explore the Regression Analysis Course Catalog

SAS
Regression Modeling Fundamentals
Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing
4.7
Rating, 4.7 out of 5 stars
53 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Reproducible Research
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Exploratory Data Analysis, R Programming, Technical Communication, Version Control
4.6
Rating, 4.6 out of 5 stars
4.2K reviews
Mixed · Course · 1 - 4 Weeks
Wesleyan University
Machine Learning for Data Analysis
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Data Analysis, Data Science, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis
4.2
Rating, 4.2 out of 5 stars
324 reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Advanced Linear Models for Data Science 2: Statistical Linear Models
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics
4.6
Rating, 4.6 out of 5 stars
100 reviews
Advanced · Course · 1 - 4 Weeks
SAS
Introduction to Statistical Analysis: Hypothesis Testing
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Analysis, Analysis
4.7
Rating, 4.7 out of 5 stars
165 reviews
Intermediate · Course · 1 - 4 Weeks
Codio
Data Science and Analysis Tools - from Jupyter to R Markdown
Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Interactive Data Visualization, Data Analysis, Data Import/Export, Data Visualization
3.9
Rating, 3.9 out of 5 stars
21 reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Prediction Models with Sports Data
Skills you'll gain: Forecasting, Predictive Analytics, Predictive Modeling, Data Analysis, Analytics, Regression Analysis, Statistical Analysis, Business Ethics, Python Programming, Probability & Statistics, Data Ethics
4.5
Rating, 4.5 out of 5 stars
39 reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Inferential Statistical Analysis with Python
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Quantitative Research, Python Programming, Matplotlib, NumPy
4.6
Rating, 4.6 out of 5 stars
917 reviews
Intermediate · Course · 1 - 4 Weeks
Rice University
Business Statistics and Analysis Capstone
Skills you'll gain: Business Analytics, Statistical Analysis, Data Analysis, Data Presentation, Statistics, Analytical Skills, Technical Communication, Exploratory Data Analysis, Regression Analysis, Business, Strategic Partnership
4.7
Rating, 4.7 out of 5 stars
435 reviews
Mixed · Course · 1 - 4 Weeks
University of Washington
Practical Predictive Analytics: Models and Methods
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Statistics, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm, Algorithms
4.1
Rating, 4.1 out of 5 stars
320 reviews
Mixed · Course · 1 - 4 Weeks
University of Colorado Boulder
Statistics and Applied Data Analysis
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
30 reviews
Beginner · Specialization · 3 - 6 Months
University of Colorado Boulder
Generalized Linear Models and Nonparametric Regression
Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Mathematical Modeling, Machine Learning, Statistical Inference, Probability Distribution
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
20 reviews
Intermediate · Course · 1 - 4 Weeks