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

Duke University
Mastering Data Analysis in Excel
Skills you'll gain: Microsoft Excel, Excel Formulas, Probability Distribution, Business Risk Management, Predictive Modeling, Regression Analysis, Business Analytics, Statistical Methods, Forecasting, Data Analysis, Probability, Classification And Regression Tree (CART), Financial Analysis, Performance Metric
4.2
Rating, 4.2 out of 5 stars
3.9K reviews
Mixed · Course · 1 - 3 Months
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
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
Coursera Project Network
Data Analysis in R: Predictive Analysis with Regression
Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistics
4.1
Rating, 4.1 out of 5 stars
11 reviews
Intermediate · Guided Project · Less Than 2 Hours
IBM
Data Analysis and Visualization Foundations
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Big Data, Data Visualization Software, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Mining, Dashboard, Apache Hadoop, Data Collection, Tree Maps, Excel Formulas, Apache Hive, Microsoft Excel, Data Quality, Data Cleansing, Data Import/Export
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
26K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
EDUCBA
Regression & Forecasting for Data Scientists using Python
Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Cleansing, Data Transformation
4.6
Rating, 4.6 out of 5 stars
39 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Big Data, Ggplot2, Database Design, Data Analysis, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Professional Certificate · 3 - 6 Months
Coursera Project Network
Building Statistical Models in R: Linear Regression
Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
17 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks
University of Pennsylvania
Data Analysis Using Python
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Quality, Jupyter, Data Import/Export, Histogram, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
413 reviews
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling, Data-Driven Decision-Making, Algorithms
4.9
Rating, 4.9 out of 5 stars
27K reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Logistic Regression and Prediction for Health Data
Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Predictive Modeling, Probability & Statistics, Statistical Modeling, Classification And Regression Tree (CART), Statistical Methods, Biostatistics, Statistical Machine Learning, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Applied Machine Learning, Descriptive Statistics, Exploratory Data Analysis, Health Care
Intermediate · Course · 1 - 4 Weeks