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

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
Status: Free
Johns Hopkins University
Business Analytics with Excel: Elementary to Advanced
Skills you'll gain: Risk Modeling, Regression Analysis, Microsoft Excel, Business Analytics, Business Modeling, Data Modeling, Business Analysis, Risk Management, Resource Allocation, Analysis, Statistical Analysis, Mathematical Modeling, Process Optimization, Financial Analysis, Spreadsheet Software, Transportation Operations
4.8
Rating, 4.8 out of 5 stars
3.6K reviews
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
Business Foundations
Skills you'll gain: Operations Management, Return On Investment, Operational Efficiency, Financial Statements, Financial Statement Analysis, Finance, Human Capital, Go To Market Strategy, Process Analysis, Branding, People Management, Financial Reporting, Capital Budgeting, Financial Accounting, Operational Performance Management, Consumer Behaviour, Leadership and Management, Marketing Planning, Peer Review, Analysis
4.7
Rating, 4.7 out of 5 stars
26K reviews
Beginner · Specialization · 3 - 6 Months
University of Pennsylvania
Business and Financial Modeling
Skills you'll gain: Risk Modeling, Financial Statements, Probability Distribution, Mathematical Modeling, Statistical Modeling, Portfolio Management, Regression Analysis, Business Modeling, Financial Modeling, Strategic Decision-Making, Risk Management, Presentations, Decision Making, Data Visualization, Microsoft PowerPoint, Predictive Modeling, Investment Management, Spreadsheet Software, Google Sheets, Excel Formulas
4.5
Rating, 4.5 out of 5 stars
11K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
The Data Scientist’s Toolbox
Skills you'll gain: Rmarkdown, Version Control, Data Science, General Science and Research, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
4.6
Rating, 4.6 out of 5 stars
34K reviews
Mixed · Course · 1 - 4 Weeks
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Google Sheets, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software, Microsoft Excel
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
Imperial College London
Mathematics for Machine Learning: Multivariate Calculus
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Numerical Analysis, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Mathematical Theory & Analysis, Python Programming, Derivatives
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Vanderbilt University
MATLAB Programming for Engineers and Scientists
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Algorithms, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Data Analysis, Computer Programming, Programming Principles, Data Processing, Application Development, Data Structures, Scripting, Debugging, Mathematical Software, Data Manipulation
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
Howard University
Building Regression Models with Linear Algebra
Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, Data Science, NumPy
4.7
Rating, 4.7 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Graphing, Data Storytelling, Data Analysis, Statistical Analysis, Unsupervised Learning, Statistical Methods
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks
University of California San Diego
Big Data
Skills you'll gain: Apache Spark, PySpark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Data Modeling, Regression Analysis, Data Management, Applied Machine Learning, Data Infrastructure, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Databases, Data Architecture
4.5
Rating, 4.5 out of 5 stars
14K reviews
Beginner · Specialization · 3 - 6 Months
Imperial College London
Logistic Regression in R for Public Health
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Data Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Data Manipulation, Statistical Hypothesis Testing
4.8
Rating, 4.8 out of 5 stars
363 reviews
Intermediate · Course · 1 - 4 Weeks