Learn regression with online courses and programs

Build the data analysis skills you need to make better business decisions. Learn about regression with online courses delivered through edX.

What is regression?

Regression analysis is a fundamental statistical technique used in data analysis to investigate and model the relationship between a dependent variable and one or more independent variables. Its primary goal is to understand and quantify how changes in the independent variables influence or predict changes in the dependent variable.

There are several types of regression models, with linear regression being one of the most common. Linear regression assumes a linear relationship between the variables, aiming to find the best-fitting line that minimizes the difference between predicted and actual values.

Regression analysis provides valuable tools for various fields, such as economics, finance, social sciences, and natural sciences. Researchers and analysts use regression to answer questions like “How do changes in advertising spending affect product sales?” or “What factors influence a student’s academic performance?” By estimating the parameters of a regression model, you can make predictions and draw meaningful inferences, helping businesses, scientists, and policymakers make informed decisions based on data-driven insights.

Regression course curriculum

If you are interested in studying regression, introductory courses may start by explaining simple linear regression, which covers the basics like how to fit a straight line to data and understand the relationship between two variables. These courses may touch on the assumptions of linear regression, such as linearity, independence of errors, constant variance, and normality of errors. Other topics that may be included in these courses include statistical modeling and data science, the basics of statistical inference, confidence intervals, and hypothesis testing. Learners can also branch out into courses that delve into the interplay between statistics and computation for the analysis of real data, as well as machine learning's role in data-driven modeling, prediction, and decision-making.

Learning about how to use this tool can supplement your knowledge of data analysis and statistics. edX offers a variety of educational opportunities for learners interested in studying these topics, as well as a host of other disciplines. A boot camp can provide flexible hands-on learning for those who want to upskill quickly, while executive education courses are designed for busy professionals. You can also pursue a more comprehensive curriculum in a bachelor’s degree program or, for more advanced learners, a master’s degree program. Find the right learning path for you.

Understanding regression analysis can open up professional opportunities that involve data analysis, modeling, and decision-making. Potential careers that can benefit from this knowledge include:

• Data analyst: Uses regression analysis to extract insights from data, identify trends, and make data-driven recommendations across different industries, including finance, marketing, healthcare, and e-commerce.

• Business analyst: Assesses the impact of business decisions, such as marketing campaigns or pricing strategies.

• Market research analyst: Analyzes consumer behavior, pricing elasticity, and market trends to help companies make informed marketing decisions.

• Financial analyst: Models and predicts financial trends, assesses risk, and builds investment portfolios.

• Economist: Studies economic phenomena, such as the relationship between variables like GDP, inflation, and interest rates.

• Machine learning engineer: Builds and optimizes machine learning models, which often involve regression as part of their algorithms.

Are you ready to grow your knowledge in this field? Start building the professional skills you need to succeed with courses offered through edX.