Linear Regression for Business Statistics
Learn how to use linear regression to analyze business data, interpret results, and make data-driven decisions, using Excel and real-world examples.
Working with Data
Use the list below to find free and free-to-audit courses and certifications to help build your skills in working with data. For related articles, eBooks and guides, see our Data Learning Materials page.
Business Analytics Specialization
Develop skills in analyzing business data, uncovering insights, and applying them to solve real business problems.
Statistics and R
Learn the basics of statistics and how to use R programming to explore, organize, and analyze data.
Intro to Data Science Specialization
Learn about data science and machine learning, get hands-on experience with tools like SQL, Python, JupyterLab, and RStudio, for solving data problems.
Applied Data Science with Python Specialization
Learn to analyze data and build models using Python tools like pandas, Matplotlib, and scikit-learn, with hands-on projects.
IBM Data Analyst Professional Certificate
Learn how to organize, study, and present data using tools like Excel, Python, and SQL, with step-by-step practice projects.
Google Data Analytics Professional Certificate
A beginner-friendly program by Google covering data cleaning, analysis, and visualization using spreadsheets, SQL, R, and Tableau. Includes hands-on projects and a shareable certificate, preparing learners for entry-level data analyst roles.
Business Statistics and Analysis
Develops core skills in business data analysis. Covers descriptive statistics, probability, hypothesis testing, and regression analysis, equipping students with practical tools for data-driven decision-making.
Data for Business Analysts Using Microsoft Excel
Learn to analyze and interpret business data using Excel. Covers data cleaning, formulas, pivot tables, and basic visualizations to support decision-making and business insights.
Excel Skills for Business Specialization
Learn to analyze and present data effectively. Covers key topics like data entry, formulas, charts, and basic automation.