Introduces programming basics like variables, functions, and loops through hands-on exercises and real-world examples.

Teaches you how to program in R, covering topics like reading data, writing functions, debugging, and organizing code for effective data analysis.

Develop skills in analyzing business data, uncovering insights, and applying them to solve real business problems.

Learn the basics of statistics and how to use R programming to explore, organize, and analyze data.

Learn about data science and machine learning, get hands-on experience with tools like SQL, Python, JupyterLab, and RStudio, for solving data problems.

Learn to analyze data and build models using Python tools like pandas, Matplotlib, and scikit-learn, with hands-on projects.

Learn how to organize, study, and present data using tools like Excel, Python, and SQL, with step-by-step practice projects.

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.

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.

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.