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.

Learn to analyze and present data effectively. Covers key topics like data entry, formulas, charts, and basic automation.

Learn to transform data into actionable insights using Tableau. Covers data preparation, creating visualizations, interactive dashboards, and storytelling with data through a hands-on Capstone Project.

A Microsoft certification in Power BI, covering best practices for data preparation, modeling, visualization, analysis, and secure management of business intelligence solutions

Learn the core skills to transition from Excel to Power BI. This course covers importing and transforming data, building data models, creating visualizations and reports, and publishing dashboards.