12 interactive topics covering SQL, Excel, Python, Power BI, and everything you need to land your first data analyst role.
Learn what data analytics is, the 4 types of analytics, the full data pipeline, career paths, and tools — with interactive content. Beginner-friendly guide to start your data analytics journey.
Learn about qualitative vs quantitative data, structured vs unstructured data, and common data types used in analytics. Complete guide with examples.
Master essential Excel functions for data analysis: VLOOKUP, SUMIF, Pivot Tables, data cleaning, and more. Complete hands-on guide for analysts.
Master SQL fundamentals for data analysis: SELECT, WHERE, ORDER BY, LIMIT, and database basics. Hands-on tutorial with real examples.
Master SQL JOINs (INNER, LEFT, RIGHT), GROUP BY, HAVING, aggregate functions, and subqueries. Advanced SQL tutorial with real examples.
Learn Python fundamentals for data analysis: variables, data types, lists, dictionaries, loops, and functions. Hands-on tutorial for analysts.
Master Pandas for data analysis: DataFrames, filtering, groupby, merging, data cleaning. Complete hands-on guide with real examples for analysts.
Master data visualization principles: choose right charts, design dashboards, color theory, and visualization best practices for data analysts.
Learn to build interactive dashboards with Power BI and Tableau. DAX formulas, calculated fields, filters, and dashboard best practices.
Learn essential statistics for data analysis: mean, median, standard deviation, correlation, hypothesis testing, and statistical significance.
Master A/B testing for data-driven decisions: experiment design, sample size, statistical significance, and common pitfalls. Complete practical guide.
Complete data analytics capstone project: data collection, cleaning, analysis, visualization, and insights. Real-world e-commerce analysis walkthrough.