Updated in May 2025.
This course now features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.
Master essential tools for data analysis in this comprehensive course, ideal for aspiring data analysts and professionals. Start with Excel and dive deep into advanced pivot tables, data import, cleaning, and preparation. Learn to build dynamic dashboards, use conditional formatting, and integrate slicers for insightful reporting.
Advance your skills with Power Query and Power Pivot to automate data transformations and streamline workflows. Then shift to Python for data manipulation, scripting, and automating spreadsheet updates, enabling you to handle real-world data challenges efficiently.
Explore advanced analytics with Power BI, Tableau, and Alteryx. Build interactive dashboards, create KPI visuals, and implement predictive analytics using Alteryx workflows. Learn to write DAX formulas in Power BI and craft data-driven stories in Tableau. Perform statistical analysis, merge datasets, and confidently share insights through professional-grade reports.
This course is ideal for beginners and intermediate users aiming to upskill in data analysis. No prior experience required, but basic computer literacy is recommended.
Applied Learning Project
Throughout this course, you'll complete hands-on projects like automating data updates in spreadsheets, building interactive dashboards in Tableau and Power BI, and creating Alteryx workflows for advanced analytics. These projects simulate real-world scenarios to prepare you for professional challenges.
