Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau
About this course
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.
68/100
CourseAsk score
- What the provider tells you
- 32/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Master Excel for data cleaning and preparation
- Build interactive dashboards in Power BI and Tableau
- Use Python for data manipulation and automation
- Implement DAX formulas in Power BI
- Create KPI visuals and perform statistical analysis
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