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Data Skills for Finance Professionals

4.50
0 students
Updated May 2026

Course Description

Data Skills for Finance Professionals is a comprehensive bundle designed to equip finance professionals with in-demand data analysis skills using Excel and Power BI. Whether you’re preparing dashboards, building data models, or analyzing business performance, this course gives you the tools to work smarter and faster with data.Start with the Advanced Excel Dashboard Masterclass, where you’ll learn to design dynamic dashboards using form controls, charts, and formulas. You'll master techniques like interactive filtering, dynamic charting, and professional formatting — essential for reporting in financial roles.Then, dive into Power Pivot Masterclass, where you’ll handle large datasets, build relationships, and create powerful reports using Excel’s Data Model. You'll learn to use DAX (Data Analysis Expressions), logical functions, calculated columns, KPIs, and time intelligence — all critical for financial modeling and performance tracking.Next, deepen your skills with the Data Analysis in Excel Course. Learn essential tools like data validation, advanced filters, conditional formatting, and what-if analysis. These techniques help you control data inputs, explore scenarios, and create cleaner, more reliable spreadsheets for financial decisions.Finally, level up with the Advanced DAX in Power BI course. You'll understand how Power BI’s DAX engine works, build complex calculations, and apply advanced functions like CALCULATE, FILTER, RANKX, and time intelligence for fiscal reporting. You'll also master relationships, iterator functions, and custom calendar logic — ideal for budgeting, forecasting, and performance analysis.This bundle is ideal for finance professionals who want to transition from basic spreadsheet tasks to advanced data analysis and reporting using Excel and Power BI. By the end, you’ll confidently transform raw data into insights that drive strategic financial decisions.
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Course Details

  • Level All Levels
  • Lectures 22
  • Duration