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Data ScienceAdvanced

Financial Data Analysis with Excel, Python and Power BI

Clean, transform, analyze, and visualize financial data using Excel, Python, R, and Power BI. In this course, you’ll develop practical data analysis skills...

By Professionals from the Industry on Coursera

About This Course

Clean, transform, analyze, and visualize financial data using Excel, Python, R, and Power BI. In this course, you’ll develop practical data analysis skills used by financial analysts to turn raw data into clear business insights. You’ll start by building structured financial budgets in Excel using advanced formulas and lookup tools. Then, you’ll clean and transform datasets using Python and apply statistical summaries in R. You’ll learn how to import and reshape structured and semi-structured data, including JSON files. Finally, you’ll design interactive Power BI dashboards, apply star-schema modeling, and implement row-level security for controlled reporting. What makes this course unique is its multi-tool approach. You won’t rely on one platform—you’ll learn how Excel, Python, R, and Power BI work together in real finance workflows. The course concludes with a portfolio-ready project where you transform retail financial data and build a performance dashboard for business reporting.

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Frequently Asked Questions

How much does Financial Data Analysis with Excel, Python and Power BI cost?

Visit the Financial Data Analysis with Excel, Python and Power BI course page for current pricing and available discounts.

Who teaches Financial Data Analysis with Excel, Python and Power BI ?

Financial Data Analysis with Excel, Python and Power BI is taught by Professionals from the Industry, Coursera.

What skill level is Financial Data Analysis with Excel, Python and Power BI for?

This course is designed for advanced learners.

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Students0
Duration7 hours
LevelAdvanced
Languageen
PlatformCoursera