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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 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.
Duration 8 Months
Institution Coursera
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $300
Total Est. Investment $300

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Financial Data Analysis with Excel, Python and Power BI program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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