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Transform Financial Data: Recall & Import

Financial analysts spend hours manually reformatting data feeds—time that could be spent on analysis. This intermediate course teaches you to recognize data structures and automate transformations using Power Query, turning repetitive cleanup into one-click refreshes. You'll start by classifying structured, semi-structured, and unstructured data across typical financial sources—understanding how each format affects accuracy, governance, and reporting workflows. Then you'll master Power Query to import JSON feeds, flatten nested hierarchies, and create automated refresh pipelines that keep dashboards current without manual intervention. Through short videos, practical readings, and hands-on labs, you'll connect data concepts to daily analyst work—from explaining structure types in governance meetings to building repeatable transformation workflows. Real-world examples from firms like PwC and EY show how data literacy and automation drive accuracy, efficiency, and compliance. By the end, you'll transform messy JSON into clean tables, automate refresh workflows, and build the foundation for reliable, efficient financial reporting that scales.
Duration 5 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 $178
Total Est. Investment $178

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

Academic Trajectory

Program Outcome

Graduates of the Transform Financial Data: Recall & Import program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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