Udemy - Data Analytics for Finance Professionals
Data Analytics for Finance Professionals
https://WebToolTip.com
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 39m | Size: 946.35 MB
From Insight to Impact
What you'll learn
Perform advanced financial variance analysis and what-if scenario modeling using Excel Pivot Tables and Waterfall charts.
Automate financial data cleaning and ETL pipelines using Power Query to eliminate manual reporting tasks.
Build interactive Power BI dashboards using custom DAX measures to track KPIs and business performance.
Write SQL queries to extract, filter, and analyze massive corporate financial datasets from databases.
Leverage Python for finance in Google Colab to forecast revenue trends and export interactive visuals.
Deliver high-impact executive presentations and data storytelling using the consulting S.C.R. framework.
Requirements
Basic understanding of corporate finance and accounting principles (Revenue, Margins, Net Income).
Working knowledge of Microsoft Excel (No advanced VBA or complex macros required).
No prior coding experience required. We provide complete, beginner-friendly introductions and code snippets for SQL, Python, and DAX.
A free Microsoft Power BI Desktop download (Windows only) and a free Google account to access Google Colab for Python exercises.
Access and basic knowledge of Canva or any designing tool to create canvas design from scratch.