Advanced Python in Excel for Finance: A Hands-On Approach
4h 48mAdvanced2024-08-13
Authors
Rancy Chepchirchir
Course details
This course is designed to equip finance professionals with the skills to harness the computational power of Python directly within the familiar environment of Excel. As financial datasets become more complex and voluminous, the need for robust, automated, and advanced analysis is paramount. This course bridges that gap by showing you how to teach Python to perform sophisticated financial analysis, automate repetitive tasks, and create dynamic financial models.
Skills covered
Corporate FinanceSpreadsheetsMicrosoft ExcelFinance and AccountingPythonProgramming LanguagesBusiness Software and ToolsOpen SourceMicrosoftSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Python in Excel for finance
- 02 - What you should know
1. Introduction to Python in Excel for Finance
- 03 - Integrating Python with Excel - An overview
- 04 - Setting up Python in Excel
- 05 - Basic Python skills for finance
2. Financial Data Analysis Fundamentals
- 06 - Importing and exporting financial data
- 07 - Data cleaning and preparation
- 08 - Basic financial calculations
3. Advanced Financial Analysis in Excel with Python
- 09 - Time series analysis
- 10 - Portfolio analysis
- 11 - Financial modeling - Part 1
- 12 - Financial modeling - Part 2
4. Data Visualization for Financial Reporting
- 13 - Creating financial charts
- 14 - Dashboard creation
- 15 - Reporting automation
5. Python for Risk Management and Compliance
- 16 - Risk analysis techniques
- 17 - Simulation models
- 18 - Compliance reporting
6. Machine Learning for Financial Forecasting
- 19 - Introduction to machine learning in finance
- 20 - Predictive models for financial data
- 21 - Integrating ML models with Excel
7. Final Capstone Project
- 22 - Capstone project walkthrough
Conclusion
- 23 - Course summary and further resources