Python for Financial Analysis: Unlocking Efficiency in Accounting and Finance Recorded Session

Module 1 - Introduction to Python and Setup

• Introduction to Python and its applications in finance and accounting
• Installing Python and setting up the development environment
• Introduction to data structures: lists, tuples, and dictionaries

Module 2 – Working with Data

• Importing and exporting data: CSV, Excel, and databases
• Data cleaning and preprocessing techniques
• Performing basic arithmetic operations

Module 3 - Financial Calculations with Python

• Calculating financial metrics: ROI, NPV, IRR, etc
• Building financial models using Python libraries like NumPy and pandas

Module 4 - Data Visualization for Analysis

• Introduction to data visualization libraries: Matplotlib and Seaborn
• Creating charts and graphs for financial data analysis (Line plots, scatter plot, bar charts, box plots, histograms etc)

Module 5: Advanced Data Analysis Techniques

• Exploratory data analysis (EDA) for financial datasets
• Creating Summary Statistics for analysis
• Implementing regression analysis and correlation for financial modelling

Module 6 - Automation and Efficiency

• Integrating Python with Excel for enhanced productivity
• Practical tips and best practices for using Python in day-to-day work