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

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Course Description

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

1) No prior coding language knowledge is required.

2) You will have to download Python (Anaconda) by using the link given below - Python (Anaconda): anaconda.com/download Choose the 3.6

Meet Your Instructor

CA Vishal Zawar

CA Vishal Zawar, is a qualified Chartered Accountant and holds 5+ years of experience of teaching Financing Management, Financial Modeling, Financial statement analysis. He has worked as Financial Analyst with Medical solutions India private limited. He has excellent command over MS Excel and he has been conducting sessions on Advanced Excel. His practical approach towards teaching Finance makes students understand concepts deeply and make them market ready.