Python for Financial Analysis
Data Analytics with Python for Finance Professionals empowers analysts to transform raw financial data into actionable insights. By combining Python libraries with Artificial Intelligence, finance teams can automate reporting, detect risks, forecast trends, and support smarter decision-making with speed, accuracy,
Outline
Data Analytics with Python for Finance Professionals Including Artificial Intelligence
Chapter 1 — Financial Analysis Lifecycle and Python Foundations:
• What is Financial Analysis?
• Financial Analysis Lifecycle
• Where Python fits in each stage
• Python Setup & Fundamentals
Chapter 2 — Data Understanding & Data Cleaning
• Understanding Financial Data
• Data Cleaning (Missing values, Incorrect data types, Duplicate transactions, Outliers, and Data validation rules)
• Learn core libraries (Such as Pandas and NumPy)
Chapter 3 — Exploratory Data Analysis (EDA)
• Purpose of EDA
• Descriptive statistics
• Distribution analysis
• Segment-based EDA
• Identifying anomalies & patterns
• Visualization of EDA
Chapter 4 — Time-Based Financial Analysis
• Why Time Matters in Finance?
• Monthly, quarterly, yearly aggregation.
• Growth analysis.
• Seasonality detection
• Trend identification
Chapter 5 — Insight Generation, Forecasting & Scenarios
• Turning analysis into business insights
Root cause analysis
• Action-oriented conclusions
Forecasting
• Scenario planning (Best / base / worst case)
Chapter 6 — Reporting, Storytelling & Capstone Project
• Structuring financial reports
• Visual storytelling
• Executive summaries
• Capstone Project
Course Fee
● Online
Rs. 6,000/- Total
- Once paid, the fee is non-refundable and non-transferable
Account Details
Bank: Habib Bank Limited
Account Title: AIN GenX
Account No: 5910-70000512-03
IBAN No: PK08 HABB 0059 1070 0005 1203
Faciliators
Irfan Bakaly
Data Analyst
25+ years of experience in Data Analysis
Noor Surani
Tech Entrepreneur
25+ years of experience in Data Analysis
Who this course is for:
Finance Professionals, Business Analysts, Consultants, Managers and Decision-Makers, Investors and Shareholders, Company Management, Financial Institutions, Industry Professionals, Students and Learners
Duration
● 6 Weeks (15 Hours)
Classes
● Online via Zoom
Schedule
- Day: Sunday's Only
- Timing: 02:30 - 05:00 pm (PST)
Starting From
● Sunday, 4 January, 2026
Participants from Top Organizations
Certificates
