Mathew K AnalyticsPython for Banking and Finance
A free 24-lesson course. Every lesson has a video walkthrough and a Jupyter notebook you can download or open in Google Colab; 2 lessons include real datasets. Tools covered: pandas, NumPy, Matplotlib, seaborn, regex (re), logging.
22 minLesson 1
Python Basics for Banking
21 minLesson 2
Numbers, Strings, and Money in Banking
22 minLesson 3
Implementing Control Flow for Transaction Logic in Python: Banking and Finance Applications
26 minLesson 4
Using Python Functions to Automate Financial Rules in Banking and Finance
21 minLesson 5
Effective Error Handling in Banking Systems Using Python for Secure Financial Software
24 minLesson 6
How to Load and Analyze Bank Datasets in Python for Financial Insights
21 minLesson 7
Transaction-Level Financial Data Analysis Using Python for Banking and Finance
18 minLesson 8
How to Aggregate Daily and Monthly Financial Data Using Python for Banking Analysis
20 minLesson 11
Effective Methods for Cleaning and Managing Missing Data in Banking Datasets Using Python
19 minLesson 12
Fundamentals of SQL for Banking Analysts: Essential Skills for Financial Data Analysis
31 minLesson 14
Comparing SQL and Pandas for Effective Financial Reporting and Data Analysis
22 minLesson 15
How to Build Core Banking Views with Python for Financial Data Management
26 minLesson 16
Analyzing Key Banking KPIs with Python: A Practical Guide for Finance Professionals
22 minLesson 17
Creating Automated Regulatory Reports for Banking Compliance Using Python
21 minLesson 19
Understanding End-of-Day Processing Logic in Banking with Python
20 minLesson 20
Fundamentals of Credit Risk Data Analysis in Banking Using Python
20 minLesson 22
Feature Engineering Techniques to Improve Credit Risk Models Using Python
20 minLesson 26
Understanding Rule-Based Fraud Detection in Banking: A Practical Python Guide
25 minLesson 29
Designing Effective Fraud Alert Thresholds for Banking Systems Using Python
20 minLesson 30
Fundamentals of Time Series Analysis for Banking Professionals Using Python
21 minLesson 31
Analyzing Transaction Trends and Seasonality in Finance Using Python
23 minLesson 32
Applying Moving Averages and Smoothing Techniques to Financial Time Series in Python
20 minLesson 34
Automating Banking Workflows with Python: Practical Training for Financial Efficiency
19 minLesson 35