Real-World Data Analytics

A free 27-lesson course. Every lesson has a video walkthrough and a Jupyter notebook you can download or open in Google Colab; 27 lessons include real datasets. Tools covered: pandas, Matplotlib, NumPy, itertools, collections, SciPy.

Real-World Data Analytics

Python Data Analytics #01: Acquiring & Auditing a Real Retail Dataset (Pandas Tutorial)

Python Data Analytics #02: Customer Segmentation with RFM Analysis in Python

Python Data Analytics #03: Market Basket Analysis & Association Rules in Python

Python Data Analytics #04: Cohort Analysis & Customer Retention in Python

Python Data Analytics #05: Sales Forecasting for Retail Demand in Python

Python Data Analytics #06: Price & Discount Impact Analysis in Python

Python Data Analytics #07: Customer Lifetime Value (CLV) Modelling in Python

Python Data Analytics #08: Product Category Performance & ABC Analysis in Python

Python Data Analytics #09: Web Scraping Real Product Prices for Competitor Analysis

Python Data Analytics #10: Retail Analytics Capstone — End-to-End Report in Python

Python Data Analytics #11: Fetching & Cleaning Real Stock Price Data in Python

Python Data Analytics #12: Portfolio Returns, Risk & the Efficient Frontier in Python

Python Data Analytics #13: Technical Indicators on Real Price Series in Python

Python Data Analytics #14: Volatility Analysis & Rolling Risk Metrics in Python

Python Data Analytics #15: Correlation & Diversification Across Real Assets

Python Data Analytics #16: Backtesting a Simple Trading Strategy in Python

Python Data Analytics #17: Real Cryptocurrency Market Analysis in Python

Python Data Analytics #18: Company Fundamentals from Real Financial Statements

Python Data Analytics #19: Value-at-Risk & Drawdown Analysis in Python

Python Data Analytics #20: Finance Capstone — Real Multi-Asset Portfolio Report

Python Data Analytics #21: Scraping & Structuring Real Social Discussion Data

Python Data Analytics #22: Sentiment Analysis on Real Text Data in Python

Python Data Analytics #23: Real Customer Churn & Retention Analysis in Python

Python Data Analytics #24: Marketing Campaign A/B Test Analysis in Python

Python Data Analytics #25: Customer Funnel & Conversion Rate Analysis in Python

Python Data Analytics #26: Analysing Real Hashtags & Topic Trends in Python

Python Data Analytics #27: Web Traffic Analytics & Attribution in Python