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Product Performance Insights
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Classroom Contents
Python for Data Science - Hands-on Projects with EDA, AB Testing and Business Intelligence
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- 1 Introduction
- 2 Part 1: Python for Data Science and Analytics
- 3 Part 1: Data Exploration and Preprocessing
- 4 Part 1: Filtering, Sorting, Grouping
- 5 Part 1: Descriptive Statistics
- 6 Part 1: Merging & Joins
- 7 Part 1: Data Visualization in Python
- 8 Part 2: AB Test Crash Course - Theory
- 9 Part 3 Project 1 - Data Analytics and Data Science Project
- 10 Experimental vs. Control Set up
- 11 Data Analytics in A/B Testing
- 12 Parameters for A/B Testing
- 13 Analyzing A/B Test Data
- 14 Statistical Outputs Explained
- 15 Concluding A/B Test Results and Case Study
- 16 Part 3 Project 2 - Superstore Data Analytics Project
- 17 Superstore Customer Segmentation
- 18 Revenue by Customer Segment
- 19 Customers Sales Insights
- 20 Exploring Customer Loyalty at Superstores
- 21 Superstore Shipping Strategies
- 22 Geographic Market Analysis
- 23 Product Performance Insights
- 24 Comprehensive Sales Analysis
- 25 Tracking Sales Trends
- 26 Visualizing Sales by State
