Python for Data Science - Hands-on Projects with EDA, AB Testing and Business Intelligence
via freeCodeCamp
Overview
Syllabus
Introduction
Part 1: Python for Data Science and Analytics
Part 1: Data Exploration and Preprocessing
Part 1: Filtering, Sorting, Grouping
Part 1: Descriptive Statistics
Part 1: Merging & Joins
Part 1: Data Visualization in Python
Part 2: AB Test Crash Course - Theory
Part 3 Project 1 - Data Analytics and Data Science Project
Experimental vs. Control Set up
Data Analytics in A/B Testing
Parameters for A/B Testing
Analyzing A/B Test Data
Statistical Outputs Explained
Concluding A/B Test Results and Case Study
Part 3 Project 2 - Superstore Data Analytics Project
Superstore Customer Segmentation
Revenue by Customer Segment
Customers Sales Insights
Exploring Customer Loyalty at Superstores
Superstore Shipping Strategies
Geographic Market Analysis
Product Performance Insights
Comprehensive Sales Analysis
Tracking Sales Trends
Visualizing Sales by State
Taught by
freeCodeCamp.org