This comprehensive Python data science course covers the essential through theory, demos, and real-world applications. With two detailed projects, this course is designed to provide practical experience that will prepare you for real world data science. You will gain hands-on knowledge in data analytics, AB testing, and business intelligence.
Tatev and Vahe from LunarTech developed this course.
More from LunarTech Academy: https://academy.lunartech.ai/courses
⭐️ Contents ⭐️
(0:00:00) Introduction
(0:08:00) Part 1: Python for Data Science and Analytics
(0:24:10) Part 1: Data Exploration and Preprocessing
(0:38:32) Part 1: Filtering, Sorting, Grouping
(0:59:26) Part 1: Descriptive Statistics
(1:15:37) Part 1: Merging & Joins
(1:37:02) Part 1: Data Visualization in Python
(1:59:55) Part 2: AB Test Crash Course - Theory
(2:36:45) Part 3 Project 1 - Data Analytics and Data Science Project
(2:39:35) Experimental vs. Control Set up
(2:50:47) Data Analytics in A/B Testing
(3:13:56) Parameters for A/B Testing
(3:21:39) Analyzing A/B Test Data
(3:42:12) Statistical Outputs Explained
(3:59:43) Concluding A/B Test Results and Case Study
(4:08:27) Part 3 Project 2 - Superstore Data Analytics Project
(4:13:57) Superstore Customer Segmentation
(4:15:07) Revenue by Customer Segment
(4:20:27) Customers Sales Insights
(4:28:36) Exploring Customer Loyalty at Superstores
(4:42:19) Superstore Shipping Strategies
(4:46:40) Geographic Market Analysis
(4:53:28) Product Performance Insights
(5:03:35) Comprehensive Sales Analysis
(5:06:18) Tracking Sales Trends
(5:22:02) Visualizing Sales by State
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