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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: ⭐️ 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 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: Read hundreds of articles on programming:
