Watch Python for Data Science Course – Hands-on Projects with EDA, AB Testing & Business Intelligence Video Tutorial


Tutorial Details & Info

Tutorial Title: Python for Data Science Course – Hands-on Projects with EDA, AB Testing & Business Intelligence
Instructor / Channel: freeCodeCamp.org
Lesson Runtime: 24:31 Minutes
Publish Date: June 10, 2024
Total Students / Views: 179,229 views

Master the concepts in Python for Data Science Course – Hands-on Projects with EDA, AB Testing & Business Intelligence instructor freeCodeCamp.org. The total lesson runtime is 24:31 minutes providing step-by-step visual instructions. Follow along to build your skills today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

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 💻 project 1 Github (csv and code and more): https://github.com/TatevKaren/CaseStudies/tree/main/AB%20Testing 💻 project 2 Github: https://github.com/TatevKaren/CaseStudies/tree/main/SuperStoreCaseStudy 🎥 prerequisite - Python course for complete beginners: https://youtu.be/HXL58Ikh7UM?si=LtQUMItlXwIKTWkN ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️ 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: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

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Learn how to master Python For Data Science Course – Hands-on Projects With EDA, AB Testing & Business Intelligence with this step-by-step video tutorial guide. Throughout this course, you will learn essential skills for Python For Data Science Course – Hands-on Projects With EDA, AB Testing & Business Intelligence.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Python for Data Science Course – Hands-on Projects with EDA, AB Testing & Business Intelligence taught by freeCodeCamp.org. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Python for Data Science Course – Hands-on Projects with EDA, AB Testing & Business Intelligence.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by freeCodeCamp.org with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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