Python for Data Science and Data Analytics Full Hands On Learning with Projects Full Course

Streamline your journey to becoming a data science expert with our FREE workbook for 'The Complete Data Science Roadmap [2024]'! We've simplified the key steps and concepts, so you can focus on mastering the essentials without the overwhelm. Get your roadmap here: https://join.lunartech.ai/complete-datascience-roadmap Unlock the power of Python for data analytics and data science in this comprehensive hands-on course, essential for anyone aspiring to excel in data-driven fields. Dive deep into exploratory data analysis (EDA), A/B testing, and customer insights to master practical techniques required in today's data-centric world. 🎁 Free Resources: - Six Figure Data Science eBook: https://downloads.tatevaslanyan.com/six-figure-data-science-ebook - How to Land Your Dream Data Science Internship: https://join.lunartech.ai/data-science-internship--4e6b5 - Mastering Data Science and Analytics Handbook: https://join.lunartech.ai/comprehensive-data-science-guide - The Complete Data Science Roadmap [2024]: https://join.lunartech.ai/complete-datascience-roadmap - Machine Learning Fundamentals Handbook: https://join.lunartech.ai/machine-learning-fundamentals ✍️ Course Files: Python Tutorial (Data) - https://github.com/TatevKaren/Python-For-Data-Science/tree/main/Data Python Tutorial Scripts - https://github.com/TatevKaren/Python-For-Data-Science/tree/main?tab=readme-ov-file Project 1 (Data and Code) - A/B Testing Repo: https://bit.ly/3xaF3vS Project 2 (Data and Code) - Business Intelligence Repo: https://bit.ly/4bQztxL 🚨 Launch Your Data Science Career with LunarTech.AI! 🚨 Try Free: https://bit.ly/lunartech-signup 30+ Courses here: https://academy.lunartech.ai/courses 🐍📊 Master Data Analytics and Data Science Techniques in 2024 This all-inclusive guide introduces Python programming concepts and techniques essential for executing real-world data projects. Key Features: 📈 Hands-on Projects: Progress from foundational EDA to advanced A/B testing and customer segmentation. 🚀 Practical Focus: Understand how Python powers data analytics and visualization, driving insights for decision-making. 🔮 2024 Relevance: Stay ahead with a curriculum tailored to the latest trends and techniques in data science. Ideal For: 💡 Aspiring data scientists and data analysts 💪 Anyone seeking to enhance their data analysis skills using Python 🖥️ Resources and Courses to get into Machine Learning - Fundamentals to Machine Learning Course: https://bit.ly/lunartech-signup - Fundamentals to Statistics Course: https://bit.ly/lunartech-signup - Python for Data Science Course: https://bit.ly/lunartech-signup - Introduction to NLP Course: https://bit.ly/lunartech-signup - Deep Learning Interview Prep Course (100 Q&A's Part 2): https://bit.ly/lunartech-signup 👤 Meet Your Instructor: Tatev Aslanyan 🌐 Powered by: https://lunartech.ai/ 🔔 Connect with Us: LunarTech on LinkedIn: https://www.linkedin.com/company/lunartechai/ Tatev Aslanyan: https://www.linkedin.com/in/tatev-karen-aslanyan/ Vahe Aslanyan: https://www.linkedin.com/in/vahe-aslanyan/ [00:00:00] - Introduction [00:07:37] - Part 1: Python for Data Science and Analytics [00:23:47] - Part 1: Data Exploration and Preprocessing [00:38:09] - Part 1: Filtering, Sorting, Grouping [00:59:03] - Part 1: Descriptive Statistics [01:15:14] - Part 1: Merging & Joins [01:36:39] - Part 1: Data Visualization in Python [01:59:32] - Part 2: AB Test Crash Course - Theory [02:36:22] - Part 3 Project 1: Data Analytics and Data Science Project [02:39:12] - Part 3 Project 1: Experimental vs. Control Set up [02:50:24] - Part 3 Project 1: Data Analytics in A/B Testing [03:13:33] - Part 3 Project 1: Parameters for A/B Testing [03:21:16] - Part 3 Project 1: Analyzing A/B Test Data [03:41:49] - Part 3 Project 1: Statistical Outputs Explained [04:00:06] - Part 3 Project 1: Concluding A/B Test Results and Case Study [04:08:50] - Part 3 Project 2: - Superstore Data Analytics Project [04:14:20] - Part 3 Project 2: Superstore Customer Segmentation [04:15:30] - Part 3 Project 2: Revenue by Customer Segment [04:20:04] - Part 3 Project 2: Customers Sales Insights [04:28:13] - Part 3 Project 2: Exploring Customer Loyalty at Superstores [04:41:56] - Part 3 Project 2: Superstore Shipping Strategies [04:46:17] - Part 3 Project 2: Geographic Market Analysis [04:53:05] - Part 3 Project 2: Product Performance Insights [05:03:12] - Part 3 Project 2: Comprehensive Sales Analysis [05:05:55] - Part 3 Project 2: Tracking Sales Trends [05:21:39] - Part 3 Project 2: Visualizing Sales by State #PythonForDataScience #DataScience #ABTesting #DataAnalytics #PythonProgramming #DataVisualization #CustomerSegmentation #StatisticalAnalysis #SuperstoreAnalytics #SalesTrends