Go to to master Data Science & Analytics with a 7-day free Pro+ trial—get job-ready with AI resume builder, mock interviews, hands-on projects & real-world datasets. Skills Covered: 🌟Excel: Functions, Pivot Tables, Data Cleaning & Visualization 🌟SQL: Data Handling, Queries, HR Database Project 🌟Python: NumPy, Pandas, Matplotlib, Seaborn 🌟Tableau: Dashboards, Charts, Real-world Projects 🌟Machine Learning: Regression, Logistic Regression, Naive Bayes, Decision Trees, Random Forest, 🌟Clustering 🌟Generative AI & ChatGPT: Data Insights, Automation, Reporting Tools Covered: 🛠️ Excel 🛠️ SQL 🛠️ Python Libraries: NumPy, Pandas, Matplotlib, Seaborn 🛠️ Tableau 🛠️ Machine Learning Algorithms 🛠️ Generative AI Tools: ChatGPT 🏁 YouTube Video Chapters with Timestamps: 00:00 – Introduction 01:39 – Who is a Data Analyst & Key Roles 06:36 – Real-world Applications 07:21 – Introduction to Data Analytics 07:55 – What is Statistics? 24:24 – Inter-quartile Range & Box-plot 37:49 – Data Cleaning in Excel 43:00 – Excel Functions & Types 55:16 – Sort, Filter & Data Validation 01:09:52 – Pivot Tables & Charts 01:35:57 – SQL: Introduction, Installation & HR Project 02:37:02 – Python NumPy Arrays & Methods 03:13:23 – Pandas: Series, DataFrames & Functions 03:37:39 – Matplotlib & Seaborn Visualization 04:41:30 – Tableau Introduction & Dashboards 05:05:41 – Regression & Use Cases 06:11:35 – Logistic Regression & Case Study 06:53:01 – Naive Bayes & Diabetes Prediction 07:28:03 – Decision Tree & CART 08:14:49 – Bagging & Random Forest 09:07:56 – Hierarchical Clustering 09:54:44 – Generative AI: ChatGPT Basics & Data Analysis Project 11:37:28 – Summary Related Free Learning: Introduction to Data Science - Stay Connected: Follow us for updates, tips, and more learning resources on 💬 Telegram: 📘 Facebook: 🔗 LinkedIn: 📱 WhatsApp: 📝 Blog: #DataScience #DataAnalytics #Excel #SQL #Python #Tableau #MachineLearning #GenerativeAI #ChatGPT #GreatLearning