Guys, We Did It! We just crossed *1 Lakh followers* — and I’m dropping something massive for you all! I’m launching a *Data Science Learning Series* — where I'll cover essential Data Science & Machine Learning concepts from basic to advanced level along with step-by-step explanations, hands-on examples, and quizzes to test your skills after every major topic. *Here’s what we’ll cover in the coming days:* Week 1: Data Science Foundations - What is Data Science? - Where is DS used in real life? - Data Analyst vs Data Scientist vs ML Engineer - Tools used in DS (with icons & examples) - DS Life Cycle (Step-by-step) - Mini Quiz: Week 1 Topics Week 2: Python for Data Science (Basics Only) - Variables, Data Types, Lists, Dicts (with real-world data) - Loops & Conditional Statements - Functions (only basics) - Importing CSV, Viewing Data - Intro to Pandas DataFrame - Mini Quiz: Python Topics Week 3: Data Cleaning & Preparation - Handling Missing Data - Duplicates, Outliers (conceptual + pandas code) - Data Type Conversions - Renaming Columns, Reindexing - Combining Datasets - Mini Quiz: Choose the right method (dropna vs fillna, etc.) Week 4: Data Exploration & Visualization - Descriptive Stats (mean, median, std) - GroupBy, Value_counts - Visualizing with Pandas (plot, bar, hist) - Matplotlib & Seaborn (basic use only) - Correlation & Heatmaps - Mini Quiz: Match chart type with goal Week 5: Feature Engineering + Intro to ML What is Feature Engineering? Encoding (Label, One-Hot), Scaling Train-Test Split, ML Pipeline Supervised vs Unsupervised Linear Regression: Concept Only Mini Quiz: Regression or Classification? Week 6: Model Building & Evaluation - Train a Linear Regression Model - Logistic Regression (basic example) - Model Evaluation (Accuracy, Precision, Recall) - Confusion Matrix (explanation) - Overfitting & Underfitting (concepts) - Mini Quiz: Model Evaluation Scenarios Week 7: Real-World Projects - Project 1: Predict House Prices - Project 2: Classify Emails as Spam - Project 3: Explore Titanic Dataset - How to structure your project - What to upload on GitHub - Mini Quiz: What’s missing in this project? Week 8: Career Boost Week - Resume Tips for DS Roles - Portfolio Tips (GitHub/Notion/PDF) - Best Platforms to Apply (Internship + Job) - 15 Most Common DS Interview Qs - Mock Interview Questions for Practice - Final Recap Quiz *React with ❤️ if you're ready for this new journey*