Master Data Science from scratch with our comprehensive course. Learn Python, Data Analysis, Visualization, and Machine Learning through hands-on practice. Build real-world projects like House Price Prediction and Customer Churn Prediction. Perfect for aspiring data scientists and analysts.
We divided it into categories

• 01 Month for Python & Data Handling.
• 01 Month for Data Analysis & Visualization.
• 01 Month for Machine Learning & Final Project.

---

Month 1 – Python & Data Handling	1 Month
Week 1: Introduction to Data Science, Lifecycle, Python Basics, Variables, Data Types, I/O, Operators Week 2: Conditional Statements, Loops, Lists, Tuples, Sets, Dictionaries, String Handling Week 3: Functions, Exception Handling, File Handling, Modules, Basic OOP Concepts Week 4: NumPy – Arrays, Dimensions, Indexing, Slicing, Operations, Math & Statistical Functions

Month 2 – Data Analysis & Visualization	1 Month
Week 5: Pandas – DataFrame, Creating DataFrames, Reading CSV/Excel, Filtering, Sorting Week 6: Pandas Data Cleaning – Missing Values, Duplicates, Rename, Replace, GroupBy, Merge/Join Week 7: Matplotlib – Line, Bar, Pie, Histogram, Scatter Plot, Customization Week 8: Seaborn – Statistical Visualization, Heatmap, Boxplot, Countplot, Pairplot + EDA

Month 3 – Machine Learning & Final Project	1 Month
Week 9: Intro to Machine Learning, AI vs ML vs Data Science, Supervised/Unsupervised, Train/Test Split Week 10: Regression – Linear, Multiple, Logistic Regression, MAE, MSE, RMSE, Accuracy Week 11: Classification & Clustering – KNN, Decision Tree, Random Forest, K-Means + Evaluation Week 12: Final Data Science Project – Data Collection, Cleaning, EDA, Model Building, Presentation