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🤖 Complete Data Science Curriculum
Data Science:
Zero to Hero
60 comprehensive lessons — from Python fundamentals to deploying production ML models. All free, all practical.
60
Lessons
17
Modules
30+
Hours
500+
Code Examples
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Course Modules
🐍
Module 1: Introduction & Python Basics
6 lessons
📊
Module 2: NumPy & Pandas
5 lessons
📈
Module 3: Visualization
3 lessons
🎲
Module 4: Statistics & Probability
5 lessons
🗄️
Module 5: Data Collection & SQL
2 lessons
🔍
Module 6: EDA Project
2 lessons
🤖
Module 7: Machine Learning Fundamentals
6 lessons
🌳
Module 8: Tree-Based Models
5 lessons
🔮
Module 9: Unsupervised Learning
3 lessons
⚡
Module 10: Specialized ML
5 lessons
🔄
Module 11: End-to-End ML
1 lessons
🧠
Module 12: Deep Learning
3 lessons
👁️
Module 13: Computer Vision
2 lessons
💬
Module 14: NLP
2 lessons
⚙️
Module 15: Data Engineering & MLOps
6 lessons
🚀
Module 16: Deployment Project
1 lessons
🎯
Module 17: Career & Portfolio
3 lessons
All Lessons (61)
Click any lesson to start learning
- •What Is Data Science
- •Python Data Types Structures
- •String Text Processing
- •Functions Lambda Comprehensions
- •File Io Data Import
- •Oop For Data Science
- •Python Numpy Essentials
- •Pandas Dataframes Series
- •Pandas Groupby Merge Pivot
- •Data Cleaning
- •Data Cleaning Essentials
- •Advanced Pandas Patterns
- •Matplotlib Seaborn Visualization
- •Advanced Visualization
- •Data Storytelling
- •Statistics 101
- •Probability Bayes Pdf Cdf Clt
- •Statistical Testing Deep Dive
- •Ab Testing
- •Causal Inference
- •Sql For Data Scientists
- •Web Scraping Api Data
- •Project 1 Eda Real Dataset
- •Capstone Foundation Project
- •Intro To Ml
- •Linear Regression
- •Logistic Regression
- •Model Evaluation
- •Cross Validation
- •Regularization
- •Decision Trees
- •Random Forest
- •Gradient Boosting
- •Hyperparameter Tuning
- •Model Interpretability
- •Kmeans Clustering
- •Pca Dimensionality Reduction
- •Anomaly Detection
- •Imbalanced Data
- •Time Series Basics
- •Arima Prophet
- •Recommendation Systems
- •Graph Data Science
- •Project 2 Ml Pipeline
- •Neural Networks
- •Pytorch Fundamentals
- •Training Loops
- •Cnns Image Data
- •Transfer Learning
- •Nlp Basics
- •Transformers Bert
- •Spark Fundamentals
- •Analytics Engineering Dbt
- •Mlops Experiment Tracking
- •Data Versioning Dvc
- •Cloud Sagemaker Vertex
- •Model Deployment Fastapi
- •Project 3 Deploy Dl Model
- •Ds Case Study Prep
- •Portfolio Github
- •Capstone Project
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