📘 Roadmap 📅 Timeline 🔗 Resources 🚀 Start Learning

Updated for 2026

Become a
Data Scientist

Master Python, Statistics, Machine Learning, Deep Learning, Generative AI, MLOps & Data Engineering through a premium industry-vetted roadmap with official resources.

Official Resources

Phases

12+

Modules

60+

Topics

100%

Free Links

📚 Curriculum

Premium Data Science Syllabus

Click each phase to expand and explore topics with official documentation links.

Variables & Data Types Python Docs
Strings & Formatting Python Docs
Lists & List Comprehensions Python Docs
Tuples & Immutability Python Docs
Dictionaries & Sets Python Docs
Functions & Lambda Python Docs

Classes & Objects Python Docs
Inheritance Python Docs
Polymorphism Python Docs
Encapsulation & Abstraction Python Docs

Mean, Median & Mode SciPy Stats
Variance & Standard Deviation NumPy Stats
Correlation & Covariance NumPy Docs
Skewness & Kurtosis SciPy Docs

Probability Rules & Axioms Khan Academy
Bayes Theorem SciPy Stats
Random Variables NumPy Random
Distributions (Normal, Binomial, Poisson) SciPy Distributions

Arrays & Vectorization NumPy Docs
Broadcasting NumPy Docs
Universal Functions (ufuncs) NumPy Docs

DataFrames & Series Pandas Docs
Data Cleaning & Missing Values Pandas Docs
Merging & Joining Pandas Docs
GroupBy & Aggregation Pandas Docs

Linear Regression Scikit-learn
Logistic Regression Scikit-learn
Decision Trees Scikit-learn
Random Forest Scikit-learn
XGBoost XGBoost Docs

K-Means Clustering Scikit-learn
PCA (Dimensionality Reduction) Scikit-learn
Hierarchical Clustering Scikit-learn

Neural Networks Basics PyTorch
CNN (Convolutional Neural Networks) PyTorch
RNN & LSTM PyTorch Docs

Transformers Architecture Hugging Face
LLMs (Large Language Models) Hugging Face
LangChain Framework LangChain Docs
RAG (Retrieval-Augmented Generation) LangChain RAG
AI Agents LangChain Agents

📅 Journey

Learning Timeline

A realistic 12-month path from beginner to AI-ready data scientist.

Month 1-2

Python Programming & Core Concepts

Month 3

Mathematics & Statistics Foundations

Month 4-5

Data Analysis with NumPy & Pandas

Month 6-8

Machine Learning Algorithms

Month 9-12

Deep Learning & Generative AI

🔗 Resources

Official Documentation Hub

Bookmark these essential references for your learning journey.

Python Official Docs

Complete language reference & tutorials

NumPy Documentation

Scientific computing & array operations

Pandas Documentation

Data manipulation & analysis toolkit

Scikit-learn

Machine Learning library reference

PyTorch Documentation

Deep Learning framework guides

Hugging Face

Transformers & Generative AI hub

Become aData Scientist