Data Science Roadmap
A highly advanced, industry-ready roadmap that blends programming, analytics, ML engineering, and real-world data workflows.
1. Core Foundations
Python Essentials
Syntax, OOP, virtual environments, modules, performance basics.
SQL Mastery
Advanced joins, CTEs, indexing, query optimization.
2. Data Analytics Stack
NumPy
Linear algebra, vectorization, broadcasting, performance.
Pandas
ETL, grouping, merging, optimization, time-series.
Visualization
Matplotlib, Plotly, Seaborn, dashboards basics.
3. Machine Learning & Deep Learning
Scikit-Learn
Training pipelines, CV, metrics, feature engineering.
TensorFlow
Neural networks, CNN, RNN, deployment, TPU basics.
PyTorch
Gradients, custom models, training loops, transformers.
4. Databases & Big Data
MySQL / PostgreSQL
Relational data modeling, indexing, analytical queries.
MongoDB
NoSQL, document design, aggregations, performance tuning.
Big Data Concepts
Hadoop basics, Spark, distributed processing, cloud workflows.