Data Science Tools Stack: Python, SQL, Notebooks, Git: Data Scientist Guide (2026)

Progress 4 / 5

Introduction to Data Science

Mathematics for Data Science

Statistics & Probability Deep Dive

Python for Data Science

Data Cleaning & Exploratory Data Analysis (EDA)

Supervised Machine Learning

Unsupervised Machine Learning

Feature Engineering & Model Optimization

Deep Learning Fundamentals

Natural Language Processing for Data Scientists

Computer Vision for Data Scientists

Time Series Analysis & Forecasting

Model Deployment & MLOps Basics

Business Case Studies & Real-World Projects

Advanced Data Science & Interview Preparation

Data Science Tools Stack: Python, SQL, Notebooks, Git

Topic 4 of 5

Data Science Tools Stack

My real toolkit became small but powerful.

I suggest learning SQL + pandas early because 70% work is data handling.

Related: Project Ideas