Data Science Mastery Path¶

Mastery Path

BOOTCAMP

VINOD BHANUJA

A structured, module-wise Data Science training program that takes you from your first pandas.read_csv() to production-grade, master-level data science practice — with runnable Python code in every module and a hands-on project at the end of each level. The track is a broad, general-purpose foundation: statistics, exploratory data analysis, data visualization, experimentation, and communicating findings to a non-technical audience — the day-to-day workflow of a working data scientist.

How the program is organized¶

Level	Focus	Modules
Level 1 · Entry	Python/pandas, cleaning, EDA, visualization, statistics fundamentals, correlation & regression	9 topics + 1 project
Level 2 · Intermediate	Advanced pandas, hypothesis testing, plotly, feature engineering, A/B testing, SQL	9 topics + 1 project
Level 3 · Advanced	Causal inference, forecasting, big data, dashboards, reproducible research, ethics	9 topics + 1 project
Level 4 · Master	Leading teams, DS platforms, MLOps, experimentation at scale, strategy	9 topics + 1 capstone

How to use this site¶

Work through each level in order — later modules assume earlier ones.
Every topic page has runnable code snippets — all you need is pip install numpy pandas matplotlib seaborn scipy statsmodels. Examples use small built-in or synthetic datasets, so there is nothing to download.
Each level ends with a project that combines everything learned in that level.
Use the search bar (top of the page) to jump straight to a topic.

Start here → Level 1 · Entry

🎥 Prefer video? Watch the Mastery Path video series on YouTube — Shorts and full walkthroughs of these lessons.