Data Science Roadmap — How to Become a Data Scientist from Lucknow (2026)

Data science is the broadest path — covers analysis, ML, visualisation and increasingly Gen AI. If you want maximum career flexibility from Lucknow, start here.

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This roadmap gives you a clear, month-by-month plan to become a data scientist from Lucknow in 2026. Each step includes what to learn, which tools to use, and what project to build — so you know exactly where you stand at every stage.

The Step-by-Step Roadmap

1

Python for Data Science

2–3 months

Python, Pandas, NumPy, data cleaning, EDA — the foundation of every data science role.

Tools: Python 3.11+, VS Code / Jupyter, Pandas, NumPy

💡 Build 2 EDA projects on real datasets (Kaggle, government data portals). A sales analysis and a customer segmentation project are classic for Lucknow interviews.

2

SQL & Databases

1 month

MySQL, joins, window functions, subqueries — most-asked technical skill in Lucknow data roles.

Tools: MySQL / PostgreSQL, DBeaver / MySQL Workbench

💡 Solve 50 SQL problems on LeetCode/HackerRank. Lucknow companies test SQL heavily in first-round interviews.

3

Statistics & Business Thinking

1 month

Distributions, hypothesis testing, correlation, regression basics — what separates a data scientist from a coder.

Tools: Python statsmodels, SciPy, Excel

💡 Pair statistics with Excel (pivot tables, VLOOKUP). Many Lucknow companies still test Excel alongside SQL.

4

Machine Learning

2 months

Regression, classification, clustering, model evaluation, cross-validation — scikit-learn.

Tools: scikit-learn, Matplotlib, Seaborn

💡 Build a churn prediction project and a loan classification project. Show model evaluation metrics, not just accuracy.

5

Power BI / Tableau & Dashboards

1 month

Data modeling, DAX, interactive dashboards — what stakeholders actually use.

Tools: Power BI / Tableau, Excel

💡 Build a marketing dashboard and an executive sales dashboard. Publish on Power BI portfolio.

6

Gen AI & LLMs

1 month

LLM APIs, prompt engineering, RAG basics — required for modern data science roles.

Tools: OpenAI API, LangChain basics, Vector DB intro

💡 Build a simple RAG document QA app. Shows you are current with 2026 market expectations.

7

Portfolio, Resume & Interviews

1 month

GitHub portfolio, project case studies, mock SQL/Python interviews, resume for ATS.

Tools: GitHub, LinkedIn, Resume template

💡 DSWallah provides placement support — resume, LinkedIn, mock interviews, referrals. This step is where most Lucknow students need the most help.

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