A data analyst turns data into decisions: cleaning and analysing data in Excel, SQL and Python, and presenting the results in Power BI or Tableau dashboards.
Open any step to see its lessons, tools and lab, and mark it as learning or done. Your progress is saved in this browser only.
Analyse data quickly in Excel
Monthly sales report built from raw data
Data Analytics with AI · Power BI & Tableau · Data Analytics
Query and analyse data confidently with SQL
Answer 20 business questions from a sales database
Data Analytics with AI · Data Analytics · Forward Deployed Engineer Program
Draw sound conclusions from data
Analyse an A/B test and make a recommendation
Data Analytics with AI · Data Analytics · Data Science Fundamentals
Clean, analyse and visualise data with Python
Exploratory analysis on a real dataset
Data Analytics with AI · Data Analytics · Data Science Fundamentals
Build interactive dashboards decision-makers use
Executive dashboard for a retail business
Data Analytics with AI · Power BI & Tableau · Data Analytics
Visualise data clearly in Tableau
Interactive dashboard published to Tableau Public
Use AI assistants to analyse data faster, safely
AI-assisted insight report, fact-checked
Data Analytics with AI · Power BI & Tableau · Data Analytics
Present your skills confidently to employers
Mock technical + HR interview with feedback
Data Analytics with AI · Data Analytics · Generative AI & RAG Engineering
A practical, step-by-step plan. Skip any step you already know.
3 steps · about 26 hours
3 steps · about 30 hours
1 steps · about 6 hours
1 steps · about 6 hours
Use the hands-on labs in each step, publish your work on GitHub and write a short README for each project. Projects are what interviewers ask about first.
Practise the questions asked for this role, do mock interviews and polish your resume and LinkedIn profile. Practise Data Analyst interview questions →
Start with roles that match your current level, keep learning on the job, and grow towards the senior skills in this path.
Indicative yearly pay, in lakh rupees (LPA). Pay varies with city, company, skills and certifications, so use these as a guide, not a promise.
Rounded ranges from public salary surveys (AmbitionBox, Glassdoor and PayScale India), checked November 2026. Bangalore, Hyderabad and Pune often pay above these ranges, and product companies and global capability centres pay more than service companies.
Data analysts explain what happened and why, mostly with SQL and dashboards. Data scientists build predictive models with statistics and machine learning.
Our advisors will match the path to the right SOTT course for your background.
