Data Analyst: Zero to Job takes you from no experience to job-ready. You work through 27 modules on one realistic Indian business: Basketwala, an online grocery company, whose data is deliberately messy, the way real data is.
You learn Excel, SQL, Python, statistics and Power BI the way analysts use them at work. Then you turn that into a portfolio, interview answers and a job search plan for India.
Every one of the 326 code examples was run before it went into the course, and every output shown comes from a real run. You generate the same dataset yourself, so if your answer differs from the course's, the mistake is yours to find, never the course's.
For freshers, career switchers, and anyone in MIS, BPO, commerce or engineering roles.
Course outcomes
- Clean messy real-world data in Excel, SQL and Python: duplicates, missing values, mixed date formats, inconsistent city names, refunds.
- Write SQL from a first SELECT through joins, CTEs and window functions, and build cohort and funnel analyses.
- Use Excel the way analysts do: lookups (with fallbacks for older Excel), pivot tables, Power Query, and lakh and crore formatting.
- Analyse and chart data in Python with pandas.
- Use statistics with confidence: spot averages that mislead, read confidence intervals, use regression, run A/B tests, and know when a number proves nothing.
- Build a Power BI data model, write DAX measures and design a dashboard a manager can use.
- Turn a vague business question into a number someone trusts, and explain it to a stakeholder.
- Complete capstone projects and a mock take-home assignment that form your portfolio.
- Prepare for SQL tests, case rounds and stakeholder questions; write a resume and LinkedIn profile that show real work; run a job search and read an offer letter in India.
- Start your first analyst job with a plan for your first 90 days.