Data Analytics for Freshers
Land your first analytics role — with a portfolio employers respect.
A 10-week, fresher-friendly track that takes you from Excel to a job-ready analytics portfolio. You learn SQL for querying, Python for wrangling, Power BI and Tableau for dashboards, and the storytelling that gets a CFO to act on your numbers. Four real-world projects (sales, marketing, operations, finance) give you the case studies you need to crack your first analyst interview.
Who this is for
- Recent graduates (any stream) looking for their first analytics role.
- Working professionals in ops, sales, or MIS who want to formalise their analytics skills.
- Career returners re-entering IT — this track is gentle on prerequisites and strong on outcomes.
Prerequisites
- Comfort with Excel — pivot tables, basic formulas (we build from here).
- High-school level maths (averages, percentages, simple probability).
- A laptop with 8GB+ RAM. We help you install everything else.
Primary career path
Data Analyst · BI Developer · MIS Analyst
By the end of the program you can ingest messy data, clean it in Python/SQL, model it in a star schema, build a Power BI dashboard, and present findings to a non-technical stakeholder.
What you'll walk away with
Query production-style data with SQL — joins, window functions, CTEs.
Wrangle data in pandas — clean, reshape, merge, and aggregate.
Build a star-schema model in Power BI with DAX measures and time intelligence.
Design dashboards in both Power BI and Tableau that pass a stakeholder review.
Tell the story behind the numbers — KPI framing, narrative, and presentation.
The tools you'll master
| Domain | Tools |
|---|---|
| Spreadsheets | ExcelGoogle Sheets |
| Databases & SQL | PostgreSQLMySQLBigQuery (intro) |
| Python Data Stack | pandasNumPyJupyterVS Code |
| BI Tools | Power BI Desktop & ServicePower QueryDAX |
| Visualisation | Tableau PublicMatplotlibSeaborn |
| Stats & Reporting | Descriptive statsHypothesis testing (intro)Storytelling |
| Workflow | Git basicsMarkdownNotion / Confluence for docs |
Real things you'll ship
Sales Performance Dashboard (Power BI)
A live Power BI dashboard over a 5-year sales dataset — star-schema model, time-intelligence measures, RLS, mobile layout, and a one-page stakeholder narrative.
Operations Analytics Notebook (Python + SQL)
An end-to-end Python notebook that pulls data from PostgreSQL, cleans and aggregates it, and exports both a Tableau dashboard and a 2-page executive summary.
What you'll earn
Greenroots Data Analytics Certificate
Awarded on completion of all 4 projects and a final stakeholder review panel.
Microsoft PL-300 (Power BI Data Analyst Associate) — recommended
Course covers 70%+ of PL-300 objectives; we include a 2-week PL-300 prep sprint.
5-Phase Curriculum · 10 weeks
The full curriculum — every phase, every module, every project, every reading — is in the downloadable PDF. We keep it out of the web page so it stays in sync with the live cohorts.
Questions, answered
Ready to start the Data Analytics for Freshers?
Download the full curriculum, then book a free career audit. We'll tell you if this is the right track for you.