Data Analytics Accelerator
Master Excel, SQL, Power BI, and Python with hands-on projects, peer accountability, and expert advisor support.
Join Next Cohort Batch
Spots are filled on a first-come, first-served basis with 1-on-1 peer accountability.
Program Overview
Unlike traditional self-paced courses with 90%+ dropout rates, this program provides you with:
1. A strict day-by-day curated curriculum utilizing the world's best open masterclasses.
2. A dedicated 1-on-1 Peer Accountability Partner (PAP) from day one.
3. Mandatory weekly milestone deliverables that build your portfolio.
4. Access to Technical Advisors for 1-on-1 'Unstuck' sessions.
5. Live cohort community on WhatsApp for daily discussions.
By the end of this program, you will possess a verified portfolio demonstrating spreadsheet modeling, complex SQL queries, interactive Power BI dashboards, and exploratory data analysis in Python.
How We Guarantee Completion
Strict Daily Roadmap
No guessing what to study. Curated resources are mapped to an exact day-by-day calendar.
Peer Partner (PAP)
Paired 1-on-1 with an accountability peer within your cohort to check in and study together.
1-on-1 "Unstuck" Help
Technical Advisors available for live 1-on-1 calls to help solve technical blockers.
Cohort Community
Live cohort collaboration on WhatsApp/Telegram for discussions and real-time questions.
Curriculum Syllabus
12 Weekly Guided ModulesEvery data career starts here. You'll learn how analysts actually think, then get hands-on with the tool that's still in 81% of data job postings - Excel. By the end of Week 1, you'll have built your first real, formula-driven spreadsheet from scratch.
This is where Excel stops being "just a spreadsheet" and becomes an analytics engine. You'll master PivotTables, Power Query, and DAX, then walk away with an interactive dashboard you can show off.
The week that separates analysts who report numbers from analysts who understand them. You'll build real statistical intuition: distributions, correlation, the Central Limit Theorem, so you can defend your insights in any meeting, not just present a chart.
SQL is the single highest-leverage skill in analytics, the one recruiters filter for first. You'll go from zero to confidently querying real databases, writing SELECTs, JOINs, and GROUP BYs that pull answers out of raw data.
Now you level up to what senior analysts actually write day-to-day: CTEs, window functions, and stored procedures. You'll cap it off with a full data-cleaning and exploratory analysis project, the kind of work that fills out a real portfolio.
Python shows up in 41% of data analytics postings, and this is where you stop being intimidated by it. You'll write real code in Jupyter/Colab and use Pandas to load and explore your first dataset, no prior programming experience needed.
This week, Python becomes your analysis superpower: cleaning messy data, transforming it, and visualizing it with Matplotlib and Seaborn. You'll finish with a full Python capstone project, a genuine portfolio centerpiece.
Great analysis that no one understands doesn't get you hired. You'll learn the design principles behind dashboards that people actually read, then build and publish your own interactive Tableau dashboard to the world.
Power BI leads every other visualization tool in job demand (43% of postings, miles ahead of the rest). You'll master Power Query, data modeling, and DAX, and ship a polished, drill-through-ready dashboard that employers immediately recognize.
Technical skills get you in the door; storytelling gets you promoted. You'll learn how to turn a dashboard into a decision and pick up the A/B testing fundamentals that product and marketing teams rely on every day.
This is the week that makes your portfolio look professional, not just "finished." You'll learn version control, host your work properly on GitHub, and pick up the AI-assisted workflows that 70% of working analysts already use.
Everything comes together. You'll run a full real-world project end-to-end: clean, analyze, visualize, and present, then walk out with a rebuilt resume, a sharp LinkedIn profile, and real interview practice. This is the week you go from "learning data analytics" to "ready to get hired."