COHORT ENROLLING — BATCH #17

Data Analytics

Learn to answer business questions with data — SQL, dashboards and metrics design that hold up when a stakeholder pushes back on your numbers.Design and operate the systems that power analytics and ML at scale — distributed processing, cloud data platforms, and infrastructure that doesn't fall over at 3am.Design and operate the systems that power analytics and ML at scale — distributed processing, cloud data platforms, and infrastructure that doesn't fall over at 3am.Design and operate the systems that power analytics and ML at scale — distributed processing, cloud data platforms, and infrastructure that doesn't fall over at 3am.

0Duration
0Live projects
0Learners
0Placement rate
Get a Valuable Placement Course

Fill in your details — we'll call you within 2 hours

Enter your name
Enter a valid email
Enter a valid 10-digit mobile number
Please select a course
Overview Roadmap Curriculum Schedule Instructor Enroll

What you'll walk away with

Six outcomes this course is actually built around — not a syllabus dump.

🐘
SQL fluency

Write joins, window functions and CTEs without looking them up.

📐
Metrics design

Define metrics that actually reflect what the business cares about.

📊
Dashboards that get used

Build dashboards stakeholders check without being told to.

🔎
Root-cause analysis

Go from 'the number moved' to 'here's why' in a structured way.

🗣️
Communicating insights

Present findings so decisions actually get made.

🚀
Ship a capstone

A dashboard and analysis for a real business scenario.

Your learning path

Five stages, one flowing track — click a stage in the curriculum below and watch it light up here.

🐘 SQL Wk 1–2 📐 Metrics Wk 3–4 📊 Dashboards Wk 5–6 🔎 Analysis Wk 7 🚀 Capstone Wk 8

Curriculum

5 modules. Click any module to expand it — and to highlight its stage on the roadmap above.

  • Joins, aggregations and window functions
  • Writing readable CTEs for complex queries
  • Query performance basics
  • Lab: answer 10 business questions in SQL
  • Choosing metrics that reflect real outcomes
  • Avoiding vanity metrics and Goodhart's law traps
  • Building a metrics dictionary
  • Lab: define a KPI framework for a product
  • Dashboard design principles for busy stakeholders
  • Building interactive dashboards in BI tools
  • Setting up alerts for metric anomalies
  • Lab: build a stakeholder-ready dashboard
  • Structured frameworks for diagnosing metric changes
  • Segmenting data to isolate causes
  • Lab: diagnose a simulated metric drop
  • Communicating insights to non-technical stakeholders
  • Structuring a findings presentation
  • Capstone: full analysis + dashboard for a business case

Weekly schedule

Live sessions run evenings IST. Filter by day, or just watch — today's slot highlights itself.

Time (IST)MonTueWedThuFriSat
7:00 – 8:00 PM Live class Live class Live class
8:00 – 9:00 PM Doubt lab Doubt lab
10:00 AM – 1:00 PM Project lab

Your instructor

PS

Priya Sundaram

Analytics Lead, e-commerce & SaaS

Priya has led analytics functions at two D2C companies and specializes in making dashboards people actually trust.

Tools you'll use

🐘 SQL 📊 Looker 📈 Tableau 🐍 Python 📓 Excel ☁️ BigQuery 📐 dbt

Seats are filling for Batch #17

Live cohort, capped at 40 learners, starts in a few days. Talk to an advisor before you commit.

  • 1:1 mentor call included
  • Job-ready capstone project
  • Lifetime access to recordings
Call WhatsApp Book Demo