2026 Data Science & BI Cohort

Data Analytics & BI.
Built with AI.

Master SQL, database queries, Python analytics, cohort analysis, dashboard setups, and AI data cleaning workflows.

Apply Now →
Tools you will learn
Supabase
BigQuery
Mixpanel
Airtable
Notion
Perplexity
SQLPostgreSQL
Live classes & expert mentorship
Real projects & portfolio building
Career support & interview prep
Certificate from Indian School of Skills
★★★★★ 4.8/5from 500+ learners
Trusted by analysts from
Who this is for

Built for future data analysts.

Whether you want to build analytical pipelines, switch to business intelligence, or level up your data decisions, this bootcamp gets you ready.

✧

Aspiring Analysts

  • Starting from scratch
  • Want structure, feedback & a roadmap
  • Need a strong first portfolio

Career Switchers

  • Moving from non-technical backgrounds
  • Want business analyst or BI roles
  • Need SQL & Python data practice
✓

Students & Fresh Graduates

  • Want job-ready data skills
  • Need real company data projects
  • Want placement support ready

Working Professionals

  • Upskilling in metrics and forecasting
  • Want to automate reports with Python
  • Need dashboard metrics framework
No prior coding degree needed
Database-focused learning
Live critiques & mentor feedback
AI-assisted analysis workflow
Programme Curriculum

Week-by-week bootcamp syllabus, easy to scan.

First six weeks shown upfront. Download brochure for complete 16-week roadmap across SQL, Python, BI dashboards, ML models, and business intelligence.

Week01

Data Science Foundations & Business Metrics

Understand how data drives business decisions and map out the analytics career landscape.

  • 1. How data analytics actually works
  • 2. Metric maps and business teardowns
Week02

Excel, Sheets & Business Reports

Master PivotTables, lookup formulas, and business revenue dashboard design.

  • 3. Excel analytics sprint
  • 4. Metrics for business decisions
Week03

SQL Foundations

Learn PostgreSQL select query structures, aggregate functions, and Supabase database setups.

  • 5. SQL basics
  • 6. Answer business questions with SQL
Week04

Advanced SQL & Data Modelling

Master database joins, window functions, CTEs, and user cohort mapping.

  • 7. Joins, CTEs, windows
  • 8. Cohort/retention SQL
Week05

Python for Data Analysis

Learn Python fundamentals, Colab scripts, Pandas, and NumPy array operations.

  • 9. Python basics
  • 10. Pandas lab
Week06

Data Cleaning & EDA

Learn to clean messy CSV datasets and execute exploratory analysis inside notebooks.

  • 11. Clean a messy dataset
  • 12. EDA insight lab

Want complete 16-week curriculum?

Get full programme brochure with weeks 7-16, tools, case lenses, project outputs, portfolio milestones, and admissions details.

Live Class Schedule

Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Self-paced

Self-paced Fundamentals

Learn core concepts at your own pace with curated materials & exercises.

Live Support

Doubt-Clearing Session

8:00 PM - 9:00 PM
Live Class

Live Session

11:00 AM - 1:00 PM
Live Class

Live Session

11:00 AM - 1:00 PM
Self-paced learning (Mon - Fri)
Learn at your own pace
Doubt clearing (Mid-week support)
Live support session
Live sessions (Weekend)
Live with mentors
Tool Stack

Tools are taught by use case.

The goal is not logo collecting. Each tool earns its place by helping an analyst query, clean, model, visualize, or report a database decision.

Supabase logoSupabase
BigQuery logoBigQuery
Mixpanel logoMixpanel
Airtable logoAirtable
Databricks logoDatabricks
Snowflake logoSnowflake
Notion logoNotion
Perplexity logoPerplexity
Postman logoPostman
Qlik logoQlik
PostHog logoPostHog
CAREER SUPPORT THAT STAYS WITH YOU

1 Year Career & Placement Support

We go beyond classrooms. Get expert guidance, build job-ready profiles, and connect with top recruiters—until you land your dream role.

12 Months
Support
2+ Expert
Mock Interviews
Dedicated
Placement Cell
Recruiter Network
Access

Dedicated Placement Cell

Your go-to team for personalized career guidance and end-to-end placement support.

Robust Recruiter Network

Tap into our network of 500+ hiring partners across startups, agencies and product companies.

Profile Building Support

Craft a standout LinkedIn profile and personal brand that gets you noticed.

Resume & Portfolio Reviews

Get expert feedback to showcase your skills and projects the right way.

At least 2 Mock Interviews by Experts

Practice with industry experts and get actionable feedback to improve your performance.

Job Application & Interview Preparation

From application strategies to interview readiness—we've got you covered.

Hiring Partner Introductions

Get shortlisted profiles directly shared with our hiring partners for relevant opportunities.

LinkedIn Optimization

Make your profile recruiter-ready with keyword optimization and compelling content.

How we support you

  • Personalized career roadmap and mentoring
  • Regular opportunities from hiring partners
  • Continuous feedback to help you improve
  • Support until you land your dream role
Our goal is simple:
Your success.
Our commitment.
Why we built this

Most data courses teach Excel formulas. Ours ends with business intelligence you can defend.

Too many data programmes teach syntax before judgment. This program starts with the part AI cannot replace: deciding what to measure, why it matters, and how to translate data into business decisions.

Chirag
Chirag · Founder, ISS

"The market does not need more spreadsheet operators. It needs analysts who can reason across SQL, Python, dashboards, statistics, and AI-powered insights."

Why it matters now

Old analytics workflow vs 2026 AI-enabled workflow

The advantage is not just speed. It is using AI to compress data prep and querying while improving clarity, insight quality, and decision speed.

Old way
Excel-locked spreadsheets, slow manual querying, static reports.
Data prep
Messy CSV rows cleaned manually in Excel, taking hours before analysis can start.
Query builder
Simple SQL queries typed manually with slow joins and frequent syntax errors.
BI reports
Static slides generated weekly, outdated by the time managers make decisions.
AI-enabled analyst
AI handles code generation and cleaning; you focus on business insights.
Data cleaning
Pandas scripts clean, deduplicate, and format datasets in seconds via Colab.
Insight-first
SQL CTE builder
Complex query CTE retention models written and debugged instantly via LLM.
Faster iteration
BI pipelines
Dynamic BI dashboards updated in real time via BigQuery/Supabase pipelines.
Measured impact
AI compresses execution. The program trains the analytical judgment that decides what to measure and why it matters.
What you'll actually be able to do

Build proof, not just dashboards.

Each outcome maps to a portfolio artifact, a review standard, and a real analytics scenario. Click through the capability stack to see what you will make and how it will be judged.

How to read this section
This is the evaluation lens. If an artifact cannot explain the user, the decision, and the business context, it is not portfolio-ready yet.
1

Research like a product designer

Turn ambiguity into a clear problem using interviews, journey maps, insight synthesis, and sharp HMW framing.

In-demand skill
Interview notes
Journey map
Insight summary
High impactHMW
Key deliverables
  • Stakeholder interview guide
  • User journey map
  • Insight synthesis report
  • Problem framing and HMWs
You are evaluated on
  • Research depth and rigor
  • Clarity of insights
  • Problem framing quality
  • Actionable recommendations
Outcome
20%
You can find evidence before proposing a solution.
2

Build AI-native interfaces

Use AI to explore directions faster while keeping information hierarchy, flows, visual craft, and human intent in control.

Production-aware
Prompt to wireframe
Flow logic
Prototype quality
Key deliverables
  • AI-assisted exploration board
  • Clickable high-fidelity flow
  • Prompt log and design rationale
  • Responsive states and edge cases
You are evaluated on
  • Navigation clarity
  • Interaction logic
  • Visual hierarchy
  • Ability to defend tool choices
Outcome
20%
You can go from idea to credible prototype without shallow shortcuts.
3

Design accessible systems

Create components, tokens, UI states, accessibility checks, and design rules that make products coherent beyond one screen.

Team-ready
Design tokens
Component states
Accessibility pass
ContrastFocusLabelsTouch targets
Key deliverables
  • Mini design system
  • Component states
  • WCAG-informed checklist
  • Developer handoff notes
You are evaluated on
  • Consistency and reuse
  • Accessibility reasoning
  • State coverage
  • Clear handoff specs
Outcome
20%
You can design systems that survive real product complexity.
4

Read analytics and experiments

Connect interface decisions to activation, retention, conversion, qualitative evidence, and experiment design.

Business-facing
Funnel diagnosis
Experiment plan
A/BMetric
Recommendation
Key deliverables
  • UX analytics audit
  • Experiment hypothesis
  • Conversion issue map
  • Design recommendation memo
You are evaluated on
  • Metric interpretation
  • Signal vs noise judgment
  • Experiment quality
  • Business clarity
Outcome
20%
You can explain why a design should change and how to measure it.
5

Present a capstone case study

Package your research, prototype, system logic, metrics, and reflection into a portfolio narrative that can survive interview scrutiny.

Portfolio proof
Case story
Prototype demo
Final critique
ProblemEvidenceTradeoffsImpact
Key deliverables
  • Portfolio case study
  • Showcase deck
  • Interview talk track
  • Reflection and next steps
You are evaluated on
  • Story structure
  • Evidence quality
  • Decision-making maturity
  • Presentation confidence
Outcome
20%
You can show the work behind the screen, not just the screen itself.
Credential Inspector

A certificate that has work behind it.

The credential is not the product. It is the marker issued after portfolio review, capstone completion, and showcase readiness.

Capstone-backed issue

Learners earn the credential after presenting the research, prototype, system decisions, accessibility pass, and final case-study narrative.

Verifiable record

The certificate mockup includes credential ID, date of issue, and verification space so the award feels like a formal record, not a decorative badge.

Career-ready context

The credential works best when linked to a portfolio case study, final deck, and interview narrative that explain how the learner thinks.

Credential of Excellence

Post Graduate Certificate

Data Science & Business Intelligence
This is to certify that
Sample Student

has successfully completed the intensive programme, demonstrating proficiency in SQL & Database Analytics, Python for Data Analysis, BI Dashboards, and AI-assisted data workflows.

Chirag Gupta
Founder - Indian School of Skills
Official Seal
01 June 2026
Date of Issue
Verification ID: ISS-DA-2026-XXXX
FAQ

Common questions.

Short answers before you start the fit check.

No. This programme starts from zero. No prior math, stats, or coding is required. You will learn SQL and Python with AI assistance from the very first week.

The difference is live mentorship and real data. This programme connects SQL with Python, BI dashboards, cohort analysis, and AI-assisted data workflows instead of teaching isolated tool tutorials.

Sessions are recorded, but the live critique rhythm is important. This programme is strongest when you can participate regularly, ask questions, and get feedback on your evolving work.

The capstone is a comprehensive product design case study built through a human-led, AI-executed workflow. It includes problem framing, research, flows, interface design, system logic, and a final presentation narrative.

After you complete the fit check and brochure request, the admissions team can share the current cohort logistics, fee details, and next steps based on your profile.

No. What this programme is designed to improve is your readiness: better case studies, stronger product judgment, clearer communication, and more relevant 2026 design workflows.

Yes, because the programme is not built around one tool. It is built around durable design judgment: user understanding, systems thinking, accessibility, experimentation, and the ability to adapt your workflow as tools evolve.

Still have questions? Start with the fit check and brochure. It is the fastest way to see whether this cohort matches your goals.

Ready to start your
UI/UX Design journey?

Next batch starts soon. Don't miss out.

  • Free Career Consultation
  • Syllabus & Projects Overview
  • Batch & Fee Details
  • 100% No-obligation Call
Career Counselor
Message us on WhatsApp
Upcoming Cohort 1st July
Time Commitment 12-14 hours / week
Program Fee ₹49,999 ₹69,999
Limited seats available.
Batch of only 15 people max.
Apply Now →