Best Business Analytics Training Institute in Delhi for 2026

Business Analytics · Delhi 2026

Best Business Analytics Training Institute in Delhi for 2026

PK Priya Kapoor · Lead Trainer, Business Analytics & BI | Updated 13 November 2026 | 16 min read Free · Training Guide

Best business analytics training institute in Delhi for 2026 — Phase 1: Foundations, Phase 2: Visualisation, Phase 3: Portfolio & Placement, then Placed.

Quick summary — best business analytics training in Delhi for 2026

Uncodemy is among the best business analytics training institutes in Delhi for 2026. Hands-on curriculum, industry mentors, live dashboards, and placement support make it a top choice for anyone who wants to build a career in business analytics.

In this guide you will learn:

Phase 1: Foundations — Excel, SQL, statistics, and business metrics.
Phase 2: Visualisation — Power BI, Tableau, and dashboards.
Phase 3: Portfolio & Placement — case studies, mock interviews, and hiring drives.
Templates & trackers — dashboards and progress trackers.
Placement support — how Uncodemy helps you land a role.

SECTION 01Phase 1: Business Analytics Foundations

The first phase builds your foundation — Excel, SQL, statistics, and business metrics. Here's how the weeks break down:

Week	Focus	Daily Actions	Weekly Goal
Week 1	Excel for Business	Pivot tables, VLOOKUP, dashboards	Build an Excel dashboard
Week 2	SQL Fundamentals	SELECT, JOINs, GROUP BY, subqueries	Solve 40 SQL problems
Week 3	Statistics for Business	Descriptive stats, distributions, hypothesis testing	Analyse a business dataset
Week 4	Business Metrics	KPIs, funnel analysis, cohort analysis	Build a KPI framework

Phase 1 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review the day's learning goals
9:00 AM — Live class / recorded lecture (2 hours)
   - Week 1: Excel for business
   - Week 2: SQL fundamentals
   - Week 3: Statistics for business
   - Week 4: Business metrics & KPIs
12:00 PM — Lunch break
1:00 PM — Hands-on practice (2 hours)
   - Excel dashboards, SQL problems, KPI analysis
3:00 PM — Mentor check-in / doubt session (30 min)
4:00 PM — Assignment work (1 hour)
5:00 PM — Review notes, plan tomorrow
6:00 PM — Break / exercise
8:00 PM — Read business analytics blogs (30 min)
10:00 PM — Wind down

Week 1 Review:
□ Can I build pivot tables and dashboards?
□ Do I know VLOOKUP and INDEX-MATCH?
□ Have I completed the Excel dashboard?

Week 2 Review:
□ Can I write SQL JOINs and GROUP BY?
□ Do I understand subqueries?
□ Have I solved 40 SQL problems?

Week 3 Review:
□ Do I understand descriptive statistics?
□ Can I run a hypothesis test?
□ Have I analysed a business dataset?

Week 4 Review:
□ Do I know the key business KPIs?
□ Can I do funnel and cohort analysis?
□ Have I built a KPI framework?

phase1-foundations.md

Key insight: Phase 1 is about building the foundation. Excel and SQL are non-negotiable for any business analyst — master them before moving on.

SECTION 02Phase 2: Visualisation & Dashboards

The second phase is about building dashboards and communicating insights. Here's how the weeks break down:

Week	Focus	Daily Actions	Weekly Goal
Week 5	Power BI	Data modelling, DAX, charts, publishing	Build a Power BI report
Week 6	Tableau	Calculated fields, parameters, dashboards	Build a Tableau dashboard
Week 7	Storytelling with Data	Chart selection, narrative, executive summaries	Present an analysis
Week 8	End-to-End Dashboard	Ingest → model → visualise → publish	Ship a dashboard

Phase 2 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review the day's learning goals
9:00 AM — Live class / recorded lecture (2 hours)
   - Week 5: Power BI
   - Week 6: Tableau
   - Week 7: Storytelling with data
   - Week 8: End-to-end dashboard
12:00 PM — Lunch break
1:00 PM — Hands-on practice (2 hours)
   - Build reports, dashboards, and stories
3:00 PM — Mentor check-in / doubt session (30 min)
4:00 PM — Assignment work (1 hour)
5:00 PM — Review notes, plan tomorrow
6:00 PM — Break / exercise
8:00 PM — Read BI blogs (30 min)
10:00 PM — Wind down

Week 5 Review:
□ Have I built a Power BI report?
□ Do I understand DAX basics?
□ Can I publish to Power BI Service?

Week 6 Review:
□ Have I built a Tableau dashboard?
□ Do I understand calculated fields?
□ Can I combine multiple data sources?

Week 7 Review:
□ Can I select the right chart for a question?
□ Can I tell a story with data?
□ Have I presented an analysis?

Week 8 Review:
□ Is my end-to-end dashboard complete?
□ Is it documented?
□ Is it on GitHub / portfolio?

phase2-visualisation.md

Key insight: Phase 2 is about communicating. A dashboard that tells a clear story beats a complex one that confuses the audience.

SECTION 03Phase 3: Portfolio & Placement

The third phase is about portfolio, interviews, and landing a job. Here's how the weeks break down:

Week	Focus	Daily Actions	Weekly Goal
Week 9	Portfolio & Resume	Document dashboards, write case studies	Publish 2 projects
Week 10	Interview Prep	SQL, Excel, BI, case studies, behaviour	5 mock interviews
Week 11	Placement Drives	Apply, interview, follow up	Attend 3+ drives
Week 12	Evaluate & Decide	Negotiate offers	Accept a role

Phase 3 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review the day's goals
9:00 AM — Portfolio / interview prep (2 hours)
   - Week 9: Portfolio & case studies
   - Week 10: Mock interviews
   - Week 11: Placement drives
   - Week 12: Evaluate offers
12:00 PM — Lunch break
1:00 PM — Applications & follow-ups (2 hours)
3:00 PM — Mentor check-in / feedback (30 min)
4:00 PM — Interview practice (1 hour)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Break / exercise
8:00 PM — Practice interview questions (30 min)
10:00 PM — Wind down

Week 9 Review:
□ Have I published 2 dashboards?
□ Are they documented with problem, approach, insights?
□ Are they on GitHub / my portfolio?

Week 10 Review:
□ Have I done 5 mock interviews?
□ Can I write SQL under time pressure?
□ Can I explain my dashboards clearly?

Week 11 Review:
□ Have I attended 3+ placement drives?
□ Have I sent follow-ups?
□ Have I practiced more?

Week 12 Review:
□ Have I evaluated offers?
□ Have I negotiated?
□ Have I accepted a role?

phase3-portfolio.md

Key insight: Phase 3 is about execution. Portfolio, mock interviews, and placement drives turn training into a job offer.

SECTION 04Dashboards & learning templates

Use these templates to plan dashboards and track your learning:

Dashboard Brief Template:

Dashboard name: _______________________________
Stakeholder: __________________________________
Business question: ____________________________
Data sources: _________________________________
Tools: ☐ Power BI ☐ Tableau ☐ Excel

Key metrics / KPIs:
1. 
2. 
3. 

Filters / slicers:
1. 
2. 

Insights / story:
1. 
2. 

Deliverables:
☐ Dashboard file
☐ Screenshots / PDF
☐ README with insights

Weekly Learning Tracker:

Week: _____
Topics covered:
1. 
2. 
3. 

Hours spent: _____
Hands-on practice: _____
Assignments completed: _____

What I learned:
1. 
2. 

What needs more practice:
1. 
2. 

Next week's focus:
_______________________________

Interview Prep Tracker:

Company: _______________________________
Role: __________________________________
Interview date: _________________________

Topics to revise:
☐ Excel & advanced functions
☐ SQL (JOINs, window functions)
☐ Power BI / Tableau
☐ Business metrics
☐ Case studies

Mock interview score: ____ / 10
Feedback:
_______________________________

Follow-up sent: ☐ Yes ☐ No

learning-templates.md

SECTION 05Placement support & accountability

Here's how Uncodemy keeps you accountable and helps you land a business analytics role:

Mentor check-ins — weekly 1:1 sessions with your mentor to review progress.
Live dashboard projects — work with real business datasets and BI tools.
Mock interviews — practice with hiring managers from partner companies.
Placement drives — attend exclusive drives with hiring partners.
Lifetime access — revisit recordings, templates, and resources anytime.

Pro tip: Most students land their first business analytics role within 90–120 days of starting the programme. Consistency and hands-on dashboards matter more than prior experience.

SECTION 06Interview Q&A — business analytics roles

Q1What if I have no analytics background?

No problem. The programme starts from fundamentals — Excel, SQL, and statistics — and builds up from there. Many of our students come from non-analytics backgrounds.

Q2How much time should I commit?

2-3 hours daily is ideal. Live classes, assignments, and mentor sessions are scheduled to fit around work and college.

Q3Do I need to know Python for business analytics?

Not for most business analyst roles. Excel, SQL, and a BI tool are the core requirements. Python is a bonus that we cover in elective modules if you want to extend into data analytics.

Q4Will I get placement support?

Yes. Resume rebuilds, mock interviews with hiring managers, and exclusive placement drives are all included.

Q5Can I switch to business analytics from another field?

Absolutely. We've helped engineers, commerce graduates, and freshers transition into business analytics roles.

SECTION 07Test yourself — business analytics quiz

Five questions. No sign-up.

0 / 5

Pick an answer to see why it is right or wrong.

SECTION 08Frequently asked questions

What is the duration of the programme?

12 weeks, with flexible weekday and weekend batches. You can also extend your timeline if you need more time.

Do I need prior analytics experience?

No. The programme starts from fundamentals and builds up from there — no prior experience required.

Will I get a certificate?

Yes, an industry-recognised certificate on completion of the programme.

Which tools and platforms will I learn?

Excel, SQL (PostgreSQL / MySQL), Power BI, Tableau, and optionally Python (Pandas).

Do you provide placement support?

Yes — resume rebuilds, mock interviews, and placement drives with hiring partners are all included.

What I would do in the first 30 daysLayoff · 14 min Why sending 500 resumes won't workJob Search · 14 min Rebuild your resume for the AI job marketResume · 15 min Which skills to learn before applyingSkills · 14 min 90-day career recovery roadmapRecovery · 16 min How AI can help you prepare for interviewsAI · 11 min

Classroom & online · Delhi

Start your business analytics career with Uncodemy

Our Business Analytics Training Course is built to get you job-ready — with live dashboards, real business datasets, and placement support.

₹18,500 · full programme ~~₹28,000~~

Explore the course Download the syllabus

Complete business analytics roadmap
Excel, SQL, Power BI & Tableau
Live dashboards & projects
Mock interviews & placement support

Best Business Analytics Training Institute in Delhi for 2026