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For Students, Freshers & Career Switchers · No Coding Background Needed

Turn raw data into decisions in eight months.

8-Month Program 6 Months Learning + 2 Months Industry Internship Industry Internship Included

A focused program for anyone who wants to specialise in data analytics only. Learn advanced Excel, SQL, Power BI and Tableau, build dashboards and tell the story behind the numbers, use GenAI to speed up analysis — then apply it all in a 2-month industry internship on real client work.

6 Months Learning + 2 Months Internship = 8 Months
₹5–12 LPACareer Potential
8 Months6 Learning + 2 Internship
6 ModulesHands-on Curriculum
Program Overview

The data analytics track — on its own.

The Data Analytics Program is the data analytics track of our flagship Business Analytics + Data Analytics with Generative AI program, taught as a focused 8-month course: 6 months of learning and a 2-month industry internship.

You learn the stack analytics teams hire for: advanced Excel, SQL for validating and interrogating data, Power BI data modelling and DAX, and Tableau for interactive dashboards and storytelling. Every tool is taught the way it's used on the job — anchored to a real business scenario and ending in a deliverable.

Generative AI runs through the program. You'll use GenAI tooling to explore datasets, draft SQL and DAX, and summarise findings — with the verification discipline to catch where it's wrong.

The final 2 months are an industry internship on real client projects, under industry mentorship. Our placement team runs resume building, portfolio development, mock interviews and interview preparation alongside it. Want requirements, BRDs and Agile delivery as well? Look at the Business Analysis Program or the full 12-month program.

Duration

6 Months Learning + 2 Months Internship = 8 Months

One continuous, focused track. You don't finish a course and then go hunting for experience — the industry internship is built into the program.

Phase 01 · Learning
6 Months

Hands-on, industry-oriented curriculum

Live sessions covering advanced Excel, SQL, Power BI, Tableau and GenAI for analysts — each module closing with a graded, portfolio-ready deliverable.

  • Live instructor-led sessions + recorded revision access
  • Weekly hands-on labs, assignments and industry case studies
  • Live projects and a capstone project
  • AI-powered learning and a GenAI powered curriculum throughout
  • Portfolio development with mentor reviews
Phase 02 · Internship
2 Months

Industry internship, real client projects

You join a delivery team on live client work — cleaning and validating data, building models and shipping dashboards — with weekly mentor reviews and stakeholder demos.

  • Real client projects under industry mentorship
  • Sprint ceremonies and stakeholder reviews
  • Internship Certificate + Project Experience Letter
  • Corporate training standards and delivery practices
= 8-Month Program Professional Certification · Internship Included · Placement Assistance
Skills Covered

Everything you'll actually use.

Three connected skill tracks: spreadsheets and SQL, business intelligence and visualisation, and the GenAI layer that now sits across both.

01 / Skill Track

Excel & SQL

  • Advanced Excel: pivots, lookups, what-if analysis
  • Excel dashboards and automation basics
  • SQL: joins, subqueries, CTEs, window functions
  • Data cleaning, validation and audit queries
  • Aggregation, reconciliation and reporting queries
  • Descriptive statistics for business decisions
02 / Skill Track

BI & Visualisation

  • Power Query and data transformation
  • Power BI: data modelling, relationships, DAX
  • Tableau: interactive dashboards and storytelling
  • KPI design and executive reporting
  • Publishing, row-level security and refresh
  • Data storytelling for non-technical stakeholders
03 / Skill Track

Generative AI & Future-Ready Skills

  • Prompt engineering for analysts
  • GenAI-driven data exploration and hypothesis testing
  • Copilot-assisted SQL and DAX authoring
  • AI-assisted summaries of findings
  • AI quality control: verification and hallucination checks
  • Responsible AI use in enterprise environments
Complete Curriculum

The full module breakdown.

These are the data analytics modules of our Business Analytics + Data Analytics with GenAI program. Each module is anchored to a real business scenario and ends in a deliverable.

MODULE 01

Advanced Excel for Analysis

The spreadsheet skills hiring managers still test for — taught at the level real reporting work demands.

  • Pivot tables, slicers and grouped reporting
  • XLOOKUP, INDEX-MATCH and dynamic arrays
  • What-if, scenario and sensitivity analysis
  • Excel dashboards and automation basics
MODULE 02

SQL for Business & Data Analysts

SQL as an analyst isn't about being a developer — it's about answering your own questions without waiting on a queue.

  • SELECT, filtering, JOINs and set operations
  • GROUP BY, aggregation and HAVING
  • Subqueries, CTEs and window functions
  • Data validation, reconciliation and audit queries
MODULE 03

Power BI: Modelling, DAX & Dashboards

Build dashboards business teams actually open on a Monday morning.

  • Power Query and data transformation
  • Star schema modelling and relationships
  • DAX measures, time intelligence and KPIs
  • Publishing, row-level security and refresh
MODULE 04

Tableau & Data Storytelling

Same data, better decisions — visual design that leads a reader to the point.

  • Tableau Desktop fundamentals
  • Calculated fields, parameters and LODs
  • Dashboard actions and interactivity
  • Narrative structure for executive audiences
MODULE 05

Generative AI for Analysts

The skill that now separates a competitive analyst from a replaceable one.

  • Prompt and context engineering for analysts
  • Copilot-assisted SQL and DAX authoring
  • GenAI for data exploration and summarisation
  • Verification, bias checks and responsible use
MODULE 06

Capstone Project + Industry Internship

Everything applied end to end on a real client engagement, under industry mentor supervision.

  • End-to-end analysis on a live client dataset
  • Dashboard and data model build
  • Stakeholder demo and review cycles
  • Portfolio packaging and walkthrough practice
Learning Outcomes

What you can do by month eight.

Concrete, demonstrable capabilities built through practical learning — the kind you can show in a portfolio and defend in an interview.

Answer data questions yourself

Write production-quality SQL to validate, reconcile and interrogate business data — no waiting on an engineering ticket.

Build dashboards leaders use

Model data properly in Power BI and Tableau, write DAX that holds up, and design reporting that drives a decision rather than decorating a deck.

Tell the story behind the numbers

Structure an analysis for a non-technical audience and lead the reader to the point — and the decision.

Keep data trustworthy

Clean, validate and reconcile data, and define the quality checks that keep a report honest.

Work AI-augmented

Use GenAI to speed up exploration, SQL and DAX — with the verification discipline to catch where it's wrong.

Interview with evidence

Walk a hiring manager through a real client project you delivered, with the dashboards, the trade-offs and the outcome.

Internship Details

2 months inside a real delivery team.

The final 2 months of the program are an industry internship on live client work — the difference between a certificate and a career.

Industry Internship Included Real Client Projects Industry Mentorship

Real Client Projects

You're assigned to live briefs from Ergebins Technologies' delivery pipeline and partner organisations — genuine scope, genuine deadlines, genuine stakeholders.

Industry Mentorship

A working practitioner reviews your work weekly: your queries, your data models, your dashboards and your demo delivery.

Certificate & Experience Letter

On completion you receive an Internship Certificate and a Project Experience Letter — verifiable experience for your résumé and background checks.

Industry Projects

Live projects and a capstone project.

Portfolio development is built into the program. You leave with work you can walk a hiring manager through, line by line.

01

Retail Revenue & Margin Dashboard

Model a multi-store retail dataset, build the semantic layer, and ship an executive Power BI dashboard tracking revenue, margin leakage and category performance.

Power BI DAX SQL
02

E-Commerce Funnel & Cohort Analysis

Interrogate transactional data with SQL to explain a drop in repeat purchase, then present the cohort story to a simulated leadership panel.

SQL Cohort Analysis Storytelling
03

Healthcare Operations KPI Suite

Design the KPI framework for a clinic network, build the Tableau reporting layer, and define the data quality checks that keep it trustworthy.

Tableau KPI Design Data Quality
Eligibility

Who this program is built for.

The program assumes no coding background. It does assume you're prepared to put in regular hours for 6 months.

Who should enrol

  • Students and final-year candidates who want a data analyst role
  • Freshers from B.Com, BBA, B.Sc, B.Tech or any other stream
  • Professionals in operations, finance, sales or support who work with reports
  • Excel users who want to move up to SQL and BI tools
  • Anyone who wants data analytics without the business analysis track

Requirements

  • Graduate or final-year student in any stream — no specific degree required
  • No prior coding or programming background needed
  • Comfortable with basic computer use and spreadsheets
  • A laptop with a stable internet connection
  • Roughly 10–12 hours per week for classes, labs and assignments
Certifications

Professional certification, earned not bought.

Certificates are awarded on assessed performance — completed modules, reviewed projects and a finished industry internship.

Professional Certification

Awarded on assessed completion of all six modules, graded assignments and your capstone project — issued by DICA, the education brand of Ergebins Technologies Private Limited.

Internship Certificate

Issued on completion of the 2-month industry internship, confirming the client engagement, your role and the duration of the placement.

Project Experience Letter

A verifiable letter detailing the live client projects you delivered, the tools you used and the outcomes — the document recruiters actually check.

Career Opportunities

Where this program takes you.

Common roles for this skill set. Final compensation depends on background, performance and location.

Data Analyst

Own the reporting layer — clean, model and visualise data, and answer the questions leadership hasn't thought to ask yet.

₹5 – 12 LPA

Business Intelligence Analyst

Build and maintain the semantic models and dashboards a whole organisation runs its decisions on.

₹7 – 16 LPA

Product Analyst

Work alongside product managers analysing user behaviour, funnel data and feature performance to inform roadmap calls.

₹7 – 15 LPA

Business Operations Analyst

Streamline internal operations, build reporting frameworks, and find optimisation opportunities across business units.

₹5 – 12 LPA
Placement Assistance

Placement support, step by step.

Placement preparation starts in month five and runs through your internship.

STEP 01

Resume Building & Portfolio Development

One-on-one resume rewrites tuned to the roles you're targeting, plus a reviewed portfolio of your live projects and capstone work.

STEP 02

Mock Interviews & Interview Preparation

HR, aptitude and technical mock interviews with recorded feedback. You rehearse the real rounds before you sit in them.

STEP 03

Soft Skills Training

Business communication, stakeholder storytelling, group discussions and presentation practice — taught to corporate training standards.

STEP 04

Referrals, Hiring Drives & Career Support

Profile shortlisting, referrals into our hiring partner network, interview scheduling and career support.

Hiring Partners

Companies in our hiring network.

Placement preparation, mock interviews, and referrals into a recruiter network that hires for analytics, data science, and AI roles.

Company names and marks belong to their respective owners.

What exactly is the 8-month structure?

The program is 6 months of learning + 2 months of industry internship = 8 months in total. Months 1–6 cover live instructor-led classes, hands-on labs, industry case studies, live projects and your capstone project. Months 7–8 are an industry internship on real client projects under industry mentorship.

How is this different from Business Analytics + Data Analytics with GenAI?

This program is the data analytics track of that 12-month program on its own — Excel, SQL, Power BI, Tableau and GenAI for analysts. It does not cover requirement gathering, BRDs, process mapping or Agile delivery. If you want those too, choose the Business Analysis Program or the full 12-month program.

Do I need a coding background?

No. SQL and DAX are taught from zero and used as analysis tools, not as software engineering. Every module starts from fundamentals.

Is the internship included in the fee?

Yes. The 2-month industry internship is included at no additional cost, and you receive an Internship Certificate and Project Experience Letter on completion.

What certifications will I receive?

A Professional Certification for the program, an Internship Certificate for the industry internship, and a Project Experience Letter covering your live client work — all issued by DICA, the education brand of Ergebins Technologies Private Limited.

Are EMI or instalment options available?

Yes. We accept UPI, credit and debit cards, Visa and Mastercard, and offer No Cost EMI on selected cards and partner lenders, subject to eligibility and approval.

What if I miss a live session?

Every session is recorded and available for revision, and you get access to doubt-solving sessions and mentor office hours to catch up.

Apply Now

Reserve your seat in the next batch.

Share your details and a career advisor will call you back within one working day with the full curriculum, batch dates, fee structure and No Cost EMI options.

8-Month Program Internship Included
  • 6 months of hands-on learning + 2 months of industry internship
  • Live projects, a capstone project and portfolio development
  • Professional certification and internship certificate
  • Resume building, mock interviews and placement preparation
  • Placement assistance with referrals into our hiring network

Enquire About This Program

Data Analytics · 8-Month Program

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6 Months Learning + 2 Months Internship Placement Assistance Professional Certification

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