Data Analytics with AI · Pro

Turn data into decisions.

360 hours · 30 weeksSeparately enrollable

Certified by E&ICT Academy, IIT Kanpur (MeitY, Govt. of India)

Enquire — Pro

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Who Pro is for

Where you start.

FOR: students and early-career job seekers who can attend a physical centre full time, and career switchers moving into analytics. No analytics, coding or statistics background is assumed — Basic starts from how businesses use data and Pro teaches Python from the beginning.

What you’ll become

Where you end up.

You will become a data analyst who can take raw data all the way to a decision — and you become employable at every level, so you can start working after Level 1 and keep climbing.

How this track differs

Read this before you pick.

Data Analytics with AI is the analyst track — SQL, dashboards and business insight. Its sibling Data Science with Generative AI is the modelling / machine-learning track, and Generative AI Development is the GenAI / agents track. Complementary, not the same.

Curriculum

What you will learn, module by module.

25 modules · 90 taught sessions. Open any module to see the topics inside it.

Pro covers everything in Advanced, and adds Python for Analysts, Analysis in Python, Automation, Applied ML, Shipping a GenAI Feature, Capstone, Interview Preparation and Demo Day.

  1. The Analyst's Job & ToolchainModule 1 · 2 sessions

    Topics covered

    • Toolchain Setup & Verification — Before Anything Else
    • How Businesses Use Data — and Why Analysts Get Hired
  2. ExcelModule 2 · 7 sessions

    Topics covered

    • Excel Core — Formulas by Hand
    • Lookups, Pivots & Data Cleaning
    • Power Query & Repeatable Data Preparation — with AI-Assisted Transformation
    • Charts, Visual Design & Dashboard Principles
  3. SQLModule 3 · 7 sessions

    Topics covered

    • SQL Fundamentals — Querying by Hand
    • Joins, Subqueries & CTEs
    • Window Functions & Analytical Queries
    • Query Performance & Working with Real Databases
  4. BI & VisualisationModule 4 · 4 sessions

    Topics covered

    • Power BI — Data Model & DAX Foundations
    • Dashboard Build — Power BI & Tableau, with AI-Assisted Reporting
  5. PracticeModule 5 · 4 sessions

    Topics covered

    • Data Quality, Governance & AI Ethics
    • Git & Version Control for Analysts
    • Excel Automation & Reporting Efficiency
  6. AI for AnalystsModule 6 · 2 sessions

    Topics covered

    • AI-Assisted Analytics — Working With and Verifying GenAI
    • AI-Assisted Analytics — Ethics, Confidentiality & the AI-Use Log
  7. DeliveryModule 7 · 2 sessions

    Topics covered

    • Project 1 — Live Business Dashboard
  8. AssessmentModule 8 · 2 sessions

    Topics covered

    • Basic Assessment — Written & Practical
  9. StatisticsModule 9 · 8 sessions

    Topics covered

    • Descriptive Statistics & Distributions
    • Probability, Sampling & Confidence
    • Hypothesis Testing & A/B Analysis
  10. Business AnalyticsModule 10 · 5 sessions

    Topics covered

    • Cohort, Funnel & Retention Analysis
    • Domain Analytics — Marketing, Sales, Finance & Operations
  11. Data Engineering for AnalystsModule 11 · 5 sessions

    Topics covered

    • Advanced SQL for Analytics — with AI Pair-Programming
    • Data Warehousing, Modelling & dbt Concepts
  12. LLM Text AnalyticsModule 12 · 3 sessions

    Topics covered

    • Free Text as Data — LLM Classification & Theming
    • Measuring the Model — Accuracy, Cost & Iteration
    • Feeding AI Output Into the Analysis — and Reporting It Honestly
  13. CommunicationModule 13 · 5 sessions

    Topics covered

    • Data Storytelling & Executive Communication — AI-Assisted Drafting
    • Stakeholder Management & Requirements
  14. DeliveryModule 14 · 2 sessions

    Topics covered

    • Project 2 — Analytics Report & Dashboard Suite
  15. AssessmentModule 15 · 2 sessions

    Topics covered

    • Advanced Assessment — Written & Practical
  16. Python for AnalystsModule 16 · 4 sessionsNew at Pro

    Topics covered

    • Python Foundations — Setup, Types & Control Flow
    • Collections, Functions & Working with Data Structures
  17. Analysis in PythonModule 17 · 5 sessionsNew at Pro

    Topics covered

    • NumPy & Pandas Foundations
    • Cleaning, Reshaping & Joining in Pandas
  18. AutomationModule 18 · 3 sessionsNew at Pro

    Topics covered

    • Automating the Analytics Workflow — with an LLM in the Pipeline
  19. Applied MLModule 19 · 4 sessionsNew at Pro

    Topics covered

    • Machine Learning Foundations & the Leakage Trap
    • Feature Engineering & Preprocessing Pipelines
  20. DeliveryModule 20 · 3 sessions

    Topics covered

    • Deploying Analytics — From Model to AI-Enabled Product
  21. Shipping a GenAI FeatureModule 21 · 3 sessionsNew at Pro

    Topics covered

    • Natural Language to SQL — Architecture & Guardrails
    • Evaluating the Feature — Eval Set, Accuracy, Latency & Cost
    • Productionising — Logging, Cost Caps, Human Review & Honesty
  22. CapstoneModule 22 · 4 sessionsNew at Pro

    Topics covered

    • Capstone — Problem Framing, Scope, Data & AI Audit
    • Capstone — Analysis & Modelling Sprint
  23. Interview PreparationModule 23 · 2 sessionsNew at Pro

    Topics covered

    • Analyst Case Studies & SQL Under Pressure
  24. Demo DayModule 24 · 1 sessionNew at Pro

    Topics covered

    • Demo Day — Analytics Showcase & Job Connect
  25. AssessmentModule 25 · 1 session

    Topics covered

    • Pro Assessment & Portfolio Review

Tools you will actually use

  • Microsoft Excel
  • Power Query
  • PostgreSQL
  • DBeaver
  • Power BI Desktop
  • Power BI Service
  • Git
  • GitHub
  • Institute AI accounts
  • Business case pack
  • Metric framework worksheet
  • Google Sheets

What you walk out with

Not a certificate. A portfolio.

The capstone — deployed live

Capstone — Deployed Analytics Product

End-to-end analytics product: framed problem, audited data, Python analysis, applied ML where justified with leakage-free pipelines, deployed as a live Streamlit application or scheduled scoring job feeding a dashboard, with drift monitoring, a fairness audit, a model card and a recorded walkthrough. Presented at Demo Day.

  • Microsoft Excel
  • Power Query
  • PostgreSQL
  • DBeaver
  • Power BI Desktop
  • Power BI Service
  • Git
  • GitHub
  • Institute AI accounts
  • Business case pack
  • Metric framework worksheet
  • Google Sheets

And the rest of the portfolio

Live Business Dashboard

What it proves

You can take raw data to a published, refreshing dashboard a business uses.

SQL cohort / funnel investigation

What it proves

You can answer real business questions with SQL and sound statistics.

Dashboard suite with correct tests

What it proves

You can measure honestly and communicate decisions to stakeholders.

Deployed analytics product (Python + ML)

What it proves

You can build and ship data products end to end. The sharpest hiring separator.

Jobs it opens

Roles after Pro

  • Data Analyst (mid)
  • Analytics Engineer (junior)
  • Product Analyst
  • BI Developer
  • Insights Analyst

Companies we prepare you for

The course is built backwards from what these employers screen for — the tools, the projects and the interview questions.

  • Tata Consultancy Services
  • Infosys
  • Wipro
  • HCLTech
  • Accenture
  • Cognizant
  • Capgemini
  • Tech Mahindra
  • LTIMindtree
  • IBM
  • Oracle
  • Deloitte

Who came through here

They sat in the same room.

Named people, where they work now, in their own words.

See more placements
Ikigai School of AI provided excellent training that gave me a solid foundation in software engineering. The interactive sessions and practical projects prepared me well for my role at Accenture.
Shrishti

Shrishti

Associate Software Engineer

Accenture

Trained & enabled by Ikigai School of AI

The training from Ikigai School of AI through IIT Kanpur was exceptional. The instructor, Mr. Amit Jaiswal, brought extensive knowledge and expertise that made complex cloud concepts easy to understand. I'm deeply grateful for this excellent guidance.
Vishesh Mishra

Vishesh Mishra

Cloud Engineer

Capgemini

Trained & enabled by Ikigai School of AI

Ikigai School of AI gave me tremendous confidence in my technical skills. I learned new tools, explored real-world applications, and gained practical exposure that directly contributed to my advancement to SDE II level.
Kartik Gaur

Kartik Gaur

Software Development Engineer II

EazyDiner

Trained & enabled by Ikigai School of AI

Ikigai School of AI provided the perfect blend of theory and practical learning. The trainers made even complex topics accessible and understandable. The hands-on projects gave me the confidence to excel at Samsung.
Jay Kishan Katiyar

Jay Kishan Katiyar

Software Engineer

Samsung

Trained & enabled by Ikigai School of AI

The Java Programming course had excellent structure and content. The instructor was genuinely helpful and created an encouraging environment. This solid foundation directly supported my transition into data engineering.
Ankit Sourav

Ankit Sourav

Data Engineer

Cognizant

Trained & enabled by Ikigai School of AI

It was an excellent experience learning Python through Ikigai's comprehensive curriculum. The training helped me understand core concepts deeply and apply them in live projects. TCS recognised this practical knowledge immediately.
Shefali Sachan

Shefali Sachan

Assistant System Engineer

TCS

Trained & enabled by Ikigai School of AI

One of the best training experiences I've had. Ikigai delivered interactive sessions with hands-on experience. This practical approach gave me real-world skills that I applied immediately at HighRadius.
Ateev Anand Saxena

Ateev Anand Saxena

Associate Consultant

HighRadius

Trained & enabled by Ikigai School of AI

I highly recommend Ikigai School of AI. The learning environment was outstanding and the sessions were genuinely valuable. The structured approach and supportive instructors built a strong foundation for my career at Cognizant.
Utkarsh Sinha

Utkarsh Sinha

Programmer Analyst

Cognizant

Trained & enabled by Ikigai School of AI

The sessions were exceptionally well-structured and engaging. I valued the practical activities and projects that allowed me to apply learning immediately. This hands-on approach prepared me well for analytical work at Capgemini.
Priyam Pratyush Sahu

Priyam Pratyush Sahu

Senior Analyst

Capgemini

Trained & enabled by Ikigai School of AI

Careers & support

Supported from day one to hired.

None of this is a guarantee of a job, and we will not pretend otherwise. It is the work we put in alongside yours.

LEAP

Your journey, tracked by AI — progress, attendance and portfolio in one place.

AI interview preparation

Practise against an interviewer that never gets tired, as often as you need.

Industry mentors

Guidance from people who deploy this work, not only teach it.

Industry masterclasses

Sessions from practitioners on what the work actually looks like.

Placement support

Portfolio reviews, interview prep and introductions — we keep working with you.

Internship support

Help finding the first real-world placement that turns a project into experience.

Runs on LEAP

You are not a name on an attendance sheet.

Every Ikigai course runs on LEAP, the platform we built to run our own delivery. It is the reason a coordinator knows how you are doing before you have to tell anyone.

See how LEAP works

Your progress is visible

Attendance, topics covered and the projects you have shipped, in one place you can actually look at.

The pace is yours

Where you are ahead and where you are behind is tracked per topic, not per batch.

Someone notices early

A batch that slips shows up in the week it slips, so your coordinator reaches you before it becomes a gap.

Certification

Certified on completing Pro.

Certified by E&ICT Academy, IIT Kanpur (MeitY, Govt. of India). You earn a certificate at each level you complete — you do not have to finish all three to hold a credential, and it is digitally verifiable and addable to your LinkedIn profile.

Ministry of Electronics and Information TechnologyEICTA Consortium, a joint initiative of MeitY with the IITs, NITs and IIITs
Sample EICTA Consortium certificate, a joint initiative of MeitY and the IITs, NITs and IIITs, signed by the Chief Investigator of the E&ICT Academy, IIT Kanpur

Sample certificate. One is issued for each level you complete.

Fees & enrolment

One level, one fee.

You pay for Pro only — not the whole ladder. Ask us for the current fee for Data Analytics with AI Pro, along with the EMI and scholarship options you qualify for.

Before you enrol

The questions people actually ask.

What are the fees, and is EMI or a loan available?

Fees vary by course, level and centre, and are kept deliberately affordable for an IIT Kanpur co-certified qualification. Yes to both: no-cost and low-cost EMI options are available, and we can put you in touch with education-loan partners if you would rather finance the course that way. Book a free counselling call and we will share the exact fee for your course along with the EMI and loan options you qualify for.

Do you guarantee placement?

No honest school can promise a job, and we will not either. What we do guarantee is the work behind placement: a job-first curriculum, deployed projects you defend before a live panel, plus interview prep, portfolio reviews and introductions from a placement team that keeps working with you until you land a role. Your outcome depends on your effort, but you will never chase it alone.

Do I need a coding background?

For most courses, no. Digital marketing, the data and analytics foundations and the AI excellence course assume no coding at all, and start from the beginning. Some courses do expect prior coding experience — the advanced and pro levels of the development and agentic tracks build on a working knowledge of programming rather than teaching it from scratch. If you are unsure where you sit, a counsellor will help you navigate it, and you can take a short readiness test so the answer is based on what you can actually do rather than a guess.

Is the certification recognised?

Yes. Courses carry a co-certification from the E&ICT Academy, IIT Kanpur, an initiative supported by MeitY, Government of India, alongside the Ikigai School of AI certificate. It is a verifiable credential you can add to your resume and LinkedIn, backed by projects that prove what you can actually build. Each level is certified on its own, so you hold a credential without having to finish all three.

Where are the classes held?

In person, at our learning centres in Lucknow, Kanpur, Ludhiana, Warangal and Indore, with more centres opening. Courses are taught in a lab with an instructor in the room — that is the point of them. Centre availability changes with each intake, so ask your counsellor which centre is nearest you and what is starting there.

What if I am a working professional?

Many of our learners are working full-time. Sessions are scheduled around working hours and each level is separately enrollable, so you can take one level, apply it at work, and come back for the next. Tell your counsellor your working pattern and they will find the batch and centre that fits it.

How is this different from other AI courses?

Most courses are built from a textbook syllabus by people who have never shipped AI. Ours are designed and taught by practitioners who build and deploy production AI inside large public-sector and enterprise organisations, and who bring that work back into the classroom. Every course is built backwards from the job it leads to, so you finish with deployed projects and the exact skills those employers hire for, not just a certificate.

Still deciding? A counsellor will talk you through fees, batches and whether this is the right level to start at.

Book a free call