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6-month career track to become a Data Analysts AI Expert

Go from dashboards to decisions with AI-assisted analysis, forecasting and storytelling.

₹19,999₹50,00060% OFF

Get 100% fees back as a reward if you complete the 6-month challenge.

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250k+ learners

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AI for Data Analysts programme illustration

AI for Data Analysts

Foundation → Professional → Master · ₹6 – 32 LPA

1:1

Live mentors

3+

Projects

3 levels

Certificate

Mentors live now

1-on-1 live doubt solving with expert mentors

Never stay stuck. Real practitioners join you on call, review your screen and unblock you the same evening.

Daily live doubt support

Mentors online 7 PM – 11 PM, every single day.

7 days / week

Instant doubt clearing

Audio + screen share sessions until it truly clicks.

< 5 min wait

Personalised guidance

Project reviews and 1:1 career mapping with your mentor.

1:1 sessions

Portfolio & CV building

Line-by-line help to make you recruiter-ready.

Recruiter-ready
Overview

Everything in this career track

Earning potential

₹6 – 32 LPA

Typical range for AI for Data Analysts roles after completing all three levels and building a recruiter-ready portfolio.

Certification

Level-wise ACRY certificate

Commitment

6–8 hrs / week, self-paced

Tools you'll master

Hands-on with the exact AI stack hiring teams ask for in AI for Data Analysts interviews.

PythonSQLPower BIscikit-learn

3 levels

Foundation → Master

100%

Project-based learning

Curriculum

Foundation Professional Master

One ladder, three levels. Each level ends with a shippable project, a certificate and a clear next step.

01

Foundation

AI fundamentals mapped to data analysts

Weeks 1-4 · 40 hrs 4 modules · 11 topics

01. How AI actually works

6 hrs
  • LLMs, tokens, context windows and hallucinations explained simply
  • Where AI genuinely helps in data analysts — and where it fails
  • Responsible use, data privacy and review checkpoints

02. Prompt engineering for Data Analysts

10 hrs
  • Role, context, constraint and example-driven prompt frameworks
  • Reusable prompt library for recurring data analysts tasks
  • Chain-of-task prompting and output quality scoring

03. Core toolkit — Python, SQL, Power BI

12 hrs
  • Hands-on setup and real workflows in Python
  • Hands-on setup and real workflows in SQL
  • Hands-on setup and real workflows in Power BI

04. Foundation mini project

12 hrs
  • Build a starter version of the conversational bi assistant
  • Mentor review, rework and Foundation certificate

Level outcome: Confidently use AI copilots inside day-to-day data analysts work.

Most chosen02

Professional

Job-ready data analysts systems

Weeks 5-12 · 90 hrs 4 modules · 12 topics

01. Data, automation and workflow design

20 hrs
  • Map and automate the highest-value data analysts workflows
  • Connect scikit-learn with APIs, Zapier / n8n style automation
  • Quality gates, human-in-the-loop and error handling

02. RAG, agents and custom copilots

24 hrs
  • Vector databases, retrieval and grounding on your own documents
  • Build a data analysts agent that completes multi-step tasks
  • Evaluation: accuracy, cost and latency tracking

03. Applied build — Demand forecast model

26 hrs
  • End-to-end build of the demand forecast model
  • Forecast with ML
  • Weekly mentor code / work reviews

04. Portfolio, resume and interviews

20 hrs
  • Case-study style portfolio with before/after metrics
  • Resume and LinkedIn rewritten for AI Data Analyst roles
  • AI-scored mock interviews with feedback

Level outcome: Automate analysis with LLMs

03

Master

Leadership, strategy and placement

Weeks 13-20 · 80 hrs 4 modules · 11 topics

01. Capstone — Anomaly detection suite

30 hrs
  • Enterprise-scale build of the anomaly detection suite
  • Architecture review, cost model and documentation
  • Live demo day in front of a mentor panel

02. AI strategy and team enablement

18 hrs
  • Build an AI adoption roadmap for a data analysts function
  • Governance, risk, vendor selection and ROI modelling
  • Train and lead a team on new AI workflows

03. Consulting and freelance practice

14 hrs
  • Scoping, proposals and pricing for AI projects
  • Client discovery calls and delivery playbook

04. Placement accelerator

18 hrs
  • Referrals and applications for AI Data Analyst, Analytics Engineer, Insights Lead
  • 1:1 career mapping, salary negotiation and offer review
  • Master certificate and lifetime alumni access

Level outcome: Build decision dashboards

Outcomes

What you walk away with

Skills, job titles and a portfolio — the three things a recruiter actually checks.

3 skills

Learning Outcomes

  • Automate analysis with LLMs
  • Forecast with ML
  • Build decision dashboards
3 roles

Career Opportunities

  • AI Data Analyst
  • Analytics Engineer
  • Insights Lead
3 projects

Portfolio Projects

  • Conversational BI assistant
  • Demand forecast model
  • Anomaly detection suite
Roadmap

Your 6-month AI for Data Analysts roadmap

Six focused months — what you learn, what you build and what you can show at the end of every month.

6-Month Roadmap

AI for Data Analysts — month 1 to month 6

6 phases · 1 month each
  1. Month 101

    AI foundations

    Understand AI and set up your data analysts toolkit

    • Career assessment and personalised roadmap
    • Prompt engineering fundamentals
    • Set up Python and SQL

    Personal prompt library

  2. Month 202

    Applied tools

    Daily data analysts workflows run with AI

    • Automate 3 recurring data analysts tasks
    • Deep dive into Power BI
    • Mini project #1 with mentor review

    Conversational BI assistant

  3. Month 303

    Systems build

    Data, automation and integrations

    • Connect tools with APIs and automation
    • Design quality checks and review loops
    • Weekly live doubt rooms

    Automated workflow with metrics

  4. Month 404

    AI agents & RAG

    Build an intelligent data analysts assistant

    • Vector database and retrieval on your own data
    • Multi-step agent with tool calling
    • Evaluate accuracy, cost and speed

    Demand forecast model

  5. Month 505

    Portfolio & proof

    Turn work into recruiter-ready evidence

    • Case-study portfolio with before/after numbers
    • Resume and LinkedIn rewrite
    • Deploy and document the capstone

    Anomaly detection suite

  6. Month 606

    Interview & launch

    Land AI Data Analyst

    • AI-scored mock interviews and feedback
    • Referrals, applications and outreach plan
    • Salary negotiation and 30-60-90 day job plan

    Certificate + interview pipeline

Included

AI career services bundled free

AI Resume Builder

ATS-ready resumes tailored to each AI role.

AI Portfolio Builder

Turn projects into a recruiter-ready portfolio.

AI LinkedIn Optimizer

Positioning that attracts inbound recruiters.

AI Mock Interview

Realistic interviews with instant scoring.

AI Skill Gap Analysis

Know exactly what to learn next.

AI Career Roadmap

A personalised month-by-month plan.

Ready to start AI for Data Analysts?

Join the 6-month challenge, build real projects and get placement support from day one.

Learner reviews

What learners say about AI for Data Analysts

Verified reviews from learners who completed the AI for Data Analysts track and moved into roles like AI Data Analyst.

Excellent

Rated 4.8 out of 5 based on 12 verified learner reviews for the AI for Data Analysts programme.

Every review collected from enrolled learners after course completion

  • 5-star83%
  • 4-star17%
  • 3-star0%
  • 2-star0%
  • 1-star0%
24 January 2025

Built for people already in the job

Sessions are evening-friendly and every exercise maps to something I could take back to my team on Monday. I automated two of my weekly deliverables with Python before the course even ended.

AR

Ananya Rathi

AI Data Analyst · Hyderabad

Verified
27 March 2025

Placement support is not an afterthought

Resume rewrite, two mock interviews and a referral into a company hiring for Analytics Engineer roles. They kept following up after the cohort ended, which I did not expect.

RD

Rahul Deshpande

Analytics Engineer · Mumbai

Verified
6 January 2026

The cohort makes the difference

Daily standups with people from the same field meant I never got stuck alone. Two of us are still pairing on side projects months after the AI for Data Analysts cohort ended.

FS

Fatima Sheikh

Analysts & BI Teams · Ahmedabad

Verified
11 August 2025

Great value for what you get

Compared to what I paid for a previous bootcamp, the AI for Data Analysts programme delivered more contact hours and far better mentors. I would have liked one more live session on scaling, but the community filled the gap.

DG

Devansh Gupta

AI Data Analyst · Coimbatore

Verified
25 January 2025

Finally a AI for Data Analysts course that ships work

I came in able to talk about AI but not build with it. By week three I had the Conversational BI assistant running end to end and could explain every decision in it. That single project got me shortlisted twice.

AK

Aditi Kulkarni

Analytics Engineer · Bhubaneswar

Verified
6 May 2026

Intense, but the pace is honest

Be ready to put in real hours — the assignments are graded and you get sent back if the Demand forecast model does not work. I lost a weekend to it and learned more than a year of videos. Only wish the recordings were indexed better.

HJ

Harshit Jain

Analysts & BI Teams · Pune

Verified

FAQs

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