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From Zero to Job-Ready Data Analyst in 10 Months, With Generative AI

A 6-month, end-to-end Data Analytics program with Generative AI included. Excel, SQL, Power BI & Python, taught by Industry Experts. Learn on real datasets, build 13+ live projects, and get 6-Month Internship cum Industry Training Certificate. No coding background required.
Easy installment options available.

โญ 4.9 Google Rating
1000+ Students Trained
๐Ÿ’ผ 400+ Companies Network
6-Month Internship cum Industry Training Certificate
Book My Free Demo Class ๐Ÿ“ž Call Now ๐Ÿ’ฌ Chat on WhatsApp
Hemant Patidar

Hemant Patidar

IIT Bombay
9+ Years of Experience in Data Science & AI
6 Months
End-to-End Journey
13+
Live Projects on Real Data
โ‚น4-6 LPA
Target Salary
4 Months
Placement Assistance (Optional)

Companies Have Data. Almost No One Can Analyse It.

That's the gap you fill. Data Analyst is one of the highest-leverage roles of the next decade โ€” sitting between every team that has data and every team that needs answers. The catch? They need analysts who can code in Python, write fluent SQL, build Power BI dashboards, and use AI to move ten times faster. That's exactly what this program builds.

Data Analyst ยท Reporting Analyst ยท BI Analyst โ€” โ‚น30,000โ€“50,000/month entry-level

Why This Isn't Just Another Data Course

Founded by IITians. Taught by Industry Experts.

No Coding Background Required

12th pass, graduates, working professionals โ€” any stream. You start at 'Hello World' in Week 1 and end at full end-to-end EDA pipelines in Python.

Python Is the Wedge

The skill that separates an analyst from a reporting clerk. Pandas, NumPy, Matplotlib, Seaborn, Plotly โ€” taught live by our Python faculty, and recorded so you can re-watch anytime.

AI-Integrated, Not AI-Feared

ChatGPT for debugging, Copilot in Excel & Power BI, Gemini for research โ€” woven into every phase. Ship faster with AI without becoming dependent on it.

A Placement Track, Not a Placement Promise

2 months of intensive interview prep + 2 months of active company support. Your โ‚น10,000 placement fee is fully refundable if we don't place you. We have skin in the game.

Five Phases. 24 Weeks of Core Training. 16 Weeks of Placement Support (Optional)

Every week is designed. Here's the full journey, end to end.

CURRICULUM ยท PHASE 1
FOUNDATION ยท EXCEL ยท MATHS ยท ENGLISH
01
PHASE ONE ยท BUILDING THE FOUNDATION

Excel, seriously.

6 wks 42 days

โ€” WEEK-BY-WEEK

W1
Excel essentials

Data types, formatting, conditional formatting, data validation. Core formulas: SUM, AVERAGE, COUNT, IF, IFERROR. Real business dataset from day one.

W2
Lookups + AI Introduction

VLOOKUP, HLOOKUP, lookup error handling. Live workshop on IPL/sales data. AI Intro session by Abhishek โ€” ChatGPT for learning, writing, productivity.

W3
Advanced lookups + PD-1

INDEX-MATCH, XLOOKUP, nested lookups. PD Session 1: self-introduction, body language, first impressions. Test 1.

W4
Functions deep-dive + Email

SUMIFS, COUNTIFS, dynamic arrays, FILTER. Text functions (LEFT, MID, TRIM, TEXT). Date functions (DATEDIF, YEAR). Financial: PMT for EMI. Email writing session.

W5
PivotTables + Copilot in Excel

PivotTables, PivotCharts, Slicers. Copilot in Excel โ€” AI-assisted formula writing, data cleaning, pivot suggestions. PD-2. LinkedIn setup.

W6
Polish + revision

Advanced conditional formatting. Common-mistakes review. PD-3 (mock self-intro). Test 2 (diagnostic).

+ PRE-RECORDED TRACKS

Maths Part 1. Number system, percentages, ratios, basic algebra, averages, probability basics.

English Part 1 (Beginner). Grammar, sentence construction, comprehension, vocabulary.

MCQ quiz after every video.

โ€” PROJECTS (3)

P1 ยท Zomato data. VLOOKUP + SUMIFS + PivotTable. 10 business questions.

P2 ยท IPL/Sports data. INDEX-MATCH + COUNTIFS + 3-chart dashboard.

P3 ยท Financial/HR. Text + Date + PMT + summary written with ChatGPT.

โ€” AI TOOLS INTRODUCED

ChatGPT for learning & writing

Copilot in Excel

Grammarly for email checking

PHASE 1 OUTCOME
"You can sit at any spreadsheet โ€” financial, HR, sales โ€” and confidently produce the analysis a small business actually needs."
CURRICULUM ยท PHASE 2
DATABASE ยท SQL ยท STATISTICS ยท AI
02
PHASE TWO ยท CORE TECHNICAL SKILLS

SQL, all 18 chapters.

6 wks 42 days

โ€” WEEK-BY-WEEK

W1
Foundations ยท Ch 1โ€“4

Databases, RDBMS. DDL (CREATE, ALTER, DROP). DML (INSERT, UPDATE, DELETE). Datatypes. Constraints (PK, FK, NOT NULL, UNIQUE). Live SQL from day one.

W2
Querying ยท Ch 5โ€“7 + AI

SELECT, WHERE, LIKE, BETWEEN, IN, IS NULL, ORDER BY, LIMIT. AI Session 1: ChatGPT for SQL โ€” prompt right, verify output, debug AI-written queries. Test 1.

W3
Functions + Aggregation ยท Ch 8โ€“11

String / numeric / date functions. CASE WHEN. COALESCE. NULL handling. GROUP BY. HAVING. PD-1: communicating tech work to non-tech stakeholders.

W4
JOINs ยท Ch 12โ€“14 + AI

INNER, LEFT, RIGHT, FULL OUTER, CROSS, SELF JOINS. UNION / UNION ALL. AI Session 2: ChatGPT for query results, insights, NL โ†’ SQL.

W5
Advanced ยท Ch 15โ€“16

Subqueries (correlated + non-correlated). Window Functions: ROW_NUMBER, RANK, LAG, LEAD, SUM/AVG OVER. CTEs. PD-2: GD practice. LinkedIn posts.

W6
Architecture ยท Ch 17โ€“18

Views, Indexes. Normalisation (1NF, 2NF, 3NF). ACID properties. Comprehensive revision. Test 2.

+ PRE-RECORDED TRACKS

Maths Part 2 ยท Basic Stats. Mean, median, mode, variance, std dev, percentiles.

Maths Part 2 ยท Advanced. Probability distributions, correlation, regression basics, hypothesis testing.

English Part 2. Business writing, report writing, data storytelling.

โ€” PROJECTS (3)

P4 ยท Zomato Sales. Multi-table DB. 15+ queries. JOINs, CASE WHEN, GROUP BY.

P5 ยท Netflix Analysis. 15 queries โ€” 5 with ChatGPT, 5 independent. Both documented.

P6 ยท Student-chosen dataset. 15+ queries with full business story.

โ€” AI TOOLS MASTERED

ChatGPT for SQL writing & debug

NL โ†’ SQL prompting workflow

AI for query documentation

PHASE 2 OUTCOME
"You can write production-grade SQL โ€” JOINs, window functions, CTEs โ€” and use AI to ship faster without becoming dependent on it."
CURRICULUM ยท PHASE 3
POWER BI ยท COPILOT ยท GEMINI ยท LOOKER STUDIO
03
PHASE THREE ยท ADVANCED TOOLS + AI

Power BI meets Copilot & Gemini.

4 wks 28 days

โ€” WEEK-BY-WEEK

W1
Data + Power Query

Data import (Excel, CSV, SQL connection). Power Query Editor โ€” cleaning, removing duplicates, type changes, merging, splitting columns, custom columns, append queries. Data model, relationships, cardinality, star schema.

W2
DAX + Copilot in Power BI

Calculated columns vs measures. SUM, CALCULATE, DIVIDE, IF, SWITCH, RELATED. Time intelligence: TOTALYTD, SAMEPERIODLASTYEAR, DATEADD. Copilot in Power BI โ€” DAX from natural language, chart suggestions. Test 1.

W3
Dashboards + ChatGPT + Gemini

All visuals: bar, line, pie, scatter, map, matrix, KPI, waterfall, ribbon. Dashboard design โ€” layout, colour, whitespace. Drill-through, bookmarks, tooltips. ChatGPT for executive analysis + Gemini for market research. Project presentations โ€” 2 min each.

W4
Production-ready

Row-level security basics. Publishing to Power BI Service. Report themes for executive presentation. Interview revision. Test 2. All 9 phase projects must be approved before Phase 4 (Python) begins.

+ TOOLS STACK THIS PHASE

Power BI Desktop โ€” installed Day 1.

Power Query โ€” full transformation suite.

Copilot in Power BI โ€” Microsoft's AI inside the tool.

ChatGPT โ€” executive summary writing.

Gemini โ€” market & industry research.

Looker Studio โ€” shareable dashboards.

โ€” PROJECTS (3)

P7 ยท Sales Dashboard. Data model + 10+ DAX (5 Copilot, 5 manual, both documented). Executive summary via ChatGPT.

P8 ยท Business Analysis. Power Query + Gemini market research + ChatGPT 3-slide presentation.

P9 ยท Industry Project. Student-chosen industry. Advanced DAX + Looker Studio shareable version.

PHASE 3 OUTCOME
"You can build a Power BI dashboard a CEO would actually use โ€” and present it in their language with AI as your co-pilot."
CURRICULUM ยท PHASE 4
PYTHON ยท PANDAS ยท JUPYTER ยท DATA ANALYSIS
04
PHASE FOUR ยท THE PYTHON PHASE ยท DA-ONLY

Where you become a coder.

8 wks 56 days

โ€” WEEK-BY-WEEK

W1
Setup + fundamentals

Anaconda, Jupyter Notebook + Lab. Variables, I/O, literals, type conversion. All operators. Conditionals (if / elif / nested). Live coding from Day 1. Test 1 (60 min).

W2
Loops + data types + AI

range(), for/while, nested, break, continue, for-else. All Python data types. Interview Qs Part 1. ChatGPT to debug Python errors & understand tracebacks.

W3
Data structures

Lists, Tuples, Sets, Dictionaries, Strings โ€” creation, indexing, slicing, methods, comprehensions. Interview Qs Part 2. Combined problem sets. Test 2 (90 min).

W4
Functions + modules + files

Functions, scope, lambda, map/filter, recursion. Modules, pip, built-ins. File handling, JSON, Pickle. Fun exercises: WhatsApp automation, Rock-Paper-Scissors, password generator. ChatGPT for code review.

W5
Exceptions + RegEx + NumPy

try-except-else-finally, custom exceptions. RegEx โ€” metacharacters, sets, match objects. NumPy โ€” arrays, broadcasting, slicing, reshape, statistical ops. Test 3 (90 min). Project 1 (Kite P&L) due.

W6
Pandas Part 1

Series, DataFrames from multiple sources. Reading CSV/Excel, missing values, duplicates, type conversion, merging, GroupBy. Live: Automobile + FMCG analysis. Project 2 (Logistics) due.

W7
Pandas Part 2 + EDA

str accessor, MultiIndex, pivot tables, date/time operations. Full EDA workflow. Pandas built-in visualisation. Live: Vaccination Portal Analysis. Project 3 (TimeTrack360) due.

W8
Visualisation + revision

Matplotlib (all chart types). Seaborn (relational, distribution, categorical). Plotly (Express, interactive, Dash intro). Interview Q&A. Test 4 (90 min). Project 4 (InsightX EDA) due.

+ LIVE AND RECORDED

Phase 4 breaks the IOTA recorded-first model. Abhishek teaches every concept live AND records โ€” live for explanation, depth, and debugging; recordings for re-watching when concepts need a second pass.

Both are expected to be used. Coding doesn't fit a single-pass model.

โ€” PROJECTS (4)

P10 ยท Kite P&L. Real trading data. Clean + compute charges + profit/loss per trade.

P11 ยท Logistics Cost. Real e-commerce data. Merge sets + business rules + over/under-charge audit.

P12 ยท TimeTrack360. Time-series provider availability. Vectorised Pandas + visualisations.

P13 ยท InsightX EDA. End-to-end EDA + Plotly dashboard + management recommendation.

+ SELF-PACED ADVANCED MODULES

For fast learners: OOP (Banking app), Decorators, Iterators, Time/Space Complexity, Git & GitHub, Web Scraping, FastAPI, Pytest, Pydantic, Streamlit Analytics App.

PHASE 4 OUTCOME
"You can take a raw business CSV, clean it, analyse it in Pandas, visualise it in Matplotlib / Seaborn / Plotly โ€” and ship insights that move decisions."
PHASE 5 ยท Placement (Optional) 16 Weeks

From Learner to Hired.

2 months intensive prep (aptitude, mock interviews, coding tests) + 2 months active company support (20+ applications/week, every interview debriefed, every offer reviewed).

Watch. Practice. Master.

Three layers, repeated for every concept. The same method that turns absolute beginners into people who hold their own in a technical interview.

1
W

Watch

Pre-recorded lectures on the IOTA portal. Pause, rewind, watch again. MCQ quiz after each video.
Available 24/7 โ€” forever.

โ†’
2
P

Practice

Daily assignments via portal. Phase projects emailed to faculty.
Reviewed in 5 working days โ€” Approved, Minor Changes, or Redo, with specific feedback.

โ†’
3
M

Master

Live offline / streamed sessions. Faculty solves new problems โ€” never repeats the recording. Tests every 2โ€“3 weeks. Q&A. Real interview-style challenges.

A Portfolio That Says Yes for You.

Recruiters scan for evidence, not promises. You walk out with 13 reviewed projects on real datasets โ€” plus a capstone that ties them all together.

Zomato Sales Analysis

Excel
VLOOKUP SUMIFS PivotTable

IPL Sports Dashboard

Excel
INDEX-MATCH PivotChart

Netflix: AI vs Human

SQL
Window Functions ChatGPT

Zomato Multi-Table SQL

SQL
JOINs CASE WHEN GROUP BY

Sales Dashboard + Copilot

Power BI
DAX Time Intelligence

Kite P&L Analysis

Python
Pandas real share-market data

Logistics Cost Audit

Python
merging business rules

InsightX EDA

Python
end-to-end EDA Plotly dashboard

โ˜… The Capstone โ€” Reviewed by the Academic Head

An end-to-end solution combining all four phases: Python EDA + SQL (window functions + CTEs) + Power BI (8+ DAX, 6 visuals) + AI insights + a 1-page management recommendation. The project that unlocks placement.

The Full Modern Analyst Stack

Excel SQL Power BI Python Pandas NumPy Matplotlib Seaborn Plotly Power Query DAX Looker Studio ChatGPT Copilot Gemini

6-Month Internship cum Industry Training Certificate.

Stop worrying about the "fresher" tag. Every student receives a 6-month Internship cum Industry Training Certificate integrated directly into the course. You won't just be a studentโ€”you'll gain verified real-world experience working on industry datasets, building a resume that recruiters can't ignore before you even start interviewing for full-time roles.

Our Students. Their Results.

Real stories from learners who started exactly where you are now.

Watch more testimonials on Instagram
โญโญโญโญโญ 4.9 / 5 on Google
Rated by hundreds of students across Indore and beyond.
A
Divyesh Gupta
5 weeks ago
โ˜…โ˜…โ˜…โ˜…โ˜…
"Overall, the learning environment is very supportive, the faculty members are highly supportive and explain concepts in a clear and understandable manner. The curriculum is well-designed and aligned with current industry requirements. The institute also provides practical assignments, coding exercises, and topic-wise tests, which significantly help in strengthening understanding and building confidence. Additionally, the inclusion of real-world projects and mock interviews as part of the placement preparation process is highly beneficial for gaining practical exposure and improving job readiness."
P
Vandana Patidar
9 weeks ago
โ˜…โ˜…โ˜…โ˜…โ˜…
"One of the best data analyst training institute in Indore. All mentors are clear all doubts and problems and also help to solve all queries. My experience was very good in IOTA. Also placement team is helping for getting job ."
R
Ankit Maltare
15 weeks ago
โ˜…โ˜…โ˜…โ˜…โ˜…
"Huge respect and heartfelt thanks to all the faculty members for your support. Thereโ€™s still a long way to go, but nothing is impossible. ๐Ÿ™‚"
Read all reviews on Google

A Premium Program for a Premium Career

โœ… Easy Installments Available

Transparent pricing, no hidden fees. Final fee confirmed in your free counselor briefing.

Pay Upfront

Save โ‚น2,000. Single payment, zero follow-ups.

Bring a Friend

Each saves โ‚น1,000. Installments allowed.

Bring 3+ Friends

Each saves โ‚น1,500. Best value for a study squad.

Installment note: Core fee split across 4 easy installments โ€” at admission, and at the start of Phases 2, 3, and 4.

Seats Are Genuinely Limited

We keep classes small so faculty actually knows your name and your project history. The next batch has just Class A: 20 seats and Class B: 12 seats. Book your free demo today to check current availability.

Six Months From Now โ€” Where Will You Be?

Book your free demo class. No payment, no pressure โ€” just an honest conversation about whether Data Analytics is the right fit for you.

Book My Free Demo Class

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