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Certification in

Applied AI & Data Intelligence
- Kannada (Campus Edition)

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10 weeks roadmap

8 hrs/week

Certified by Vishlesan i-Hub IIT Patna

Industry validated

Online

10 weeks roadmap

8 hrs/week

Certified by Vishlesan i-Hub IIT Patna

Industry validated

Online

Career Potential

The #1 fastest-growing career field in 2026

Gain hands-on skills to work with real business data - from SQL queries and Excel reporting to Python-powered analysis, dashboards, and AI-assisted workflows.

50,000+

AI/ML Job Openings in India

Source: Bain & Company 2026

₹4 - 10 LPA

Salary Range by Fresher

Source: Glassdoor & industry salary reports (2025–2026)

25–35%

India AI Market CAGR

Source: Fortune Business Insights - India Artificial Intelligence Market Report (2025–2032)

industries with demand in this field

IT & SaaS

Fintech & BFSI

E-commerce & Retail

Healthcare

Manufacturing

Consulting

EdTech

Organisations hiring in this field

career outcomes

The Analyst Curriculum, Rebuilt for Today

Build data analysis, SQL, Python, and dashboarding skills using real-world tools. Learn to use AI to speed up analyst workflows, from cleaning data and finding insights to reporting and visualization.

Week Wise Curriculum

Module 1

Data & SQL Foundations

- Learn Python from the basics - variables, loops and functions
- Write SQL queries that filter, sort and group millions of rows
- Combine data across multiple tables to answer real business questions
- Rank, bucket and date-filter your data into business reports
- Store, sort and search data with Python lists and dictionaries

Module 2

Excel & Spreadsheets

- Master the Excel formulas and Lookups every analyst role expects
- Consolidate data scattered across sheets into one reliable view
- Compress thousands of rows into a decision-ready Pivot Table summary
- Clean inconsistent values and flag the rows that matter
- Build live Excel dashboards with charts and KPIs

Module 3

Statistics & Visualisation

- Master the core statistics of analysis - averages, spread and probability
- Use distributions to see the pattern hiding in your data
- Build Tableau dashboards with charts, filters and story points
- Turn a dashboard into a story that leads to a clear recommendation
- Define a KPI with a clear metric, target and timeframe

Module 4

AI-Assisted Analytics

- Run your entire analysis workflow alongside ChatGPT or Claude
- Direct AI to write and debug your SQL queries and Excel formulas
- Write prompts that return tables, summaries and action lists
- Catch AI hallucinations and sanity-check every answer
- Draft your reports and insight summaries with AI in minutes

Tools Acquired

HEAR FROM INDUSTRY EXPERT

Sharon Suresh

Analyst | Google

"Gain hands-on skills to work with real business data - from SQL queries and spreadsheet reporting to Python-powered analysis, Tableau dashboards, and AI-assisted workflows."

Roles Unlocked

MIS Executive MIS Analyst Reporting Analyst Operations Analyst Business Operations Intern Data Operations Intern Analytics Intern Junior Data Analyst BI Intern / Dashboarding Intern

Projects

Industry Project 1

Zomato Restaurant Performance Dashboard: Analyze Zomato restaurant data (ratings, cuisine types, price ranges, locations) across Indian cities. Build a Tableau dashboard showing top-performing restaurants, cuisine trends, and price-rating correlations. Demonstrates SQL querying, data cleaning with pandas, and business dashboarding skills.

Source: Kaggle Zomato dataset, Zomato API (restaurant listings)

Industry Project 2

Flipkart Product Review Sentiment Analysis (Beginner): Extract product reviews for popular Indian brands (e.g., boAt, Noise, Realme) from Flipkart. Clean the data, categorize sentiment (positive/negative/neutral) using keyword matching, and create an Spreadsheet report with pivot tables showing rating distributions. Demonstrates text data handling, spreadsheet analytics, and reporting skills.

Source: Web-scraped Flipkart reviews (or Kaggle), publicly available product data

Industry Project 3

Swiggy Delivery Time & Order Trends Analysis: Analyze Swiggy delivery data to identify peak ordering hours, average delivery times by city, and popular cuisines. Build a Python notebook with pandas analysis + visualizations, then create a summary report in Google Sheets. Demonstrates end-to-end analyst workflow: SQL extraction → Python cleaning → Spreadsheet reporting.

Source: Kaggle quick-commerce/food delivery datasets, Swiggy publicly available city statistics

meet your instructors

Built by experts. Taught by practitioners

A handpicked team of analysts, mentors, and industry experts guiding your journey into data analytics.

Sriram Desai

Senior Software Engineer at PayPal | ex-ByteDance, Prime Video & Amazon Studios

Backend engineer with experience building scalable finance and content platforms across global tech companies. At ByteDance (TikTok LIVE), led invoicing and financial systems, including compliance integrations and platform redesig...

Shubhendu Shishir

Head of Engineering at Simplismart | ex-Amazon, Uber

Engineering leader building GenAI infrastructure for high-performance inference at Simplismart. Previously at Amazon, developed conversational agents and scaled large-scale catalog systems processing ~1B ASINs weekly, improving cu...

Aman Raj

Senior Application Engineer at Oracle

Software engineer with 5+ years of experience at Oracle, working across application development with strong foundations in data structures, databases, and backend systems. Experienced in building and maintaining scalable systems u...

Amit Singh

Technical Trainer (Cloud) | ex-Scaler, Tata Consultancy Services, Ericsson

Cloud and software professional with experience across training and industry roles. Currently delivering hands-on training in AWS, GCP, and Azure, with prior experience as a Lead Instructor at Scaler. Previously worked as a Soluti...

Nikhil Sanghi

Senior Manager, Data Science at Scaler | ex-Co-founder, Stonkr

Data science leader with experience managing and mentoring teams of ML engineers and data scientists. At Scaler, led large-scale curriculum design and trained 6000+ learners, while building LLM-powered solutions for interview prep...

Naman Vats

Senior Software Engineer at Sentient Labs | ex-CommerceIQ

Software engineer with experience building scalable backend and AI-driven systems. Currently working on open-source AI initiatives at Sentient Labs. Previously at CommerceIQ, progressed from SDE to SDE III, developing and scaling ...

Nischal Shetty

Director – Curriculum at Masai | ex-Scaler, Boston Consulting Group (BCG)

Education leader with experience across curriculum design, program management, and teaching. At Masai and previously Scaler, led academic programs and delivered data analytics training. Earlier worked as a Specialist Consultant at...

Venugopal Panchumarthi

Distinguished Curriculum Engineer at Masai | ex-Electronic Arts (EA)

Educator and engineer specializing in Data Structures & Algorithms curriculum design and teaching. At Masai, progressed from instructor to leading DSA curriculum and contributing to large-scale program development. Previously work...