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Data Analytics with AI
Build strong foundations in Data Analysis, Business Intelligence, and AI-powered analytics tools used by modern organizations.
Technologies Covered
- SQL (Database Querying & Analysis)
- Power BI (Interactive Dashboards & Visualization)
- ETL / ELT Concepts
- Data Warehousing (DW)
- Advanced Excel for Data Analysis
- Python Basics for Data Handling
- AI Applications in Data Analytics
Program Benefits
- 1 Year Training & Placement Support
- Expert Mentorship from Industry Professionals
- 15 Mock Interview Sessions
- After Mock Clearing → Resume, Certification & Profile Building
- 1 Repeat Batch Option for revision and practice
Course Duration
4–6 Months
Learning Style
Hands-on, project-based
Prerequisites
None – beginners welcome
Hands-On Learning
Topics are delivered through guided exercises and mini-projects that build your portfolio as you progress through the course.
E-commerce Analysis
Analyze sales datasets to identify trends and customer behavior patterns.
Financial Forecasting
Use historical market data to build predictive models and insights.
Healthcare Analytics
Apply analytics to healthcare metrics and patient outcome data.
Social Media Insights
Analyze social media metrics and sentiment analysis for brands.
Capstone Project
In the final weeks, undertake a comprehensive analytics project from end to end. Source or receive a large dataset, then clean, analyze, and visualize it into a polished report or dashboard. This capstone demonstrates your complete skill set – from data sourcing through final presentation. You’ll have a portfolio-ready example showcasing your abilities to potential employers and clients.
Source Data
Identify and collect relevant datasets
Clean & Prepare
Transform raw data for analysis
Analyze
Extract meaningful insights
Visualize
Create compelling dashboards
Who Should Enroll
No coding required! If you can navigate Excel and follow logical arguments, you can succeed. We welcome all backgrounds – business, engineering, sciences, commerce, and more
Fresh Graduates
Recent degree-holders from any field looking to start an analytics career.
Undergraduates
Current students wanting to build marketable data skills alongside their degree.
Career Switchers
Professionals seeking to transition into the high-demand analytics field.
Gap Year Learners
Anyone taking a break who wants to re-skill with in-demand capabilities.
Career Support & Placement
We provide dedicated placement support including LinkedIn optimization, guest lectures, hackathons, and potential internship opportunities with real companies. Connect directly with prospective employers through our strong industry partnerships.
Resume Optimization
Tailored to highlight your analytical projects and tools skills for maximum impact.
Industry
Network
Access to 500+ hiring partners including tech firms, consultancies, and startups.
Mock
Interviews
Practice sessions with data professionals covering common analyst interview questions.
Ongoing
Support
1+ year of active placement assistance with referrals and opportunities.
Career Outcomes & Salary
Job Roles
- Data Analyst
- Business Intelligence (BI) Analyst
- Analytics Consultant
- Reporting Analyst
- Business Analyst
With experience, advance to Data Scientist, Analytics Manager, or Business Insights Manager roles
Graduates land roles at companies like Flipkart, Swiggy, Zomato, Ola, and global firms. Remote and international positions offer competitive USD or EUR packages.
Market Opportunities & Scope
India Market
Over 11 million analytics professionals needed by 2026. Market growing at ~36% CAGR to reach $3.6 billion. Key sectors: BFSI, e-commerce, manufacturing, healthcare, telecom. Major hubs: Bangalore, Hyderabad, Mumbai, Pune. Over 825 million internet users generating massive data daily.
Global Outlook
23% growth in data jobs by 2032 (US Bureau of Labor Statistics). Global analytics industry reaching $130-133 billion by 2026. 70% of analysts report AI automation boosts their effectiveness. Demand across healthcare, finance, retail, logistics, and tech worldwide.
Excellent career scope with opportunities at tech giants, banks, consultancies, government agencies, and multinational employers. AI tools enhance rather than replace analysts, creating higher-value roles.