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✅ Industry-Ready Curriculum
✅ AI-assisted Analytics Workflow

Become a Product & Data Analyst
Ready for Modern AI Workflows

Master SQL, Python, Power BI, Product Analytics and AI-assisted workflows to solve real business problems and build a high-growth analytics career.

Weekday Live Online Starts 17 Nov 2026
Weekend Live Online Starts 21 Nov 2026
Apply for Next Batch View Curriculum
15 Weeks Intensive Program
Live Mentor-led Training
3 Industry Projects
Portfolio & Interview Prep
Business Intelligence
Executive Overview
Live
Revenue
₹84.2L
+12.4%
Users
24,810
+8.1%
Conversion
3.7%
-0.3%
Monthly Revenue
JanMarMayJulSepNov
Acquisition Funnel
Visitors100%
Sign-ups62%
Activated38%
Paid14%
Analytics Assistant
Revenue increased 12%
Mobile conversion decreased 4%
Recommend investigating checkout funnel
Self Identification

This Program is Perfect For You If…

You're a final-year student looking for your first tech role in data or product.
You work with Excel and want to become a fully-fledged analyst.
You're in QA, Support, Operations or MIS and want to transition into analytics.
You're an engineer planning to switch into IT product or data roles.
You're curious about Product Analytics and AI — and want real skills, not just theory.
The Problem

Feeling Stuck in Your Career?

"I know Excel but companies ask for SQL, Power BI and Python. I don't know where to start."

Learn modern analytics skills used by leading companies — from SQL to Power BI to Python, step by step.

"I've completed online courses but still don't know how to work on real data or talk to stakeholders."

Work on real-world projects, build a portfolio and practice presenting insights to simulate actual job scenarios.
The Opportunity

Why Product & Data Analytics?

Business decisions today are driven by data. Every product launch, marketing campaign, and pricing change is validated by analysts who can extract signal from noise. Companies are hiring data-capable people at every level.

Today's analysts spend less time writing SQL, cleaning data, and preparing reports—and more time solving business problems. Modern AI tools help analysts work faster, while analytical thinking and decision-making remain essential.

Where You Can Work

Career Opportunities

Product Analyst
Fresher
₹4–7 LPA
Experienced
₹10–18+ LPA
Data Analyst
Fresher
₹4–8 LPA
Experienced
₹9–20+ LPA
Business Analyst
Fresher
₹5–8 LPA
Experienced
₹10–22+ LPA
Growth Analyst
Fresher
₹5–9 LPA
Experienced
₹12–22+ LPA
BI Analyst
Fresher
₹4–7 LPA
Experienced
₹9–18+ LPA
Marketing Analyst
Fresher
₹4–7 LPA
Experienced
₹8–16+ LPA
Customer Insights Analyst
Fresher
₹4–6 LPA
Experienced
₹8–15+ LPA
Revenue Analyst
Fresher
₹5–8 LPA
Experienced
₹10–20+ LPA
Product Ops Analyst
Fresher
₹4–7 LPA
Experienced
₹9–18+ LPA

* Salaries vary based on company, location, skills, and experience.

Industry Reach

Skills Used by Professionals at

Analysts at India's leading product companies use these same tools every day.

Logos are trademarks of their respective owners, shown only to illustrate companies that hire for analyst roles using these skills. They are not Aspira's hiring or placement partners, and no affiliation or endorsement is implied.

The Role

A Day in the Life of a Product & Data Analyst

Morning
Review yesterday's business metrics.
Check dashboards, flag anomalies, set the day's analytics priorities with the team.
Afternoon
Analyze user behavior using SQL and dashboards.
Query databases, build funnel reports, segment cohorts to identify drop-off points and growth drivers.
Evening
Present insights to the Product Manager.
Translate data into decisions. Recommend product improvements backed by real evidence and projected impact.
This is exactly the workflow you'll practice throughout the program — from raw data to boardroom-ready insight.
Curriculum

What You'll Learn

Build
  • Excel
  • SQL
  • Statistics
Analyze
  • Python
  • Power BI
  • Tableau
Understand
  • Product Metrics
  • Funnels
  • Retention
  • A/B Testing
AI-Assisted Productivity
  • AI-assisted SQL
  • AI-assisted Python
  • AI-assisted Reporting
  • AI-assisted Documentation
Launch
  • Projects
  • Portfolio
  • Mock Interviews
  • Career Support
Tech Stack

Tools You'll Master

Analytics Tools
Excel
SQL
Power BI
Python
Mixpanel
Amplitude
Tableau
Productivity Tools
ChatGPT
GitHub Copilot
NotebookLM
Claude
GitHub
Portfolio

Learn by Building 3 Real Projects

The same problems analysts solve on the job — taken from raw data to an executive-ready recommendation you can show recruiters.

SQL · Power BI
Executive Sales Dashboard
End-to-end sales pipeline analysis with executive-ready visuals and automated KPI tracking.
SQL · Python
Customer Behaviour Analytics
Cohort retention analysis, churn prediction model, and lifetime value segmentation.
Mixpanel · Python
SaaS Product Analytics
Feature adoption funnel, DAU/MAU tracking, and A/B test analysis for a SaaS product.
How AI Fits In

Modern Analytics Workflow

Today's analysts don't rely on AI to make decisions.

They use AI to eliminate repetitive work and focus on solving business problems.

During this program you'll learn how to:

Important: Every recommendation is validated using real data and analytical thinking.
✓Convert business questions into SQL using AI assistance
✓Debug and understand Python code faster
✓Generate documentation and SQL comments
✓Summarize dashboard observations
✓Draft executive reports and presentations
✓Brainstorm hypotheses before validating them with data
Why Aspira

Numbers That Speak for Themselves

8+
Years Training Experience
4,600+
Learners Trained Since 2018
3
Industry Projects
100%
Live Mentor-led Sessions
AI Integrated Curriculum
Career Support
Mock Interviews
Portfolio Website
Your Guide

Meet Your Mentor

Monisha - Mentor
Monisha
Data Scientist & Instructor
Experience
4+ Years in Data & Analytics
Industries
E-commerce, SaaS, Fintech
Projects
50+ real-world analytics builds
Learners
600+ trained & mentored
"I don't just teach tools — I teach you to think like an analyst. Every insight you learn to extract is a decision you can influence. That's where real career growth begins."
Career Support

Our Career Support

Resume Building
ATS-optimised resume for analyst roles
LinkedIn Optimisation
Profile that attracts recruiters
Portfolio Website
Showcase projects to hiring managers
Mock Interviews
Live practice with industry scenarios
Placement Support
Connections and referrals to opportunities
Your Journey

Student Success Roadmap

Admission
Learning
Projects
Portfolio
Mock Interviews
Placement
Common Questions

FAQs

Can non-IT students join?
Absolutely. This program is built for anyone from any background — arts, commerce, science, or engineering. What matters is your drive to work with data, not your degree.
Do I need coding experience?
No prior coding experience is required. We teach Python and SQL from absolute scratch, with exercises designed to build confidence before you even write a query.
Will AI replace analysts?
Modern AI tools can generate SQL, summarize reports, and automate repetitive work. However, companies still rely on analysts to ask the right questions, validate results, interpret business impact, and communicate recommendations. Throughout this program, you'll learn how to use AI responsibly while strengthening the analytical skills employers value most.
Can working professionals join?
Yes. Choose the Weekday or Weekend live batch to fit around your work hours. Many of the 4,600+ learners we've trained since 2018 studied alongside full-time jobs.
Will you teach from basics?
Yes. Every tool — SQL, Python, Power BI, Excel — is taught from the ground up. No assumptions made about your current level.
How are classes conducted?
All sessions are live, mentor-led, and conducted online. Recordings are available for revision. You also get access to a private student community for peer learning.
What is the program fee? Is EMI available?
The program fee is ₹34,500. Easy EMI options are available — our admissions team will share the monthly plans when they call you.
Reserve Your Seat

Apply for the Next Batch

₹34,500 · EMI available Weekday 17 Nov · Weekend 21 Nov

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    Become an AI-Powered Product & Data Analyst.
    Weekday batch starts 17 Nov 2026 · Weekend batch starts 21 Nov 2026

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