From Excel to AI —
Inside the Data Analyst &
Data Scientist Workflow
See how today's analysts and data scientists work — using Excel, SQL, Python, Power BI, and AI co-pilots together. Learn the modern workflow from the 'og' mentors at AnalytixLabs.
Registrations close in
Stats as of Q1 2026, per AnalytixLabs internal enrollment data.
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Join 15,000+ professionals upgrading from Excel to AI-powered analytics workflows.
Quick Primer
What is an AI-Native Data Analyst?
Most professionals still run their day on Excel alone. Today's analysts and data scientists run the same work faster — using SQL, Python, Power BI, and AI co-pilots together. In 2026, this combined workflow is what separates a reporting role from a decision-making one.
- • Builds reports, pivots and dashboards in Excel
- • Manual data cleaning and VLOOKUP-heavy work
- • Limited to small datasets and static analysis
- • Career ceiling: Reporting Analyst (₹5–9 LPA)
- • Uses Excel + SQL + Python + Power BI together
- • Cleans, models and analyses data 5× faster with AI co-pilots (ChatGPT, Claude)
- • Handles large datasets, builds predictive models
- • Career path: Data Analyst → Data Scientist (₹12–25 LPA)
What You'll Master
Designed for working professionals who want to move from Excel-only work to the full modern analytics stack — without quitting their job.
AI-Powered Analytics
Use ChatGPT, Claude, and automation workflows to generate insights 10x faster.
The Modern Toolkit
Master the high-ROI intersection of Excel, SQL, Python, and Power BI dashboards.
Career Roadmap
Strategic path to transition into Data Analyst and Data Science roles in 2026.
Excel to AI-Native Data Scientist — The Real Workflow
Every Excel user asks the same thing: how do I move into data science without going back to college? We map the full modern workflow — Excel, SQL, Python, Power BI, AI co-pilots — and you watch a real business problem solved end-to-end.
By the end of this session
You will clearly understand
What the modern stack looks like
The real tools and workflow companies use in 2026 — beyond what most professionals see in their current role.
Your Excel-to-AI path
A clear, role-by-role plan to move from Excel-only work into Data Analyst and Data Scientist positions, without starting from zero.
What we'll cover
The 90-minute walkthrough
- 01
The 2026 Workflow Shift
Why Excel-only work is no longer enough, and what companies now expect from analysts and data scientists across every industry.
- 02
A Day in the Life of an AI-Native Analyst (Live Worked Example)
One real business question and dataset, worked end to end — from Excel to SQL to Python to an AI co-pilot — so you see exactly how the modern analyst job is done today.
- 03
The Excel Foundation (and Where It Ends)
What Excel still does brilliantly in 2026, and the exact point where every analyst needs to move beyond it to grow their career.
- 04
SQL & Python: The Two Languages That Matter
Why SQL handles 80% of analyst work, where Python takes over, and how to learn both — even with zero coding background.
- 05
Power BI & Visualization: Telling the Story
Turning analysis into dashboards that decision-makers actually use, and why this single skill can change your salary band.
- 06
The AI Layer: ChatGPT & Claude in Real Work
How working analysts use AI co-pilots to write code, clean data and explain insights — the productivity multiplier reshaping the role in 2026.
- 07
Analyst vs Data Scientist: The Bridge
The honest difference between the two roles, the skills that overlap, and the realistic path to move up — without starting your career over.
- 08
Program Walkthrough
Introduction to our 6-month AI-Native Data Analyst programme, in classroom at the Bangalore and NCR centres or fully online. Outcome-backed: ₹6L minimum CTC, with a 50% fee refund if not placed within six months.
Learn from Sandeep Ravula
Sandeep has solved complex business problems with data science across five industries: CPG, E-commerce, Telecom, Media and Manufacturing. A hackathon regular in his free time, he teaches the way he works, with real datasets and real business questions. Say hello in the Q&A, he is happy to connect.
