What is the refund policy?

You can request a full refund within the first 7 days of your cohort starting, as long as you have attended no more than the first two live sessions. After that point the fee is non-refundable, because mentor time, project reviews and placement support are already allocated to your seat.

What happens if I miss a live session?

Nothing is lost. Every live session is recorded and shared with your cohort, and your mentor covers doubts from the previous session at the start of the next one. You can also raise questions in the cohort group between sessions.

Are session recordings provided?

Yes. All 48 sessions are recorded and available in your dashboard, so you can revise any topic at your own pace alongside the live weekend schedule.

Do I need any prior coding experience?

No. The program starts from Excel fundamentals and builds up to SQL, Python and agentic AI workflows step by step. Most learners join from non-tech backgrounds.

Will I receive a certificate? Is it recognized/accredited?

Every learner who completes the program receives a Certificate of Completion from Skillancy, an ISO certified training provider. It is a training credential you can add to LinkedIn and your resume — it is not a university degree, and what carries the most weight with hiring managers is the portfolio of real projects you build during the program.

Who is this program for, and who is it not for?

It is built for non-tech graduates, working professionals upskilling into analytics and people returning after a career break who want structured mentor-led learning. It is not the right fit if you already have 2+ years of data analyst experience, cannot attend live weekend sessions, or are looking for a free self-paced course.

What tools and software will I need?

A laptop with a stable internet connection is enough. You will work with Excel, PostgreSQL, Tableau, Python and Make.com — all of them are free or free-tier for learners, and setup is walked through live in the first sessions.

How much time should I commit each week outside live sessions?

Plan for about 4–6 hours a week beyond the live weekend sessions for practice assignments, capstone work and interview prep. Capstone weeks may need slightly more.

Beginner to Job-Ready

Data Analytics with Agentic AI

Excel to AI Agent — Zero to Analyst in 3 Months

A 3-month, 96-hour weekend program that takes you from Excel and statistics to SQL, Tableau, Python and agentic AI. 8 real-world capstone projects, mock interviews and placement prep across 5 phases.

3 Months · 12 Weeks · 96 Hours
Live weekend cohort (Sat & Sun) + recordings
Live instructor-led on Zoom
1-year placement support

ISO Certified

Enrol online

₹19,999₹39,999

or ₹950/month with EMI

Secure checkout via Razorpay — UPI, cards, netbanking and wallets. Instant access in your dashboard.

Next cohort starts in

--Days

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Batch begins 26 September 2026

Talk to a mentor

Get the detailed syllabus, batch dates and fee options.

Overview

What this program covers

Excel to AI Agent — Zero to Analyst in 3 Months. 72 hours of core training plus a 24-hour case study and interview track, delivered live on Saturdays and Sundays. Built for students, non-tech backgrounds, working professionals and career-break returners — no prior coding needed.

This program is for you if:

You're from a non-tech background wanting to break into analytics
You're a working professional looking to upskill
You're returning to work after a career break
You want structured, mentor-led learning over self-paced videos

Outcomes

What you will be able to do

Analyse business data confidently in Excel with pivot tables, lookups and statistics
Write advanced SQL with CTEs, window functions and analytical joins
Build interactive KPI dashboards and data stories in Tableau
Automate analysis with Python, NumPy, Pandas, Matplotlib and Seaborn
Build your own no-code AI agent with Make.com and API integrations
Ship 8 real-world capstone projects and clear mock interviews with feedback

Meet your instructors

Learn directly from working data professionals

Rishav Kumar

Principal Data Analyst

Walmart

Sutapa Banerjee

Data Analyst

Google

Sowmya Krishna

Senior Data Analyst

Walmart

Student success stories

Real career transformations from Skillancy alumni

“One of the most impactful learning experiences of my analytics journey — especially SQL and Python. Real-world scenarios and case studies strengthened my analytical thinking.”

Sanghamitra Phukan

Oracle

“Skillancy's mentorship went beyond interview prep — teaching me how to think critically and solve real-world problems, with end-to-end support throughout.”

Jayant Khanna

PayPal

“Structured, industry-aligned training helped me secure a role at ZoomInfo. Hands-on, real-world problem-solving strengthened my technical skills and confidence.”

Mohammad Ammar

ZoomInfo

“Key to transitioning into analytics without prior experience. Structured mentorship and rigorous SQL training built strong technical confidence, plus valuable career planning.”

Umashankar Pati

RSystems

“Crucial in helping me transition into data analytics from a non-technical background. Patient mentorship and guidance in resume building and interview prep were instrumental.”

Ankita Singh

EXL Services

Hiring partners

Where our alumni work

Target

and more

Weekly schedule

Week-by-week curriculum

Five phases, twelve weeks, one continuous build from spreadsheets to a placement-ready portfolio.

Phase 1

Phase 2

Phase 3

Phase 4

Phase 5

Saturday 10:00 AM – 12:00 PM — Core Session 1
Saturday 1:30 PM – 3:30 PM — Core Session 2
Sunday 10:00 AM – 12:00 PM — Core Session 3
Sunday 1:30 PM – 3:30 PM — Case Study & Interview Practice

Phase 1 — Excel, Statistics & SQL Foundations

Weeks 1–5

Core content (6 hrs) · Week 1

Excel basics & formatting, sorting/filtering
Aggregations (SUM/AVERAGE)
IF/AND logical functions
VLOOKUP & INDEX-MATCH

Sunday case / interview track (2 hrs)

Excel interview Q&A — formulas, lookups, common trick questions

Core content (6 hrs) · Week 2

Pivot tables & basic charts
Central tendency: Mean, Median, Mode
Spread, percentiles/IQR
Skew & kurtosis, correlation, normal distribution
Z-score outliers, sampling

Sunday case / interview track (2 hrs)

Statistics & analytics interview questions

Capstone project

Retail Sales & Inventory Performance Analysis — DMart (Excel)

Core content (6 hrs) · Week 3

Database concepts
SELECT / WHERE / ORDER BY
GROUP BY / HAVING
All join types, UNION/UNION ALL

Sunday case / interview track (2 hrs)

SQL interview Q&A — SELECT, WHERE, GROUP BY

Core content (6 hrs) · Week 4

Subqueries (basic & correlated)
CASE statements
Advanced join scenarios

Sunday case / interview track (2 hrs)

SQL interview Q&A — subqueries & joins

Core content (6 hrs) · Week 5

CTEs & recursive CTEs
Window functions: RANK, ROW_NUMBER, LEAD/LAG
Running aggregations
PERCENTILE_CONT

Sunday case / interview track (2 hrs)

Business case — solving a real query problem using window functions

Capstone project

E-commerce Order & Customer Segmentation Analysis — Flipkart (SQL)

Phase 2 — Tableau

Weeks 6–7

Core content (6 hrs) · Week 6

Tableau introduction, connecting to Excel/CSV/SQL
Interface basics, dimensions vs measures
Foundational chart types & filters
Calculated fields & table calculations
Parameters, Level of Detail (LOD) basics

Sunday case / interview track (2 hrs)

Tableau / BI interview Q&A

Core content (6 hrs) · Week 7

Dashboards & dashboard actions
Data storytelling
KPI dashboards

Sunday case / interview track (2 hrs)

Case study — leadership dashboard design review

Capstone project

Sales & Marketing Performance Dashboard — Ola (Tableau)

Phase 3 — Python for Analytics

Weeks 8–10

Core content (6 hrs) · Week 8

Variables & data types
Lists & dictionaries
Conditional statements
Loops (for/while)
Functions & built-ins

Sunday case / interview track (2 hrs)

Python interview Q&A

Core content (6 hrs) · Week 9

NumPy arrays & operations
Indexing & broadcasting
Practice problems

Sunday case / interview track (2 hrs)

Python/NumPy interview Q&A

Core content (6 hrs) · Week 10

Pandas DataFrames & filtering
Data cleaning & transformation, merging datasets
Exploratory Data Analysis & outlier handling
Data validation
Visualization with Matplotlib & Seaborn

Sunday case / interview track (2 hrs)

Case study — cleaning a messy real-world dataset

Capstone project

Customer Churn Prediction & Behavior Analysis — Zomato (Python)

Phase 4 — Agentic AI

Week 11

Core content (6 hrs) · Week 11

Make.com workflow creation
API integrations
Build your own no-code AI agent
Final capstone presentation

Sunday case / interview track (2 hrs)

Mock interviews + placement prep

Phase 5 — Resume Creation & Mock Interviews

Week 12

Core content (6 hrs) · Week 12

Resume & LinkedIn profile building for data roles
Portfolio & GitHub presentation
Common HR & behavioral interview questions
Salary negotiation basics

Sunday case / interview track (2 hrs)

Live mock interviews (technical + HR rounds) with feedback

Capstone projects

Real-world projects delivered across the program

Excel · DMart

Retail Sales & Inventory Performance Analysis

Pivot tables, lookups & stats applied to a multi-store retail dataset

SQL · Flipkart

E-commerce Order & Customer Segmentation Analysis

CTEs & window functions used to segment customers by order behavior

Python · Zomato

Customer Churn Prediction & Behavior Analysis

Pandas-based cleaning & feature analysis on delivery data

Tableau · Ola

Sales & Marketing Performance Dashboard

An interactive KPI dashboard built for a leadership review

Excel · BigBasket

Grocery Delivery Performance & Discount Analysis

Pivot tables & lookups measuring discount impact and delivery SLAs across dark stores

SQL · Myntra

Fashion Returns & Customer Lifetime Value Analysis

CTEs & window functions analyzing return rates and CLV across fashion categories

Python · Paytm

Transaction Pattern & Spend Behavior Analysis

Pandas-based cleaning & EDA on digital payment transaction data

Tableau · MakeMyTrip

Travel Booking Trends & Revenue Dashboard

Interactive dashboard tracking booking trends, seasonality & revenue by route

Toolkit

Tools and platforms you will use

Excel
PostgreSQL
Tableau
Python
NumPy
Pandas
Matplotlib
Seaborn
Make.com

Get certified

Certificate of Completion

Every learner who completes the program receives a Certificate of Completion from Skillancy.

Practice

Python interview questions for data analysts — practise free

Every Data Analytics with Agentic AI learner gets unlimited access to our in-browser practice sets. Start with these Python and SQL interview questions — no signup, code runs in your browser.

Python interview questions for data analyst

30 problems with hints, tests and explanations

Browse all 30 Python questions

SQL interview questions

25 problems on a real in-browser Postgres engine

All SQL questions Free Python compiler

FAQ

Frequently asked questions

Ready to start learning?

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