PG Program in Data Analytics With Gen AI — Uncodemy
An intensive, 6–7 month, instructor-led professional program built around Excel, SQL, Python, statistics, Power BI, Tableau and Generative AI — designed for graduates and working professionals who want a structured, postgraduate-level depth of training rather than a short-format course.
Quick answer
Uncodemy's PG Program in Data Analytics is an intensive, 6–7 month, instructor-led professional program built around Excel, SQL, Python, statistics, Power BI, Tableau and Generative AI — designed for graduates and working professionals who want a structured, postgraduate-level depth of training rather than a short-format course. It covers 120+ hours across 75+ live sessions, 9 modules, 5 guided projects plus 1 capstone, and includes dedicated career and placement assistance. The program fee is ₹17,500 + 18% GST, totaling ₹20,650, with EMI starting from ₹4,032/month. It is delivered live online across India and in person at Uncodemy's own training centres in Noida (Sector 1) and Delhi (Laxmi Nagar, Shakarpur Extension).
Verified by: Mr. Gangesh Gaunr, Director at Uncodemy
Positioning
Why This Is Positioned as a PG-Level Program
Unlike a short weekend workshop or a single-tool crash course, this program is built at the depth and pace expected of a postgraduate-style professional program: nine sequential modules, 120+ structured learning hours, five real-world guided projects plus an independent capstone, and a formal, verifiable program certificate — all delivered by named, published trainers rather than pre-recorded generic content.
Metric
Detail
Years of Training Excellence
14+
Companies in Hiring Network
850+
Learners Trained
54,000+
Corporate Associations
200+
Placement Support
100% (assistance, not a guaranteed job outcome)
Program Details
An AI-Integrated Training & Placement Program
Built around hands-on skill-building and interview readiness — structured as a professional-level (PG-style) program rather than an introductory course.
Attribute
Detail
Learning
120+ Hours
Program Duration
6–7 Months
Live Training
75+ Live Sessions
Technology Coverage
10+ Tools & Technologies
Practical Learning
Hands-on Projects & Case Studies
Program Fee
₹17,500 + 18% GST
Total Fee
₹20,650
EMI
Starting From ₹4,032/Month
Career Support
Dedicated Career & Placement Assistance
Hiring Network
850+ Companies
Quick Facts
Quick Facts
Attribute
Detail
Program
PG Program in Data Analytics with Gen AI
Provider
Uncodemy Edutech Pvt. Ltd.
Total Learning
120+ Hours
Curriculum
9 Modules
Projects
5 Guided + 1 Capstone
Tools
Excel, SQL, Python, Power BI, Tableau + AI
Modes
Live Online, and Classroom at Noida (Sector 1) and Delhi (Laxmi Nagar)
Prior Coding Required
Not Required
Program Certificate
Uncodemy Data Analytics Certificate (institute-issued, online-verifiable)
Last Reviewed
September 2026
Audience
Who Should Enrol in This PG Program
Graduates from Any Stream
B.Com, BBA, B.Sc, B.Tech, BA, BCA — who want a structured, in-depth analytics program rather than a short crash course before entering the job market.
Working Professionals
In operations, sales, finance, HR or marketing who want a postgraduate-level, comprehensive upskilling program to formalise their data skills.
Career Changers
Moving from a non-technical role into a data role, who need the depth of a full program rather than a single-tool tutorial.
MIS & Reporting Executives
Looking to move from Excel-only work into a structured, certified SQL + Python + BI skillset.
Eligibility
Any graduate degree qualifies — this program does not require a specific undergraduate specialisation. No prior coding experience is needed; Python and SQL are taught from zero. A basic comfort with maths helps but isn't mandatory, since the statistics module rebuilds those fundamentals from scratch. A laptop with at least 8GB RAM and a stable internet connection is recommended for hands-on sessions.
Context
What This PG Program Covers
Data analytics means digging into raw information to uncover patterns, answer real business questions and guide decision-making. It brings together data cleaning, statistical work and visualisation, turning messy, scattered records into insight anyone can act on.
A data analyst pulls information from company systems and databases, tidies it up, digs out the trends, and turns findings into dashboards and reports people actually use. On any given week, that might mean writing SQL, putting together Excel or Python models, building out Power BI or Tableau visuals, then walking marketing, finance, product or ops teams through what it means for them.
Comparison
PG Program vs a Short Course — What the Extra Depth Buys
Nine modules make up the syllabus, covering 120+ learning hours, sequenced the way analysts actually approach a problem — pull the data, clean it up, break it down, make sense of it, visualise it, then explain it. Every module closes with a graded assignment on a genuine dataset, and the last one pulls it all together into portfolio work.
#
Module
Hours
Tools
1
Excel for Data Analytics
12
Excel, Power Query
2
SQL & Database Management
18
MySQL
3
Python for Data Analytics
20
Python, Pandas, NumPy
4
Statistics & Business Mathematics
12
Excel, Python
5
Data Cleaning & Exploratory Data Analysis
12
Python, Pandas
6
Power BI
18
Power BI Desktop
7
Tableau
10
Tableau Public
8
AI & Gen AI for Data Analysts
8
ChatGPT, Copilot
9
Capstone Projects & Career Preparation
10
All tools
Total
120 Hours
10+ Tools
Module 1 — Excel for Data Analytics
Advanced formulas (VLOOKUP, XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, nested IF); data cleaning with text functions, Find & Replace, Flash Fill and duplicate removal; Pivot Tables, PivotCharts, Slicers, Timelines; Power Query; data validation, conditional formatting, dashboard design; histogram, Pareto, combo and waterfall charts.
Module 2 — SQL & Database Management
Relational database concepts, ER diagrams, normalisation; SELECT, WHERE, ORDER BY, GROUP BY, HAVING; all join types; subqueries and CTEs; window functions (ROW_NUMBER, RANK, LEAD, LAG); connecting SQL databases to Python.
Descriptive statistics; probability fundamentals and data distributions; sampling methods and the Central Limit Theorem; hypothesis testing (p-values, confidence intervals, t-tests, chi-square, ANOVA); correlation and regression basics; A/B testing.
Module 5 — Data Cleaning & EDA
Data quality assessment and profiling; handling missing values; outlier detection and treatment; feature creation and binning; univariate, bivariate, multivariate analysis; correlation heatmaps; structuring an EDA report.
Module 6 — Power BI
Connecting to Excel, SQL, CSV and web sources; Power Query Editor, data modelling; DAX (calculated columns, measures, time intelligence); visuals, filters, slicers, bookmarks, drill-through; publishing to Power BI Service; row-level security basics.
Prompt engineering for data tasks; generating/debugging SQL and Python with AI assistance; Copilot in Excel and Power BI; AI-assisted insight summaries; verifying AI output for hallucinations and wrong aggregations; data privacy rules for AI tools.
Module 9 — Capstone Projects & Career Preparation
End-to-end capstone project on a real business dataset; building a GitHub portfolio and dashboard showcase; resume writing and LinkedIn optimisation; SQL and case-study interview practice; mock interviews with feedback.
Download Complete Curriculum
Get the complete course curriculum with detailed modules, topics, practical projects, tools, learning outcomes, and career-focused training. Download the curriculum to explore the full course structure.
Specialization: Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI
Technical content independently reviewed by Mr. Upendra Kumar Tiwari, Senior Data Science Trainer, 15+ years' experience. Uncodemy separates the trainer who teaches a batch from the domain reviewer who verifies the curriculum — the person teaching a course is not the only person checking whether its content is correct.
Certification
Program Certificate
On completing all nine modules, the assignments and the capstone project, learners receive the Uncodemy Data Analytics Program Certificate. The certificate records the program name, duration, tools covered and completion date, along with a verification reference checkable online at certificate.uncodemy.com.
This is Uncodemy's own institute-issued program certificate — an IIBA Endorsed Education Provider certification and an Uncodemy MSME registration certificate also back the program — rather than a university-conferred postgraduate degree.
Program Completion
A record of successful completion of the full 9-module Data Analytics program.
Online Verification
The certificate includes a verification reference checkable online.
Practical Learning
Assignments, projects and a capstone project using real Data Analytics tools.
Tool Stack
Tools and Technologies Covered
Excel
Tableau
Power BI
NumPy
Python
Pandas
SQL
Statistics
ChatGPT
Copilot
Instructors
The People Who Actually Teach This Course
Most institutes blur two jobs into one; Uncodemy keeps them apart. Trainers handle the live teaching. A separate group of domain reviewers — specialists who never teach the batch — check that the curriculum stays accurate and up to date. Every trainer and domain reviewer is published by name, so learners can look them up before enrolling.
Trainer
Role
Expertise
Mr. Irshad Khan
Data Analytics & AI Trainer (leads this program)
Python, SQL, ML, Tableau, AI, Deep Learning, Power BI, MLOps — 8+ years
Mr. Upendra Kumar Tiwari
Senior Data Science Trainer (technical reviewer)
Data Science, Data Analytics, Machine Learning — 15+ years
Mr. Syed Najeeb
Data Analytics & AI Trainer
Python, ML, DL, NLP, Power BI + more — 7+ years
Mr. Kunal Arora
Data Analytics Trainer
Python, SQL, Excel, Power BI, Tableau, ML, DL, NLP, Time Series — 5+ years
Ms. Rachna Verma
Data Analytics Trainer
Advanced Excel, SQL, Power BI, Tableau, Python, Data Visualisation, Statistics
Mr. Abhi
Data Analytics Trainer
Python, SQL, Power BI, Excel, Tableau
Mr. Anshul
Data Analytics Trainer
Python, SQL, Excel, Power BI, Data Visualization
Dr. Vijay K. Gupta
MD & CEO
EdTech Leadership, Education & Training, Research & Mentorship
Gangesh Kumar Gaunr
CEO & Founder
Technology Strategy, Cloud & AI Solutions, EdTech Leadership — 14+ years
Guided Projects
Guided Projects in the PG Program
Project
Tools
Trainer
Placed Student Example
Sales Analysis Dashboard
Python, Excel, Power BI, SQL
Ms. Rachna Verma
Sagar Bajirao Shembade — Data Analyst at SmartStudy, ₹3.25 LPA
Music Store Analysis
Power BI, DAX, CSV, GitHub, PostgreSQL
Dr. Vijay K. Gupta
Ankit Singh — Data Analyst at FINELABS, ₹4.8 LPA
COVID-19 Pandemic Analysis
Python, Pandas, Jupyter Notebook
Mr. Upendra Kumar Tiwari
Shruti Saxena — Data Analyst at Jepius Healthcare, ₹3.0 LPA
Company Insights 360
Python, SQL, Power BI, DAX
Ms. Rachna Verma
Rajat Kashyap — Data Analyst at Hexalog, ₹4.0 LPA
IPL Analysis Dashboard
Python, Jupyter Notebook, Power BI, SQL
Mr. Upendra Kumar Tiwari
Pawan Mehra — MIS Analyst at upGrad, ₹5 LPA
Each project is signed off by a named trainer and comes with a public GitHub link, so the finished work is verifiable, not just described.
Outcomes
Placement Outcomes
Graduates of this program have been placed as Data Analysts and MIS Analysts across multiple cities. Outcomes are shared directly by Uncodemy; results differ from learner to learner, shaped by skill level, experience, interview strength, qualifications and what each employer is looking for.
Student
Role
Placed At
Location
Package
Ankit Singh
Data Analyst
FINELABS
Hyderabad
₹4.8 LPA
Ashish Butola
Data Analyst
Allsoft Solutions
India
₹4.8 LPA
Rajat Kashyap
Data Analyst
Hexalog
Delhi
₹4.0 LPA
Sagar B. Shembade
Data Analyst
SmartStudy
Pune
₹3.25 LPA
Priyanka Kumari
Data Analyst
CloudFirst Digital
Noida
₹3.0 LPA
Shruti Saxena
Data Analyst
Jepius Healthcare
Delhi
₹3.0 LPA
Pawan Mehra
MIS Analyst
upGrad
—
₹5 LPA
Career Paths
Job Roles This PG Program Prepares You For
Role
Core Tools
Data Analyst
SQL, Excel, Python, Power BI
Business Analyst
SQL, Excel, BI tools
MIS Executive / Analyst
Excel, SQL, Power BI
Business Intelligence Analyst
Power BI, Tableau, SQL, DAX
Marketing / Product Analyst
SQL, Python, BI tools
Operations Analyst
Excel, SQL, Power BI
Most graduates start as a Data Analyst, MIS Analyst or Business Analyst and move into the other roles with two to four years of experience, once they've built domain knowledge in a specific function such as marketing, operations or finance.
Salary Guide
Indicative Salary After This Program
Career Level / Role
Indicative Salary Range
Entry-Level Data Analyst
₹3–6 LPA
Data Analyst (Mid-Level)
₹6–10 LPA
Senior Data Analyst
₹10–15 LPA
Business Intelligence Analyst
₹7–12 LPA
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026. Salary ranges are indicative and may vary based on role, skills, experience, location, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.
Support
Career and Placement Support
Portfolio Review
Guided projects are shaped into a portfolio that holds up under interview scrutiny.
Resume & LinkedIn
Resumes are built around the keywords and results that matter, with LinkedIn brought in line to match.
Interview Prep
SQL practice sets, Excel and BI tasks, case studies, and the behavioural questions analyst interviews actually ask.
Mock Interviews
Run with trainers, followed by clear written notes on where to improve.
Opportunity Sharing
Relevant openings surfaced from the 850+ company hiring network, with support through the application and interview stages.
Continued Support
Real, ongoing help — not a job guarantee, because no institute can honestly hand one out. Support continues for anyone who stays engaged after the program wraps.
Fee & Payment
Fee and Payment
Component
Amount
Base Program Fee
₹17,500
GST (18%)
₹3,150
Total Fee
₹20,650
EMI
Starting from ₹4,032/month
Trial
2-class trial before full commitment
The fee is identical whether the program is taken Live Online or in Classroom at either the Noida or Delhi centre.
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Nirman Vihar Metro Station (10–15 min walk); Laxmi Nagar Metro (~1 km)
Both centres run the identical syllabus, taught by the identical trainer faculty, at the identical fee. See the dedicated Data Analytics Course in Noida or Data Analytics Course in Delhi pages for centre-specific batch timings and directions.
A full, structured, postgraduate-style analyst transition
This PG Program
Heavy ML/Data Science depth
Choose the Data Science program
Business-focused analytics
Consider Business Analytics
Self-paced learning
Recorded course
Have Questions?
Frequently Asked Questions
Is this a university-affiliated postgraduate degree?▾
No. This is Uncodemy's own intensive, structured professional program — positioned at postgraduate depth and pace — and it issues the Uncodemy Data Analytics Program Certificate (IIBA Endorsed Education Provider, online-verifiable), not a university-conferred degree.
What is the duration of this PG Program?▾
The program runs for 6–7 months and includes 120+ hours of learning across 75+ live sessions. Weekday and weekend batches are both available.
Can I join without a technical or coding background?▾
Yes. No prior programming experience is required. Python and SQL are taught from the beginning, and the first two months focus on Excel and SQL, which need no traditional coding.
What tools are covered?▾
10+ tools including Excel, SQL, Python, statistics, Power BI, Tableau and Generative AI.
Does the program include a Gen AI module?▾
Yes. Module 8 is a dedicated 8-hour module on AI for data analysts, covering prompt engineering, AI-assisted SQL and Python, Copilot in Excel and Power BI, and verifying AI output.
How many projects will I complete?▾
Five guided projects across retail, banking, HR, e-commerce and healthcare domains, plus one capstone project of the learner's own choosing.
What is the fee for this PG Program?▾
The program fee is ₹17,500 plus 18% GST, total fee ₹20,650, with EMI starting from ₹4,032/month.
Do you provide placement assistance?▾
Dedicated career and placement assistance is provided — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through the network of 850+ companies. Employment is not guaranteed, as hiring decisions rest with employers.
Where can I attend this program in person?▾
At Uncodemy's own training centres in Noida (Sector 1) or Delhi (Laxmi Nagar, Shakarpur Extension), or live online from anywhere in India.
Who verifies the curriculum for this program?▾
The curriculum is designed by Mr. Irshad Khan and technically reviewed independently by Mr. Upendra Kumar Tiwari, Uncodemy's Senior Data Science Trainer.
Placement figures sourced from internal placement records.
Last reviewed: September 2026.
Last reviewed: September 2026. Data sourced directly from: uncodemy.com/course/data-analytics-training-course-in-delhi and uncodemy.com/course/data-analytics-training-course-in-noida.
Certification note: "PG Program" reflects Uncodemy's own program positioning/naming, not a university-affiliated postgraduate degree.
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