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Recorded Course · Lifetime Access

Data Analytics with Gen AI —
Complete Recorded Course.

120+ hours of recorded lessons, 12 hands-on projects and a Gen AI module you can start today at your own pace. Buy once, watch forever — and if you ever want live classes, upgrade by paying only the difference.

120+ hours
12 projects
18 tools
Certificate included
4.7 out of 5
based on 1,200+ reviews
See reviews →
Course Preview

Data Analytics with Gen AI

  • 120+ hours of lessons
  • 12 hands-on projects
  • Gen AI module included
  • Lifetime access
₹3,539
All-inclusive one-time payment (₹2,999 + 18% GST). No hidden fees.
Data Analytics with Gen AI course preview — sample recorded lesson thumbnail
▶ Watch a real 8-minute lesson from the paid course
Lifetime access Buy once. Revise anytime.
Learn at your speed No missed classes.
Gen AI module ChatGPT & Copilot inside.
Upgrade anytime Pay only the difference.
Outcomes

What you can do after this course

Every module ends with a graded project, so you finish with a portfolio — not just watch-time.

Clean and reshape messy data with Python (pandas, NumPy)
Write production-grade SQL — joins, subqueries, window logic
Build interactive dashboards in Power BI and Tableau
Automate Excel reporting with Power Query and pivots
Use ChatGPT and Copilot to write and debug queries fast
Verify AI output so wrong numbers never reach a report
Run EDA, hypothesis tests and basic ML models
Present findings as a clear business story to stakeholders
PORTFOLIO

12 Projects You'll Build & Get Graded On

01
Retail sales EDAPython + pandas
02
Sales database designSQL + joins
03
HR attrition dashboardPower BI + DAX
04
Marketing spend trackerExcel + Power Query
05
Customer churn modelLogistic regression
06
COVID trends storyTableau dashboard
07
A/B test analysisHypothesis testing
08
AI-assisted SQL debuggingChatGPT + Copilot
09
Sentiment mini-projectNLP basics
10
Loan default classifierKNN / SVM
11
Automated reporting botPower BI Copilot
12
Capstone business caseFull pipeline, presented as a stakeholder report

Each project is reviewed against a rubric by the course team; you get written feedback within 2–4 working days.

WHO TEACHES YOU

Learn from Working Data Practitioners

Recordings are led by Uncodemy's in-house analytics trainers, each with prior industry experience before moving to full-time training.

Lead Trainer — Python, SQL & ML
Data Analytics Faculty, Uncodemy

Handles the Python, SQL and machine-learning modules. Full name, photo and LinkedIn profile are shown on the course dashboard and in the enrolment email.

BI Trainer — Power BI, Tableau & Excel
BI & Visualization Faculty, Uncodemy

Handles dashboarding, DAX and advanced Excel. Full name, photo and LinkedIn profile are shown on the course dashboard and in the enrolment email.

Recordings are refreshed periodically to keep tools and screenshots current — the last update date for each module is shown inside the dashboard.

UPGRADE TO PRO

Start Recorded. Upgrade to Live whenever you want.

You are not locked in. Start with the ₹3,539 recorded course today, and if you decide you want live trainers, doubt sessions and placement support, just pay the difference.

Recorded Course

₹3,539

₹2,999 + 18% GST · one-time · lifetime access

  • 120+ hours recorded lessons
  • 12 modules, 12 graded projects
  • Notes, datasets & code files
  • Completion certificate
  • Lifetime access + free content updates
  • Live trainer sessions
  • Daily doubt-clearing
  • Mock interviews & placement support
Best Value

Live Training

₹20,650

₹17,500 + 18% GST · 5–6 months

  • Everything in the recorded course
  • Live classes, batch of 18 learners
  • Daily 1-hour doubt session
  • 6 recorded mock interviews
  • Resume & portfolio rebuild
  • Hiring-partner referrals, 12-month support
  • One free batch repeat
  • Power BI & Tableau exam prep

Already bought the recorded course? Upgrade for ₹17,111 more.

Pay the live-training fee (₹20,650, GST incl.) minus what you already paid (₹3,539) — no deadline on this upgrade.

FULL CURRICULUM COVERED

Everything You Need to Become Job-Ready

Python for Data Analytics
6 Topics
  • Python basics, variables, operators
  • Conditionals, loops, CLI arguments
  • Lists, tuples, sets, dictionaries, strings
  • File input/output operations
  • Functions, lambda, scope, built-ins
  • OOP: classes, inheritance, decorators
  • Modules, packages, exception handling
  • NumPy arrays, indexing, manipulation
  • pandas Series & DataFrames
  • Merging, joins, concatenation
  • Data cleaning with pandas
  • Exploring real datasets
Data Science Primer & Statistics
4 Topics
  • What data science involves, life cycle
  • BI vs data science, tools landscape
  • Stages of analytics, CRISP-DM
  • EDA and the four business moments
  • Correlation analysis
  • Feature engineering techniques
  • Probability & distributions
  • Central limit theorem
  • Hypothesis testing, p-value, errors
  • A/B testing in industry
Machine Learning Essentials
5 Topics
  • Simple & multiple linear regression
  • Regression in Python, industry use
  • Univariate & multivariate logistic regression
  • KNN classifier & hyperparameter tuning
  • Support vector machines, kernels
  • Decision trees, entropy, information gain
SQL & Databases
5 Topics
  • Databases, ER diagrams, cloud DB setup
  • CREATE, DROP, UPDATE, DELETE, SELECT
  • Filtering, wildcards, ORDER BY
  • Aggregate functions & GROUP BY
  • Subqueries and best practices
  • Inner, left, right, full outer joins, unions
  • Text, date & time functions
  • CASE statements and views
  • Data governance & profiling
  • Accessing databases from Python (DB-API)
Advanced Excel for Analysts
2 Topics
  • Handling large spreadsheets efficiently
  • VLOOKUP, IF, COUNTIFS, SUMIFS and more
  • Cleaning & organising messy data
  • Data validation and drop-down lists
  • Pivot tables, pivot charts, slicers, timelines
  • Power Query import & transform
  • Pareto, histogram, treemap, sunburst charts
  • Excel dashboards & professional formatting
Tableau — Visual Analytics
2 Topics
  • Tableau architecture & interface
  • Connecting data, extracts & blending
  • Charts from basic to advanced
  • Sorting, filters, context filters
  • Groups, sets and combined sets
  • Reference lines, bands, distributions
  • Parameters, actions, calculated fields
  • Forecasting and clustering
  • Maps, dashboards and stories
  • Publishing & sharing dashboards
Power BI & DAX
2 Topics
  • Power BI need, advantages, installation
  • Desktop vs mobile editions
  • Data source library & DW files
  • Report design with database tables
  • Visuals, fields and UI options
  • Multi-page reports & filters
  • GET DATA options and report views
  • Rendering options & end-user access
AI & Generative AI for Analysts
7 Topics
  • AI vs ML vs deep learning
  • Generative AI: GANs, VAEs, transformers
  • GPT, DALL·E, Stable Diffusion overview
  • Prompt engineering for data tasks
  • ChatGPT / Claude for EDA
  • AI-assisted data cleaning & preprocessing
  • Writing & debugging SQL with AI
  • Copilot in Excel for automation
  • Power BI Copilot for dashboards
  • Automating repetitive analytics tasks
  • NLP, embeddings, LLM fine-tuning
  • Neural networks, CNN, RNN, LSTM
  • Deploying models with Flask / FastAPI
  • Responsible AI: bias, privacy, XAI
R Programming for Analytics
1 Topic
  • R basics, variables, data types
  • Operators, conditionals, loops, functions
  • Vectors, lists, matrices
  • Data frames and factors
  • Import, export and manipulation
  • Data cleaning in R
Visualisation with ggplot2
1 Topic
  • Introduction to ggplot2 grammar
  • Bar charts, histograms, box plots
  • Scatter plots and line charts
  • Themes, labels and annotations
  • Multiple plots and facets
Business Intelligence with Looker
1 Topic
  • Looker interface & navigation
  • Connecting data sources
  • Reports, dashboards, filters
  • Measures and visualisations
  • LookML basics
  • Sharing & scheduling reports
MATLAB for Data Analysis
1 Topic
  • MATLAB environment & interface
  • Arrays, matrices and operators
  • Conditionals, loops and functions
  • Data import, export, manipulation
  • Visualisation & statistical analysis
TOOLS YOU'LL USE

18 Tools You'll Practise With

Python
pandas
NumPy
Matplotlib
Seaborn
SQL
MySQL
PostgreSQL
Advanced Excel
Power Query
Power BI + DAX
Tableau
ChatGPT
GitHub Copilot
Power BI Copilot
Jupyter
Git & GitHub
R / ggplot2
WHO IS THIS COURSE FOR?

Built for Every Serious Learner

Students & Freshers

Ideal for graduates who want a job-ready data analytics portfolio before campus placements or their first application.

Working Professionals

Balance your job and upskilling with flexible, self-paced learning you can fit around your schedule.

Career Switchers

Move into analytics from a non-technical background — the course starts from zero coding experience.

Founders & Marketers

Learn to read your own business data in Excel, SQL and dashboards instead of waiting on an analyst.

FREE RESOURCES

Learn from our YouTube Channel

Expert-led sessions, career guidance & industry insights to help you grow and stay ahead.

View more

Expert-Led Sessions

Learn directly from industry experts and mentors.

Career & Industry Insights

Stay updated with the latest trends and opportunities.

Practical Learning

Watch real-world projects and practical demonstrations.

Skill Enhancement

Build in-demand skills and advance your career.

Interview & Placement Tips

Get expert tips to crack interviews and get placed.

Subscribe to Data Analytics Playlist!
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Free Demo & Career Mentoring Session | Data Analytics

12.5K views • 2 weeks ago

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Career Mentoring Session | Data Analytics with AI

18.3K views • 1 month ago

Data Science / Analytics and Business Analytics full guide video thumbnail

Data Science / Analytics & Business Analytics | Full Guide

22.1K views • 3 weeks ago

STUDENT REVIEWS

What Our Students Say

“The step-by-step SQL and Power BI modules got me interview-ready faster than I expected.”
- Riya Sharma
Data Analytics learner, recorded batch
“The Gen AI module is the part recruiters asked about. I could explain how I verify a generated SQL query.”
- Tarun Iyengar
Mechanical engineering graduate
“Lifetime access is the real value. I revised the Power BI module a year later, the night before an interview.”
- Nabeela Firdaus
Career-break returner

Ratings shown are an aggregate across Uncodemy's course review pages — see the full, verifiable review list.

Questions

Frequently asked questions

What exactly do I pay — is ₹2,999 the final price?

₹2,999 is the course fee. 18% GST (₹539.82) is added at checkout, so the total amount charged is ₹3,538.82, shown as an order summary before you pay and again on the Razorpay screen. This is a one-time payment — there is no renewal, subscription or hidden add-on.

Is the access really lifetime?

Yes. It is a one-time payment with no expiry date, no renewal fee and no watch-time limit. You log in with the same account years later and every lesson, note and dataset is still there — including any new lessons we add to the course.

How does the upgrade to Live training work?

Inside your student dashboard there is an Upgrade to Live button. It shows the live fee (₹20,650, GST incl.) minus what you already paid (₹3,539), so you pay only ₹17,111 more. Once paid, you are added to the next live batch with full doubt sessions, mock interviews and placement support. There is no deadline on the upgrade.

What is the difference between recorded and live?

The recorded course gives you the full syllabus, 12 projects and a certificate at your own pace. The live batch adds real trainers in class, a daily one-hour doubt session, 6 recorded mock interviews, resume and portfolio rebuild, and 12 months of placement support.

Do I get a certificate with the recorded course?

Yes. After you complete all modules and submit the 12 projects, you receive a course completion certificate with an online verification ID that any recruiter can check. It lists the modules, tools and your capstone project title.

Can I ask doubts in the recorded course?

Yes, through the learner community, where our support team replies within 24–48 hours on working days. Live, same-day doubt-clearing with a trainer is part of the Live plan, not the recorded plan.

Do I need a coding background?

No. The course starts with plain Python basics and assumes zero programming experience. Nearly half of our learners come from non-engineering degrees. You need basic maths and about 5–6 hours a week.

Are datasets and code files included?

Yes. Every module ships with downloadable notes, datasets, SQL scripts and Jupyter notebooks, so you can practise alongside the lesson instead of just watching.

How quickly do I get access after paying, and what is your refund policy?

Login details land in your email within about two minutes of a successful payment. If they do not, write to info@uncodemy.com and we will fix it the same day. Read our full refund policy before you buy — it covers the eligibility window, course-progress conditions and processing timeline for this recorded course.

Start today for ₹3,539.
Go live whenever you want.

₹2,999 + GST (₹3,538.82 total) · Instant Access · Refund policy applies

₹3,539incl. GST
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