Data Analytics Training Course With Gen AI — Uncodemy

Fresh Graduates

From any stream — B.Com, BBA, B.Sc, B.Tech, BA, BCA — entering analytics.

Working Professionals

In operations, sales, finance, HR or marketing formalising their data skills.

Career Changers

Moving from a non-technical role into a data role.

MIS & Reporting Executives

Moving up from Excel into SQL, Python and BI 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.

Module 3 — Python for Data Analytics

Python fundamentals; lists, tuples, dictionaries, sets, file operations; NumPy arrays and vectorised operations; Pandas Series/DataFrames — indexing, filtering, merging, grouping; handling missing values and duplicates; Matplotlib, Seaborn, Jupyter Notebook.

Module 4 — Statistics & Business Mathematics

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.

Module 7 — Tableau

Tableau architecture, data connection and blending; dimensions, measures, calculated fields; filters, groups, sets, hierarchies; parameters; reference lines, trend lines, forecasting; dashboards, actions, stories.

Module 8 — AI & Gen AI for Data Analysts

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

Download the complete course curriculum to explore all modules, topics, practical projects, learning outcomes, tools, and career-focused training covered throughout the program.

Download Curriculum

Program Completion

A record of successful completion of the Data Analytics program.

Online Verification

The certificate includes a verification reference checkable online at certificate.uncodemy.com.

Practical Learning

Assignments, projects and a capstone project using real Data Analytics tools.

Excel

Tableau

Power BI

NumPy

Python

Pandas

SQL

Statistics

ChatGPT

Copilot

Build Excel Depth

Lookups, pivot tables and Power Query, since Excel remains the fastest tool for quick, ad-hoc business questions.

Learn SQL to a Working Standard

Joins, aggregations, subqueries and window functions, because almost every analytics role starts with pulling and shaping data from a database.

Add Python for Scale

Pandas and NumPy for datasets Excel cannot handle, plus basic automation of repetitive reporting tasks.

Learn Statistics

Enough to run a hypothesis test and read a regression output, so conclusions hold up when questioned.

Master One BI Tool

Power BI or Tableau, to dashboard level, including DAX or calculated fields for advanced logic.

Build 3–5 Portfolio Projects

Each with a business question and a recommendation, ideally drawn from a sector of interest.

Prepare and Apply

SQL practice, case-study rehearsal, a targeted resume and LinkedIn profile highlighting outcomes, not just tools.

Classroom

Works well for face-to-face doubt-clearing and the structure of a fixed place and time. Available at Uncodemy's own centres in Noida (Sector 1) and Delhi (Laxmi Nagar, Shakarpur Extension).

Live Online

Suits anyone outside easy reach of Noida or Delhi, or working professionals fitting classes around a job.

Hybrid

Flexibility with occasional in-person sessions, handy for learners whose week doesn't follow a fixed pattern but who still want some time with trainers and batchmates.

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.