Become a job-ready Data Analyst with AI
Master Excel, SQL, Power BI, Tableau and Python for analytics — then go further and turn data into AI-powered insights with LLM analytics, natural-language querying and AI copilots, backed by projects and interview coaching that carry you to the offer.
Still deciding? Talk to a mentor first.
A free 15-minute call to map your path to a job-ready Data Analyst with AI — honest guidance, zero pressure.
- Personalised learning roadmap
- Full syllabus, batch dates & fees
- Scholarships & no-cost EMI options
- Placement & interview support
Request a free call
Fill this in and our team will call you back within one business day.
Your details stay private. No spam, ever.
The most in-demand skill, now
supercharged with AI
Every business runs on data — sales, finance, marketing, operations — and every team needs someone who can turn it into decisions. Now AI is changing how that work is done: natural-language querying, AI copilots in Power BI and LLM-generated summaries. Pair the classic analytics toolkit with the ability to work alongside AI, and you become the analyst teams are competing to hire.
Data Analyst is among the most-hired entry roles across every industry — banking, retail, healthcare and IT.
AI copilots and natural-language querying are reshaping analytics — analysts who can use them stand out.
Portfolio projects — including AI-assisted dashboards — you can walk an interviewer through insight by insight.
Start from Excel with no programming background — you learn the tools that do the heavy lifting.
Built for four kinds
of people
Whatever you’re starting from, the course begins at fundamentals — Excel first, no coding assumed — and takes you to job-ready, with the AI skills employers now expect.
Students & freshers
Final-year students and recent graduates from any stream who want a real skill and a portfolio before applying.
Non-IT career switchers
Coming from a non-technical background. We start with Excel and basics — no coding experience assumed.
Working professionals
MIS, operations, finance and support staff who already work with data and want to move into a proper analyst role. Weekend batches available.
Aspiring analysts
You know a bit of Excel or SQL but need structure, real dashboards and someone to review your work properly.
Four phases, twelve modules,
one AI-ready analyst
Every module ends in hands-on work with real datasets. Nothing here is theory-only.
Analytics foundation
Start from spreadsheets and finish able to explore, summarise and query data with confidence — Excel, statistics and SQL, the everyday tools of the job.
Advanced Excel for analytics
Weeks 1–2Formulas & functions·Lookups (XLOOKUP, INDEX-MATCH)·PivotTables & PivotCharts·Conditional formatting·Data validation·What-if analysis·Dashboards in Excel·Power Query basics
Statistics for analytics
Weeks 2–4Descriptive statistics·Mean, median & distribution·Variability & outliers·Correlation·Probability basics·Hypothesis testing·Sampling·Reading data honestly
SQL for data analysis
Weeks 4–5RDBMS concepts·SELECT & filtering·Joins & subqueries·Aggregations & GROUP BY·Window functions·CTEs·Writing analytical queries·MySQL / PostgreSQL
Data prep & business intelligence
Clean messy data the way real analysts do, then build interactive dashboards in Power BI with a proper data model behind them.
Data cleaning & preparation
Weeks 5–7Data quality issues·Handling missing values·Deduplication·Data types & formats·Power Query transformations·Merging & appending·ETL basics·Preparing data for analysis
Power BI dashboards
Weeks 7–8Connecting data sources·Visual types & charts·Filters & slicers·Interactive reports·Drill-through·Bookmarks·Design & layout·Publishing & sharing
Data modeling & DAX
Weeks 8–10Star schema & relationships·Calculated columns·Measures·DAX functions·Time intelligence·KPIs & row-level security·Optimising models·Best practices
Visualisation & Python for analytics
Broaden your toolkit with Tableau and Python, then learn to turn charts into a story a decision-maker acts on.
Tableau
Weeks 10–12Connecting data·Dimensions & measures·Charts & maps·Calculated fields·Parameters & filters·Dashboards & stories·Publishing to Tableau Public·Power BI vs Tableau
Python for analytics
Weeks 12–14Python basics·Pandas DataFrames·Cleaning & wrangling·GroupBy & aggregation·NumPy·Matplotlib & Seaborn·Exploratory data analysis·Jupyter notebooks
Data storytelling & reporting
Weeks 14–15Choosing the right chart·Dashboard design principles·From data to insight·Framing a narrative·Presenting to stakeholders·Executive summaries·Avoiding misleading visuals·Report writing
Gen AI, Agentic AI & career
Put AI to work across your whole analytics process — then build an AI-assisted capstone and get interview-ready.
AI foundations for analysts
Weeks 15–17How LLMs work·Tokens & embeddings·Prompt engineering for analysis·Summarising & explaining data with AI·Generating SQL & formulas from prompts·AI vs manual analysis·Data privacy & responsible AI·Checking AI output
Gen AI & Agentic AI for analytics
Weeks 17–19Natural-language querying (ask your data)·AI copilots in Power BI & Excel·Retrieval-Augmented Generation (RAG) over business data·Automated insights & narratives·Building analytics agents·Connecting AI to data sources·Workflow automation·Guardrails & accuracy
AI-assisted capstone & interview prep
Weeks 19–20End-to-end analytics project·AI-assisted dashboard build·Git & GitHub·Portfolio & resume·Analytics case studies·SQL & Excel interview drills·Business scenario questions·Mock interviews
Want the full module-by-module syllabus?
We’ll send the complete curriculum PDF along with batch dates and fee details.
You graduate with a
portfolio, not just notes
Four complete analytics builds — including AI-assisted ones — created the way real teams work: cleaned, modelled, visualised and presented.
Interactive Power BI dashboard
A business KPI dashboard — sales, revenue and trends — with a clean data model, DAX measures, slicers and drill-through built on a real dataset.
SQL + Excel business analysis
Query a database to answer real business questions, then summarise the findings in an Excel report with PivotTables and a management-ready summary.
AI-assisted insights tool
Build a natural-language layer over a dataset — ask questions in plain English and get LLM-generated summaries, charts and explanations back.
Capstone — AI-powered analytics project
Scope, clean, analyse and present an end-to-end analytics project of your choosing, using AI copilots and agents throughout, with mentor review at every stage.
The complete
analytics stack
Spreadsheets & statistics
- Advanced Excel
- PivotTables
- Power Query
- Descriptive statistics
- Hypothesis testing
- Correlation
Databases & SQL
- SQL
- MySQL
- PostgreSQL
- Joins & subqueries
- Window functions
- Query optimisation
BI & dashboards
- Power BI
- DAX
- Data modeling
- Tableau
- Time intelligence
- Report design
Python for analytics
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter
AI & Generative AI
- LLM analytics
- Prompt engineering
- Natural-language querying
- AI copilots (Power BI & Excel)
- RAG
- Analytics agents
- Automated insights
Workflow & tools
- Git & GitHub
- Excel & Google Sheets
- Power BI Service
- Tableau Public
- ChatGPT & Copilot
- Data storytelling
Roles you can apply for
when you finish
The same skill set opens several doors — from core analyst roles to the AI-augmented analytics titles employers now advertise.
Data Analyst
Explore, clean and analyse data to answer business questions and build the reports teams rely on.
Business Intelligence (BI) Analyst
Design dashboards and data models in Power BI and Tableau that turn raw data into decisions.
Business Analyst
Bridge business and data — gather requirements, analyse processes and recommend improvements.
Analytics Engineer
Build the SQL models and pipelines that feed clean, trusted data into reporting tools.
Reporting Analyst
Own recurring reports and KPIs, automating them and keeping stakeholders informed.
Insights / MIS Analyst
Combine data across sources into insight, increasingly with AI copilots and natural-language tools.
Resume & portfolio
We rewrite your resume around your dashboards and projects, and set up a portfolio that reads well to a reviewer.
Interview drills
SQL, Excel, Power BI, statistics and business-case question banks, practised until the answers are automatic.
Mock interviews
Technical and HR rounds with working analysts, followed by honest feedback.
Hiring introductions
Your profile shared with our hiring-partner network as suitable roles open up.
Pick a batch
that fits your week
EDIT: replace the dates and timings below with your actual batch schedule.
Weekday morning batch
Weekday evening batch
Weekend batch — for working professionals
What every enrolment includes
- Live instructor-led sessions with recordings for revision
- Small batches with dedicated doubt-clearing time
- Four portfolio projects — including AI-assisted dashboards — with mentor review
- Resume building and mock interview rounds
- Placement assistance that continues after your last class
- Course completion certificate
Everything you’re
probably wondering
EDIT the answers to match DSU’s actual policies before publishing.
No. The course is beginner-friendly and starts with Advanced Excel — no programming assumed. Most of the work is no-code or low-code (Excel, Power BI, Tableau, SQL), and the statistics we teach are practical, not heavy maths. Python comes later and is taught from scratch. Many of our analytics learners come from non-IT backgrounds.
The program runs 4–5 months and covers Excel, SQL, Power BI, Tableau, Python and the Gen AI & Agentic AI modules. Weekday batches are two hours a day; weekend batches are three hours per day across Saturday and Sunday. Plan for a similar amount of practice time outside class on real datasets — that’s where the learning consolidates.
EDIT: state your fee here, along with any instalment or EMI options. Being upfront about pricing on this page will improve enquiry quality — people who can’t find a price often assume the worst and leave.
We provide placement assistance — resume preparation, mock interviews and introductions to our hiring-partner network — and that support continues after your final class. We don’t promise a guaranteed job, because no honest training provider can. What we can promise is that you’ll finish interview-ready with real dashboards and projects to show. EDIT this to match your policy exactly.
Yes. Book a free demo session and a one-to-one counselling call. You’ll meet the trainer, see how a session runs and get the full syllabus before committing to anything.
Every class is recorded and available to you, so you can catch up on your own schedule. You can also raise anything unclear in the dedicated doubt-clearing sessions.
No AI background needed — the AI modules start from the basics: how LLMs work, prompt engineering, and using AI copilots inside the analytics tools you already know. You’ll learn to query your data in plain English (natural-language querying), generate summaries and SQL with AI, apply RAG over business data, and build simple analytics agents that automate routine reporting. The focus is on using AI to work faster and smarter as an analyst — not on AI research. You get both the classic analytics skills employers hire for and the AI edge that sets you apart.
Become an AI-ready Data Analyst
Book a free counselling session. We’ll walk you through the syllabus, batch options and fees — and tell you honestly whether this course is right for you.