Complete Data Analytics with AI: Job-Ready Program with Placement Assistance

Becoming a data analyst isn't about watching hundreds of hours of videos on random tools. It's about learning the right skills in the right order, building projects that prove you can do the job, and walking into interviews prepared. This program does all three.

You'll learn the complete data analyst toolkit live, from Advanced Excel to Power BI, SQL and Python, as one connected career track. AI is built into every module, so you learn to work the way modern analytics teams already do: faster, with AI as your assistant, and with the judgment to check its output.

You'll learn from a trainer who has worked as a data analyst in e-commerce and wealth management, presented to senior leadership at a large automobile company's head office, scored 96% on the Microsoft PL-300 Power BI exam, and trains corporate teams in data and AI.

And when the training ends, the preparation doesn't. You get placement assistance: resume building, LinkedIn and portfolio reviews, and mock interviews until you're ready for the real ones.

PROGRAM CURRICULUM: 60 live sessions · 12 weeks

Module 1: Data analytics foundations

• What a data analyst actually does, and the analytics workflow
• Types of data, KPIs and asking the right business questions
• Essential statistics: averages, distribution, correlation, outliers

Module 2: Advanced Excel with AI

• Data cleaning: TRIM, Text to Columns, Flash Fill, duplicates, dates
• Lookups and logic: XLOOKUP, INDEX-MATCH, IF, SUMIFS, COUNTIFS
• Pivot tables, slicers and calculated fields
• Interactive Excel dashboards
• Using AI to write formulas, find data issues and summarise reports

Module 3: Power BI (aligned to the PL-300 exam)

• Power Query: connect, clean and transform data
• Data modelling: star schema and relationships
• DAX: measures, CALCULATE, filter context, time intelligence
• Executive-ready reports and interactive dashboards
• Publishing, sharing and row-level security in Power BI Service

Module 4: SQL for data analysis

• SELECT, WHERE, ORDER BY, GROUP BY, HAVING
• JOINs across multiple tables
• Subqueries and CTEs
• Window functions: ranking, running totals, period comparisons
• Writing SQL faster with AI, and checking what it gives you

Module 5: Python for data analysis

• Python basics for analysts, no programming background needed
• Pandas: load, clean, filter, group and merge data
• NumPy for calculations
• Charts with Matplotlib and Seaborn
• Exploratory data analysis (EDA) on a real dataset
• Using AI to write and debug Python code

Module 6: AI across the analytics workflow

• Prompting for analysis: a framework that works in every tool
• Upload data to AI and verify its insights
• AI features inside Excel and Power BI
• Data privacy and responsible use of AI at work

Module 7: Real-world portfolio projects

• 15+ end-to-end projects on real business data (e.g. e-commerce sales, HR, finance)
• Each project goes from raw data to insights to a dashboard
• Publish your projects on GitHub and LinkedIn

Module 8: Placement assistance

• Resume building tailored for Data Analyst roles
• LinkedIn profile and portfolio review
• Interview question bank: Excel, SQL, Power BI, Python and case studies
• Mock technical and HR interviews with detailed feedback
• Job search strategy: where and how to apply

Who this program is for:

• Freshers and graduates from any background who want to start a data analyst career
• Career switchers from BPO, sales, operations, finance or other non-IT roles
• MIS and reporting professionals who want to move into analytics
• Working professionals who want a complete, structured path instead of scattered courses

No prior coding or analytics experience needed. Just a laptop and the commitment to practise.