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Data Analytics with AI

Almost every company now needs people who can turn data into decisions, and the job of an analyst has changed. Employers expect analysts who can clean data in Excel, write SQL, build Power BI dashboards and automate reports with Python, and who use AI assistants to work faster without trusting them blindly. This course teaches that full toolkit through business case studies from banking, retail and operations. You finish with a portfolio of dashboards and analyses and practice explaining your insights the way interviewers expect.

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Live Online Classes, Weekday or Weekend Batches
Excel, SQL, Power BI and Python
AI Assistants Built into Every Module
Banking, Retail and Operations Case Studies
Portfolio of Dashboards and Analyses
Mock Interviews and Resume Review

Course Fee

₹ 40,000/ 4 Months

Limited seats available for next batch.

What you'll be able to do

  • Clean, combine and summarise data in Excel with Power Query and PivotTables
  • Answer business questions in SQL with joins, CTEs and window functions
  • Build interactive Power BI dashboards with a proper data model and DAX
  • Analyse and visualise data in Python with pandas
  • Use AI assistants to draft SQL, formulas and summaries, and check their work
  • Present a business case study from raw data to recommendation

Who this is for

  • Fresh graduates from any stream, including commerce, science and engineering
  • Working professionals in banking, finance, operations or sales who handle reports
  • Career switchers who want an analytics role without a heavy coding path

Before you join

  • Any graduate or final-year student; no coding experience required
  • Basic comfort with computers and spreadsheets
  • A laptop that can run Excel and Power BI Desktop (Windows recommended)
BF

BIGXSTAR Faculty

Practising Software Engineers

Taught by engineers who build and ship software for a living. Every lab is reviewed the way a pull request is reviewed at work.

Curriculum

1Analytics Foundations & Excel3 Weeks

Key Takeaways:

The Analyst Workflow: Question, Data, Insight, Decision
Cleaning Data, Text and Date Functions
XLOOKUP, Conditional Logic and Named Ranges
PivotTables, Charts and Excel Dashboards
Power Query for Repeatable Data Preparation
Copilot and AI Assistants in Excel

2SQL for Data Analysis3 Weeks

Key Takeaways:

Relational Databases and Tables
Filtering, Sorting and Aggregations
Joins Across Multiple Tables
Subqueries and Common Table Expressions
Window Functions for Rankings and Running Totals
Business Case Studies in SQL

3Statistics for Business Decisions1 Week

Key Takeaways:

Descriptive Statistics and Distributions
Sampling and Confidence
Correlation vs Causation
A/B Testing Basics

4Power BI3 Weeks

Key Takeaways:

Power Query in Power BI
Data Modelling and Star Schemas
DAX Measures and Time Intelligence
Designing Clear, Interactive Reports
Publishing, Sharing and Row-Level Security
Copilot in Power BI

5Python for Analytics3 Weeks

Key Takeaways:

Python Basics in Jupyter Notebooks
Data Wrangling with pandas
Visualisation with Matplotlib and Seaborn
Automating a Weekly Report
Exploratory Data Analysis Project

6AI for Analysts1 Week

Key Takeaways:

Drafting and Debugging SQL with AI
Natural-Language Questions over Data
Writing Insight Summaries with AI
Checking AI Output for Errors and Bias
Data Privacy When Using AI Tools

7Capstone & Career Preparation2 Weeks

Key Takeaways:

End-to-End Case Study: Raw Data to Recommendation
Portfolio on GitHub and Power BI Service
Resume and LinkedIn Review
Analyst Interview Questions and Mock Interviews
🏆

Data Analytics with AI Certificate

Awarded after completing the module assignments and the capstone case study.

Frequently Asked Questions

Can a non-IT or commerce graduate become a data analyst?
Yes. Many analysts come from commerce, finance and operations backgrounds. The course starts with Excel and builds up to SQL, Power BI and Python step by step, so no coding background is needed.
Is this data analytics course online?
Yes. Classes are live and instructor-led online, with weekday and weekend batches, so you can join from anywhere in India.
Which tools will I learn?
Microsoft Excel with Power Query, SQL (PostgreSQL or MySQL), Power BI with DAX, Python with pandas, and AI assistants such as Copilot for drafting formulas, queries and summaries.
How is this different from a data science course?
Data analytics focuses on answering business questions with data, using SQL, dashboards and reports. Data science adds machine learning and needs deeper maths and programming. For most freshers, analytics is the faster route to a first job.
Do you guarantee placement?
No. We help you build a portfolio of real analyses and dashboards and prepare you with resume review and mock interviews, so that you can show employers what you can do.
What is the fee for the Data Analytics with AI course?
The course fee is ₹40,000 for 4 months. Contact our admissions team for the next batch dates and payment options.