Business Analytical Professional
in Analytics & BIAbout this course
Turn Raw Data Into Business Decisions That Matter
ProDAC's Business Analytics Professional Program takes you from spreadsheets to SQL, Python, Power BI and Advanced Excel in 72 hours of live, mentor-led learning, built for graduates and professionals who want a real shot at an analytics career.
Built for Career Outcomes, Not Just Course Completion
Every module, project and mentoring session is designed around one goal: making you genuinely employable as a business analyst.
Industry-Aligned Curriculum
Modules mirror the tools and workflows real analytics teams use daily: SQL, Power BI, Excel and Python, in that practical order.
Real Business Datasets
Practice on retail, banking, HR and e-commerce data, not toy datasets, so you learn to handle messy, real-world numbers.
Career-Readiness Sprints
Dedicated weeks for resume building, mock interviews and LinkedIn optimization, woven into the schedule, not an afterthought.
A Portfolio You Can Show
Leave with a portfolio of real-world projects and a capstone dashboard you can walk an interviewer through, step by step.
Structured Interview Prep
Practice answering both technical (SQL and Excel case studies) and business-case interview questions before you sit one for real.
Learn-by-Doing Format
Every concept is taught alongside a hands-on exercise. You build something in nearly every single session.
Where This Program Can Take You
Business analytics skills open doors across BFSI, retail, healthcare, e-commerce and SaaS: anywhere decisions need to be backed by data.
Indicative Salary Progression (India)
Indicative industry ranges, not a guarantee. Actuals vary by city, company and experience.
Organizations across banking, retail, healthcare and e-commerce are scaling up analytics teams to support faster, data-backed decisions, creating consistent demand for professionals who can turn numbers into business stories.
The Analytics Toolkit You'll Master
A focused, in-demand stack: real tools, real colors, hover to see the name.
Your 72-Hour Journey, Mapped Out
A deliberate progression from fundamentals to a portfolio-ready capstone, about 9-10 weeks at a steady, structured pace.
Foundation
Career groundwork, GitHub, Python & OOP basics
Intermediate
NumPy, Pandas, EDA & core SQL
Advanced
Power BI dashboards & Advanced Excel
Projects
Applied projects across industries
Career Ready
Capstone, resume & mock interviews
72 Hours, 8 Modules, Zero Filler
Tap any module to see exactly what you'll learn, build and submit.
Topics
- Resume building & LinkedIn setup
- GitHub basics & version control
- SDLC & Agile methodology
- Understanding the data ecosystem
Practical Exercises
- Create and push your first GitHub repository
- Set up a baseline analytics resume
Assignments
- Publish a GitHub profile README
- Complete a self-assessment of current skill gaps
Topics
- Variables, data types & control flow
- Functions & modules
- Lists, dictionaries, tuples & sets
- File handling & error handling
Practical Exercises
- Build a data-cleaning script for a messy CSV file
- Write reusable functions for common data tasks
Assignments
- Solve 20+ Python programming problems
- Build a simple command-line calculator
Topics
- Classes & objects
- Inheritance & encapsulation
- Polymorphism
- OOP design for data applications
Practical Exercises
- Model a retail inventory system using classes
Assignments
- Build a small OOP-based booking or inventory simulator
Topics
- NumPy arrays & vectorized operations
- Pandas Series & DataFrames
- Data cleaning & transformation
- Merging, joining & groupby aggregation
Practical Exercises
- Clean and transform a multi-sheet sales dataset
Assignments
- Build an automated data-cleaning pipeline for a retail dataset
Topics
- Descriptive statistics
- Univariate & bivariate analysis
- Outlier & correlation analysis
- Visualization basics
Practical Exercises
- Perform EDA on a customer transactions dataset
Assignments
- Submit an EDA report with 5 actionable business insights
Topics
- SELECT, filtering & sorting
- Joins & subqueries
- Aggregate functions & GROUP BY
- Window functions & CTEs
Practical Exercises
- Write 30+ business queries against a multi-table sales database
Assignments
- Build a SQL-based sales & customer analysis report
Topics
- Data import & Power Query
- Data modeling & relationships
- DAX fundamentals
- Interactive visuals, slicers & filters
Practical Exercises
- Build a multi-page interactive sales performance dashboard
Assignments
- Design a Power BI dashboard with KPIs and drill-downs for a business unit of your choice
Topics
- XLOOKUP, INDEX-MATCH & array formulas
- PivotTables & PivotCharts
- Conditional formatting & what-if analysis
- Dashboard building & macro basics
Practical Exercises
- Build a dynamic Excel dashboard with PivotTables and slicers
Assignments
- Automate a monthly reporting template using formulas
The Business Insights Capstone
One end-to-end engagement that mirrors a real analyst's week: pull data with SQL, clean and explore it in Python, build an executive Power BI dashboard, and summarize findings in a board-ready report, then present it live to a mentor panel, just like a real stakeholder review.
This is the project you'll lead with in interviews.
Pull raw business data from a relational database using SQL.
Use Python, Pandas and EDA to clean, transform and understand the data.
Build an executive-ready, interactive Power BI dashboard.
Walk a mentor panel through your findings and recommendations.
From Last Module to First Offer
Skill-building is half the journey. The other half is making sure you can sell those skills.
Resume Building
Craft a results-driven, analyst-ready resume that survives the first filter.
LinkedIn Optimization
Build a profile that recruiters actually find and message.
Mock Interviews
Practice live with technical and case-based interview rounds.
Portfolio Reviews
Get mentor feedback on every project before you ship it.
Career Mentoring
1:1 guidance on roles, companies and negotiation.
Aptitude Training
Sharpen the quantitative and logical reasoning most screening rounds test first.
Built for Every Starting Point
Hover over each path to see who it's built for. Whichever stage you're starting from, the curriculum meets you there.
Students & Freshers
Build job-ready analytics skills before you graduate, regardless of your degree stream.
Working Professionals
Reskill into analytics with weekend and evening batches that fit around your job.
Career Switchers
Move into analytics from a non-tech background with a structured, beginner-friendly path.
Entrepreneurs & Business Owners
Learn to read your own business data and make sharper, faster decisions.
Business Analytics Professional
Verify at prodac.iokode.com
A Certificate That Verifies Real Skill
Your ProDAC Certified Business Analytics Professional certificate is a digitally verifiable record of what you actually built.
Each certificate carries a unique ID that can be validated on ProDAC's verification page.
Add it directly to your profile to signal verified, project-backed skills to recruiters.
Comes with documented projects and a capstone as proof, alongside the certificate.
Ready to Accelerate Your Career?
Talk to our admissions team and find out if this program is the right next step for you.
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