Business Analysis Pro: Become an Industry-Ready Analyst
Become a skilled Business Analyst with hands-on projects, real-world business scenarios, and a globally recognized certification — designed to launch high-impact careers in business strategy, analytics, and decision-making.
Unlock the power of Business Analysis and Product Management with our expert-designed program tailored for aspiring professionals. Master top tools like Excel, SQL, Power BI,Python, Jira, and UML while developing key skills in SDLC, data visualization, and business analytics. Get hands-on experience through 30+ industry projects and a comprehensive capstone project, simulating real-world business challenges. Learn to gather requirements, build dashboards, model business processes, and deliver data-driven insights using top industry practices. Benefit from a rich learning experience featuring 1:1 mentorship, self-paced content, and career support including resume building and interview. Step confidently into high-demand roles as a Business Analyst, Product Manager, or Data Analyst, equipped with practical knowledge and a job-ready portfolio that sets you apart in today’s competitive market.
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Key Highlights
60+ live interactive session over the course of 6 months
Exclusive access to our Career Portal
170+ hrs of Live interactive Sessions
Live sessions with NIT Faculy and Industry Expert
24/7 Support
Industry-Curated Curriculum
50+ Industry level Projects & Assesments
100% Job Assistance
Course content
Module 1: Excel Basics
- Introduction to Excel interface
- Workbook vs Worksheet
- Data entry and editing
- Cell referencing (Relative, Absolute, Mixed)
- Formatting cells, rows, and columns
Module 2: Essential Formulas & Functions
- Math functions: SUM, AVERAGE, MIN, MAX, COUNT
- Logical functions: IF, AND, OR, NOT
- Lookup functions: VLOOKUP, HLOOKUP, INDEX, MATCH, XLOOKUP
- Text functions: CONCATENATE, LEFT, RIGHT, MID, LEN, TRIM
- Date & Time functions: TODAY, NOW, DATEDIF, EOMONTH
Module 3: Data Management
- Sorting and Filtering
- Data Validation
- Conditional Formatting
- Removing duplicates
- Flash Fill
Module 4: Charts and Visualization
- Bar, Column, Line, Pie, Area Charts
- Combo Charts
- Pivot Charts
- Sparklines
Module 5: Advanced Excel
- Pivot Tables & Pivot Charts
- Slicers and Timelines
- What-If Analysis: Goal Seek, Data Tables, Scenario Manager
- Dynamic Named Ranges
- Power Query (Get & Transform)
Module 6: Excel Automation
- Introduction to Macros
- Recording basic Macros
- Introduction to VBA
Module 7: SQL Basics
- Introduction to Databases and RDBMS
- SQL Syntax and Data Types
- Creating and Modifying Tables (CREATE, ALTER, DROP)
- CRUD Operations (INSERT, SELECT, UPDATE, DELETE)
Module 8: Querying Data
- SELECT with WHERE, ORDER BY, LIMIT
- Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
- GROUP BY and HAVING clauses
Module 9: Advanced SQL
- Joins: INNER, LEFT, RIGHT, FULL, SELF JOIN
- Subqueries (Single-row & Multi-row)
- Set Operations: UNION, INTERSECT, EXCEPT
- Case Statements
Module 10: Data Manipulation
- Constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK
- Indexes
- Views and Materialized Views
- Transactions and ACID properties
- Triggers and Stored Procedures (Intro)
Module 11: SQL for Analytics
- Window Functions: ROW_NUMBER, RANK, DENSE_RANK
- CTEs (Common Table Expressions)
- Time Series Analysis
- Data Cleaning using SQL
- Performance Tuning Basics
Module 12: Core Business Analysis Skills
- Introduction to Business Analysis
- Business Analysis Concepts and Knowledge Areas
- Requirement Lifecycle Management and Strategy Analysis
- Requirement Analysis, Design Definition, Model Requirements, and Solution Evaluation
- Agile Business Perspectives and Creating UML
- Understand BA Role on the Agile Team
- Underlying Competencies of a Business Analyst & Microsoft Visio
Module 13: Data Visualization with Power BI
- Introduction to Power BI
- Data Extraction
- Data Transformation Shaping & Combining Data
- Data Modelling & DAX
- Data Visualization with analytics
- Power BI Service (Cloud), Q&A, and Data Insights
- Power BI Settings, Administration & Direct Connectivity
- Embedded Power BI with API & Power BI
- Power BI Advance & Power BI Premium
Module 14: Business Data Analytics
- Data Science and Analytics Fundamentals
- Buiness Analysis and Data Analytics
- Business Data Analytics Domains: Introduction
- Identifying the Research Questions
- Source Data
- Data Analysis
- Interpreting and Reporting Results
- Using Results to Influence Business Decision-making
Module 15: Agile Methodologies for Project Management
- Introduction to Agile Scrum
- Scrum Team and Artifacts and Events
- Project Management Using Jira
Module 16: UML 2.0
- Class Diagram
- Component Diagram
- Composite Structure Diagram
- Deployment Diagram
- Object Diagram
- Package Diagram
- Profile Diagram
- Activity Diagram
- State Machine Diagram
- Use case diagram
- Communication diagram
- Interaction overview diagram
- Sequence diagram
- Timing diagram
Module 17: Career Essentials
- Communication skills
- Leadership skills
- Problem-solving skills
- Business knowledge
- IT knowledge
Module 18: Data analysis with python
- Python Environment Setup and Essentials
- Python language Basic Constructs
- OOP Concepts in Python
- Database Connection
- NumPy for Mathematical Computing
- SciPy for Scientific Computing
- Matplotlib for Data Visualization
- Pandas for Data Analysis and Machine Learning
Module 19: Introduction to MongoDB
- What is NoSQL?
- Types of NoSQL Databases
- Overview of MongoDB
- Features and Benefits of MongoDB
- MongoDB vs Relational Databases
- Installation of MongoDB (Windows, Mac, Linux)
Module 20 : MongoDB Basics
- MongoDB Architecture
- JSON, BSON and Document Structure
- MongoDB Data Types
- Creating a Database and Collections
- Inserting Documents into Collections
- Basic Commands: db, show dbs, use, db.collection.insertOne(), insertMany()
Module 21: CRUD Operations
- Reading Data: find(), findOne()
- Filtering Data with Query Operators ($gt, $lt, $in, etc.)
- Updating Documents: updateOne(), updateMany(), $set, $inc
- Deleting Documents: deleteOne(), deleteMany()
Module 22: Indexing and Performance
- Importance of Indexes
- Creating Indexes: createIndex()
- Compound Indexes
- Unique Indexes
- Index Performance Optimization
Module 23: Aggregation Framework
- Aggregation Pipeline Overview
- Stages: $match, $group, $project, $sort, $limit, $skip
- Using $lookup for Joins
- $unwind, $addFields, $count
- Performance Tips in Aggregation
Module 24: Data Modeling in MongoDB
- One-to-One, One-to-Many, and Many-to-Many Relationships
- Embedding vs Referencing
- Schema Design Best Practices
- Normalization vs Denormalization in MongoDB
Module 25: Capstone Project
- Substantiate your learning experience and Business Analysis skills via this practical, industry-based capstone project based on our course and showcase your skills in the field of Product Management and Business Analysis.
Skills to master
SDLC
Agile Business
UML Diagrams
Agile Scrum
SQL
Analytics
Entity Relationship Model
Python
PyNum
Data Visualization
Tools to master
Roles to work as
Bussiness Analyst
Bussiness Intelligence
Bussiness Intelligence Specialist
Product Solution Analyst
Project Management
Product Analyst
User Expericence Expert
Bussiness Case Solution Specialist
Career Services
Mock Interview Preparation
Priority Access to Career Services
1 : 1 Career Mentorship
Job Board -- Resume Building
100% Placement Assistance
Soft-Skill Training
Profile Building
Certificate of Completion
🎓 Certification Sample
Get a glimpse of the professional certificate you’ll receive upon course completion. Issued by Workpreneur Academy, it validates your expertise in Business Analytics, and showcases your skills to employers worldwide.
Testimonials from Industry Leaders
Course Queries Answered
Who is this Business Analyst course designed for?
This course is ideal for aspiring business analysts, project managers, recent graduates, and professionals from any background looking to pivot into business analysis roles. No prior experience in analytics or tech is required—just a passion for solving problems and improving business outcomes.
What skills will I gain from this course?
You’ll learn key business analysis skills such as requirement gathering, process modeling, stakeholder communication, and data-driven decision-making. The course also covers tools like Excel, SQL, Power BI, and industry-standard frameworks like Agile and Scrum.
What is the structure and duration of the program?
This is a structured program designed to be completed in 16 weeks. It includes step-by-step learning modules, practical assignments, real-world business case studies, and a final capstone project to showcase your skills.
Will I receive a certificate and job support after completion?
Yes! Upon completion, you’ll receive a globally recognized certificate that validates your skills. You'll also get access to job placement support, resume reviews, interview coaching, and networking opportunities to help you land your ideal business analyst role.
What kind of support is available during the course?
You’ll receive 1:1 mentorship, live doubt-clearing sessions, career counseling, and 24/7 learner support. Whether you’re struggling with a concept or need help preparing for interviews, our expert team is here to guide you every step of the way.