Advanced Business Analyst Program
Learn practical Business Analysis skills, including requirement gathering, process analysis, Excel, SQL, Power BI, reporting, and real-world business projects.
What's included
76
Lessons
Certificate
Become Job-Ready with Practical Business Analysis Skills
- Business Analyst
- Operations Analyst
- Product Analyst
- MIS Analyst
4 courses · 42h 10m · capstone project
₹3,999
Your path
Business Intelligence and Data Analysis Using Excel
0/10 lessons · 4h 33m
Foundation Course in Generative AI
0/13 lessons · 5h 16m
Unlocks when you finish the course above
Statistics: The Backbone of Data Analysis & Data Science
0/24 lessons · 9h 28m
Unlocks when you finish the course above
MySQL for Web and Application Development
0/28 lessons · 22h 53m
Unlocks when you finish the course above
Tools you will use
- Excel
- SQL
- Power BI
- Google Sheets
- AI
Capstone project
The program ends with one real project, reviewed by a person. You get the brief, the dataset and the submission form once you finish every course in the program.
Your certificate
SAMPLEThis is to certify that
has successfully completed the course
One certificate for the whole program, with a QR that anyone can scan to verify it. ₹3,999
Questions learners ask
Who can join this course?
Anyone interested in Business Analysis, including beginners and working professionals.
Do I need coding knowledge?
No. Basic computer knowledge is enough to start.
What tools will I learn?
Excel, SQL, Power BI, Tableau, Jira, Confluence, and Visio.
Will I get study material?
Yes. We provide structured notes, practice exercises, datasets, and project materials.
Will I work on real-world projects?
Yes. You will work on practical business cases and a final capstone project.
Will I learn requirement gathering?
Yes. You will learn requirements, documentation, process analysis, and stakeholder communication.
Will I learn Power BI and reporting?
Yes. You will create interactive dashboards and business reports.
Will I get a portfolio project?
Yes. You will complete a capstone project that can be added to your GitHub portfolio.
What job roles can I apply for?
Business Analyst, Business Process Analyst, Reporting Analyst, Operations Analyst, MIS Analyst, and Product Analyst.
Is this course suitable for beginners?
Yes. The course covers concepts step by step with practical exercises.
Will I receive practice datasets?
Yes. Datasets and business case studies are provided for hands-on practice.
What will I be able to do after completing the course?
You will be able to analyze business problems, gather requirements, create reports and dashboards, and present data-driven recommendations.
₹3,999
Course curriculum
76 lessons
Business Intelligence and Data Analysis Using Excel10 lessons
Excel Data Analysis Fundamentals
Data Cleaning and Preparation in Excel
Excel Formulas, Functions, and Logical Analysis
Lookup Functions and Data Referencing
Pivot Tables, Charts, and Dashboard Reporting
Advanced Data Analysis and What-If Analysis
Power Query and Data Transformation
Power Pivot, Data Modeling, and DAX
Excel Dashboard Design and Business Reporting
Excel Automation with Macros and VBA
Foundation Course in Generative AI13 lessons
Introduction to Generative AI
MODULE 2 — How Generative AI Works
MODULE 3 — AI Productivity Tools
MODULE 4 — Prompt Engineering Fundamentals
MODULE 5 — Advanced Prompting Techniques
MODULE 6 — AI for Research & Learning
MODULE 7 — AI for Content Creation
MODULE 8 — AI for Marketing & Branding
MODULE 9 — AI Voice & Audio Tools
MODULE 10 — AI Ethics & Responsible AI
MODULE 11 — Real-World AI Applications
MODULE 12 — Practical AI Projects
MODULE 13 — Career & Future Opportunities in AI
Statistics: The Backbone of Data Analysis & Data Science24 lessons
1. Introduction to Statistics & Data Science
2. Fundamentals of Mathematics for Statistics
3. Data Collection & Sampling Techniques
4. Descriptive Statistics
5. Data Visualization for Statistics
6. Probability Fundamentals
7. Probability Distributions
8. Inferential Statistics
9. Correlation & Covariance
10. Regression Analysis
11. Statistical Tests
12. Exploratory Data Analysis (EDA)
13. Feature Engineering & Statistical Pre-processing
14. Bayesian Statistics
15. Time Series Statistics
16. Multivariate Statistics
17. Statistical Machine Learning
18. Deep Statistical Concepts
19. Statistical Computing Tools
20. Real-World Statistical Applications
21. Advanced Research Statistics
22. Statistical Ethics & Responsible AI
23. Capstone Projects & Case Studies
24. Interview Preparation & Career Readiness
MySQL for Web and Application Development28 lessons
Chapter 1 : Database Foundations
Chapter 2 : Relational Model Terms
Chapter 3 : Types of Keys
Chapter 4 : Referential Integrity Rules
Chapter 5 : MySQL Overview
Chapter 6 : SQL Command Categories
Chapter 7 : MySQL Data Types
Chapter 8 : Numeric Data Types
Chapter 9 : Date & Special Types
Chapter 10 : String Data Types
Chapter 11 : Create Table & Constraints
Chapter 12 : Foreign Key Definition
Chapter 13 : Alter table
Chapter 14 : Constraints Reference & DROP TABLE
Chapter 15 : Insert Into
Chapter 16 : UPDATE & DELETE
Chapter 17 : SELECT Basics
Chapter 18 : LIKE & NULL
Chapter 19 : ORDER BY
Chapter 20 : Single-Row Functions
Chapter 21 : Aggregate Functions
Chapter 22 : GROUP BY & HAVING
Chapter 23 : SQL Joins
Chapter 24 — Set Operations
Chapter 25 : Practice Exercises
Chapter 26 : Advanced SQL Concepts
Chapter 27 : Database Normalization
Chapter 28 : Real-World Applications & Tools
Advanced Business Analyst Program1 lesson
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