28 Sections
67 Lessons
10 Weeks
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Course 1: Introduction to Business Analytics
0
Introduction to Business Analytics
1
2.1
Understanding different fields in business, where analytics is being used
Data Driven Finance
1
3.1
Understanding between Data Driven Finance & Traditional Finance
Obtaining Fundamental Data
1
4.1
Understanding the different types of data we encounter in finance
Course 2: Preparing Business-Ready Data using Excel
0
Key Business Questions
3
6.1
How do I clean and unify inconsistent data from multiple sources?
6.2
How do I automate reports and dashboards for recurring business needs?
6.3
Can I use Excel to model business scenarios and make data-backed decisions?
Advanced Excel for Data Structuring
Master core Excel functions used in business analysis:
3
7.1
Logical functions: IF, IFS, AND, OR
7.2
Lookup functions: VLOOKUP, INDEX, MATCH, XLOOKUP
7.3
Text & Date handling: TEXTJOIN, LEFT/RIGHT, DATEDIF
Summarizing & Visualizing Business Metrics
3
8.1
Create dynamic summaries using PivotTables & Pivot Charts
8.2
Apply business logic through Conditional Formatting and Data Validation
8.3
Build an interactive performance dashboard
Modelling Scenarios & Workflow Automation
2
9.1
Use What-If Analysis (Goal Seek, Data Tables, Scenario Manager) for forecasting
9.2
Optimize resource allocation using Solver Add-in
Projects
6
10.1
Data Cleaning & Preparation in Excel
10.2
Sales Analysis Dashboard
10.3
Advanced Data Filtering
10.4
Bank Marketing Campaign Report
10.5
Human Resource Dashboard
10.6
Project Management Analysis
Course 3: Business Data Querying using SQL
0
Key Business Questions
3
12.1
How do I retrieve and analyse data directly from a company’s database?
12.2
How do I rank, compare, and group business metrics using SQL?
12.3
How can I join multiple tables to build a complete picture of customer behaviour?
Database Foundations for Business Analysts
2
13.1
Understand relational database structure: Tables, Keys, Relationships
13.2
Query essentials: SELECT, WHERE, ORDER BY, IN, BETWEEN
Aggregation & Joining for Insight Generation
3
14.1
Group-level analysis with GROUP BY, HAVING
14.2
Combine datasets using INNER JOIN, LEFT JOIN, RIGHT JOIN
14.3
Business use cases: Revenue by category, high-spend customers
Advanced SQL for Business Intelligence
3
15.1
Multi-step logic with Subqueries and CTEs
15.2
Perform comparisons over time using Window Functions
15.3
Conditional business logic using CASE statements
Projects
6
16.1
Walmart Sales SQL Analysis
16.2
Fasos Orders Analysis
16.3
Zomato Orders SQL Report
16.4
Data Cleaning with SQL Project
16.5
OLA Project in SQL
16.6
Analyse customer & revenue trends in a digital music store
Course 4: Business Intelligence using Power BI
0
Key Business Questions
3
18.1
How can I create a real-time dashboard that tracks sales performance?
18.2
How do I build a scalable reporting system for business leaders?
18.3
How do I apply business rules to create dynamic KPIs?
Introduction to Power BI & Power Query
3
19.1
Power BI Ecosystem (Desktop, Service, Mobile)
19.2
Connect to Excel, CSV, and SQL Server data
19.3
Clean, merge, and structure data using Power Query Editor
Visualization & Report Design
3
20.1
Formatting, themes, and report layout.
20.2
Choosing the right visuals for your data.
20.3
Interactivity: Slicers, filters, bookmarks, and drill-through.
Working with DAX Functions
3
21.1
Calculated Columns vs. Measures
21.2
DAX Functions: SUM, AVERAGE, COUNT, DISTINCTCOUNT
21.3
Date, Time & Text based DAX Functions
Projects
6
22.1
Telecom Industry Churn Analysis
22.2
OLA Cabs Analysis Report
22.3
BLINKIT Analysis Report
22.4
Bike Buyer Report in Power BI
22.5
Company Cost Calculation
22.6
Employee HR Dashboard
Course 5: AI with Analysis
8
23.1
AI for Data-Driven Decision-Making
23.2
From Data to Decisions: Data Cleaning and Analysis With AI
23.3
Generating structured reports for decision-making
23.4
Data Detective: Using AI for Exploratory Data Analysis (EDA)
23.5
From Data to Story: Tailoring Your Narrative
23.6
From Data to Story: Visual Storytelling
23.7
AI for Problem Solving: The SOLVE Framework
23.8
Presenting Your Data Story: From Report to Impact
Course 6: EDA Projects
0
Case Study – Toy Company
1
25.1
Learners analyse sales performance data for a toy company to uncover regional and seasonal trends. The project focuses on identifying topperforming products, understanding demand fluctuations, and supporting strategic decisions in inventory management and targeted marketing.
Hotel Booking Report
1
26.1
This project involves exploring hotel booking data to identify guest behaviour patterns, cancellation trends, and booking lead times. The analysis supports data-driven strategies for improving occupancy rates, reducing cancellations, and enhancing customer segmentation.
OTT Platform Analysis
1
27.1
Learners work with data from a streaming platform to examine user engagement, content consumption habits, and churn behaviour. The project aims to generate actionable insights that inform content recommendations, user retention efforts, and platform growth strategies.
Loan Prediction Project
1
28.1
In this project, learners analyze historical loan application data to predict approval outcomes and assess borrower risk. The focus is on uncovering key factors that influence approval decisions and building data-backed profiles to support risk management in lending.
Business analytics course
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