Industry Analysis Courses

Week 1: Excel Fundamentals and Data Management (4 Hours)

Session 1 (2 Hours): Review of Excel Basics and Introduction to Advanced Features

Quick Refresher on Basic Excel Functions and Formulas

Introduction to Advanced Excel Features (e.g., PivotTables, Advanced Charting)

Session 2 (2 Hours): Data Management and Analysis in Excel

Data Import and Cleaning Techniques

Data Sorting, Filtering, and Conditional Formatting

Introduction to Data Validation and Data Protection Methods

Week 2: Advanced Formulas and Functions (6 Hours)

Session 3 (2 Hours): Mastering Complex Formulas

Advanced Use of Logical Functions (IF, AND, OR)

Lookup Functions (VLOOKUP, HLOOKUP, INDEX, MATCH)

Date and Time Functions

Session 4 (2 Hours): Dynamic Formulas and Array Functions

Understanding and Implementing Array Formulas

Introduction to Dynamic Named Ranges

Using TEXT and Other String Functions

Session 5 (2 Hours): Practical Exercise on Business Data Analysis

Hands-on Case Study using Complex Formulas

Analyzing Business Data with Advanced Excel Functions

Week 3: PivotTables, Data Visualization, and Introduction to Dashboards (6 Hours)

Session 6 (2 Hours): Mastering PivotTables and PivotCharts

In-depth Exploration of PivotTables

Advanced PivotTable Techniques (Grouping, Slicers, Calculated Fields)

Creating and Customizing PivotCharts

Session 7 (2 Hours): Advanced Data Visualization Techniques

Advanced Charting and Graphing Techniques

Creating Interactive Excel Dashboards

Visualization Best Practices

Session 8 (2 Hours): Real-world Business Analysis

Applying PivotTables and Visualization Techniques to Business Case Studies

Interactive Dashboard Creation Based on Real Data

Week 4: Financial Modeling and Advanced Applications (4 Hours)

Session 9 (2 Hours): Introduction to Financial Modeling in Excel

Basic Principles of Financial Modeling

Building Financial Models (Cash Flow, Budgeting, Forecasting)

Sensitivity Analysis using Data Tables and Scenario Manager

Session 10 (2 Hours): Capstone Project and Course Wrap-up

Applying Advanced Excel Skills to a Comprehensive Business Case

Group Project Presentations and Feedback

Course Review and Discussion on Further Learning Paths

Each session should include a mix of lectures, demonstrations, and hands-on exercises. The emphasis should be on practical application, using real-world business scenarios and case studies to ensure students understand how to apply their Excel skills in a business context. The final capstone project should encourage students to use all the skills they've learned to solve a complex business problem. This structure will ensure that MBA students gain not only technical proficiency in advanced Excel features but also the ability to apply these skills strategically in their professional roles.

Week 1: Introduction and Basics of Power BI (4 Hours)

Session 1 (2 Hours): Introduction to Business Intelligence and Power BI

Overview of Business Intelligence (BI)

Introduction to Power BI and its position in the market

Installing Power BI Desktop

Basic Navigation and Interface Overview

Session 2 (2 Hours): Getting Started with Power BI

Connecting to Data Sources

Basic Data Import and Transformation using Power Query

Introduction to Data Modeling

Week 2: Data Analysis and Visualization (6 Hours)

Session 3 (2 Hours): Deep Dive into Data Analysis

Advanced-Data Transformation Techniques

Understanding Data Types and Categories

Introduction to DAX (Data Analysis Expressions) Basics

Session 4 (2 Hours): Creating Basic Visuals

Exploring Various Visualization Types

Creating and Customizing Charts and Graphs

Using Slicers and Filters for Interactive Reports

Session 5 (2 Hours): Advanced Visualization Techniques

Advanced DAX for Complex Calculations

Creating Interactive Dashboards

Best Practices for Data Visualization

Week 3: Reporting and Dashboarding (6 Hours)

Session 6 (2 Hours): Effective Reporting

Designing Compelling Reports

Storytelling with Data

Incorporating MBA Concepts into Reports (e.g., Financial Ratios, Market Analysis)

Session 7 (2 Hours): Advanced Dashboard Features

Drill-through and Drill-down Capabilities

Conditional Formatting and Data Alerts

Q&A and Natural Language Queries

Session 8 (2 Hours): Publishing and Sharing

Publishing Reports to Power BI Service

Sharing Dashboards and Reports

Collaboration Features in Power BI

Week 4: Integration and Real-World Application (4 Hours)

Session 9 (2 Hours): Integrating Power BI with Other Tools

Integration with Excel and Other Microsoft Services

Connecting Power BI to External Databases

Overview of APIs and Embedded Analytics

Session 10 (2 Hours): Capstone Project and Course Wrap-up

Applying Skills to a Real-World Business Case

Creating a Full Report and Dashboard from Scratch

Course Recap and Further Learning Resources

Each session can include a mix of lectures, hands-on exercises, and real-world case studies to ensure that students not only learn the technical aspects of Power BI but also understand how to apply these skills in a business context. The capstone project in the final session should ideally be a comprehensive task that requires students to apply all the skills they've learned throughout the course.

Week 1: Excel Fundamentals and Data Management (4 Hours)

Session 1 (2 Hours): Review of Excel Basics and Introduction to Advanced Features

Quick Refresher on Basic Excel Functions and Formulas

Introduction to Advanced Excel Features (e.g., PivotTables, Advanced Charting)

Session 2 (2 Hours): Data Management and Analysis in Excel

Data Import and Cleaning Techniques

Data Sorting, Filtering, and Conditional Formatting

Introduction to Data Validation and Data Protection Methods

Week 2: Advanced Formulas and Functions (6 Hours)

Session 3 (2 Hours): Mastering Complex Formulas

Advanced Use of Logical Functions (IF, AND, OR)

Lookup Functions (VLOOKUP, HLOOKUP, INDEX, MATCH)

Date and Time Functions

Session 4 (2 Hours): Dynamic Formulas and Array Functions

Understanding and Implementing Array Formulas

Introduction to Dynamic Named Ranges

Using TEXT and Other String Functions

Session 5 (2 Hours): Practical Exercise on Business Data Analysis

Hands-on Case Study using Complex Formulas

Analyzing Business Data with Advanced Excel Functions

Week 3: PivotTables, Data Visualization, and Introduction to Dashboards (6 Hours)

Session 6 (2 Hours): Mastering PivotTables and PivotCharts

In-depth Exploration of PivotTables

Advanced PivotTable Techniques (Grouping, Slicers, Calculated Fields)

Creating and Customizing PivotCharts

Session 7 (2 Hours): Advanced Data Visualization Techniques

Advanced Charting and Graphing Techniques

Creating Interactive Excel Dashboards

Visualization Best Practices

Session 8 (2 Hours): Real-world Business Analysis

Applying PivotTables and Visualization Techniques to Business Case Studies

Interactive Dashboard Creation Based on Real Data

Week 4: Financial Modeling and Advanced Applications (4 Hours)

Session 9 (2 Hours): Introduction to Financial Modeling in Excel

Basic Principles of Financial Modeling

Building Financial Models (Cash Flow, Budgeting, Forecasting)

Sensitivity Analysis using Data Tables and Scenario Manager

Session 10 (2 Hours): Capstone Project and Course Wrap-up

Applying Advanced Excel Skills to a Comprehensive Business Case

Group Project Presentations and Feedback

Course Review and Discussion on Further Learning Paths

Each session should include a mix of lectures, demonstrations, and hands-on exercises. The emphasis should be on practical application, using real-world business scenarios and case studies to ensure students understand how to apply their Excel skills in a business context. The final capstone project should encourage students to use all the skills they've learned to solve a complex business problem. This structure will ensure that MBA students gain not only technical proficiency in advanced Excel features but also the ability to apply these skills strategically in their professional roles.

Week 1: Introduction and Basics of Power BI (4 Hours)

Session 1 (2 Hours): Introduction to Business Intelligence and Power BI

Overview of Business Intelligence (BI)

Introduction to Power BI and its position in the market

Installing Power BI Desktop

Basic Navigation and Interface Overview

Session 2 (2 Hours): Getting Started with Power BI

Connecting to Data Sources

Basic Data Import and Transformation using Power Query

Introduction to Data Modeling

Week 2: Data Analysis and Visualization (6 Hours)

Session 3 (2 Hours): Deep Dive into Data Analysis

Advanced-Data Transformation Techniques

Understanding Data Types and Categories

Introduction to DAX (Data Analysis Expressions) Basics

Session 4 (2 Hours): Creating Basic Visuals

Exploring Various Visualization Types

Creating and Customizing Charts and Graphs

Using Slicers and Filters for Interactive Reports

Session 5 (2 Hours): Advanced Visualization Techniques

Advanced DAX for Complex Calculations

Creating Interactive Dashboards

Best Practices for Data Visualization

Week 3: Reporting and Dashboarding (6 Hours)

Session 6 (2 Hours): Effective Reporting

Designing Compelling Reports

Storytelling with Data

Incorporating MBA Concepts into Reports (e.g., Financial Ratios, Market Analysis)

Session 7 (2 Hours): Advanced Dashboard Features

Drill-through and Drill-down Capabilities

Conditional Formatting and Data Alerts

Q&A and Natural Language Queries

Session 8 (2 Hours): Publishing and Sharing

Publishing Reports to Power BI Service

Sharing Dashboards and Reports

Collaboration Features in Power BI

Week 4: Integration and Real-World Application (4 Hours)

Session 9 (2 Hours): Integrating Power BI with Other Tools

Integration with Excel and Other Microsoft Services

Connecting Power BI to External Databases

Overview of APIs and Embedded Analytics

Session 10 (2 Hours): Capstone Project and Course Wrap-up

Applying Skills to a Real-World Business Case

Creating a Full Report and Dashboard from Scratch

Course Recap and Further Learning Resources

Each session can include a mix of lectures, hands-on exercises, and real-world case studies to ensure that students not only learn the technical aspects of Power BI but also understand how to apply these skills in a business context. The capstone project in the final session should ideally be a comprehensive task that requires students to apply all the skills they've learned throughout the course.