Competitive Analysis Courses

Week 1: Introduction to IBM Cognos Analytics (4 Hours)

Session 1 (2 Hours): Overview of IBM Cognos Analytics

Introduction to Business Intelligence and the Role of IBM Cognos Analytics

Navigating the IBM Cognos Analytics Interface

Overview of Key Features and Capabilities

Session 2 (2 Hours): Basic Reporting and Dashboarding

Connecting to Data Sources in Cognos

Creating Simple Reports and Dashboards

Basic Data Visualization Techniques

Week 2: Advanced Reporting and Data Exploration (6 Hours)

Session 3 (2 Hours): Advanced Reporting Techniques

Building Advanced Reports (List, Crosstab, and Chart Reports)

Applying Filters, Prompts, and Calculations

Report Formatting and Styling for Clarity and Impact

Session 4 (2 Hours): Interactive Dashboards and Visualization

Designing Interactive Dashboards

Advanced Visualization Techniques in Cognos

Using Drill-Throughs for Detailed Data Analysis

Session 5 (2 Hours): Data Exploration and Analysis

Exploratory Data Analysis in Cognos Analytics

Utilizing Cognos for Trend Analysis and Pattern Discovery

Integrating External Data and Leveraging Advanced Analytics

Week 3: Data Modeling and Framework Manager (6 Hours)

Session 6 (2 Hours): Introduction to Data Modeling

Basics of Data Modeling in Cognos

Creating and Managing Packages

Understanding the Framework Manager

Session 7 (2 Hours): Advanced Data Modeling Concepts

Building Dimensional Models

Working with Different Query Subjects

Implementing Security in Models

Session 8 (2 Hours): Practical Modeling Exercises

Hands-on Data Modeling Exercise

Best Practices in Data Modeling for Business Reporting

Reviewing and Optimizing Models

Week 4: Business Applications and Capstone Project (4 Hours)

Session 9 (2 Hours): Cognos Analytics in Business Contexts

Applying Cognos Analytics to Solve Business Problems

Case Studies: Cognos in Different Industry Settings

Discussing the Strategic Impact of Business Intelligence

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

Developing a Comprehensive Business Intelligence Project Using Cognos Analytics

Presentation and Review of Capstone Projects

Course Summary and Pathways for Further Learning

This course should include a mix of lectures, hands-on practical exercises, and case studies. The capstone project in the final week would allow students to apply their learning to a comprehensive business intelligence task, ensuring they understand not only how to use IBM Cognos Analytics but also how to apply it strategically in a business context.

Week 1: Introduction to QlikView and Qlik Sense (4 Hours)

Session 1 (2 Hours): Fundamentals of QlikView and Qlik Sense

Overview of QlikView and Qlik Sense: Features and Differences

The Role of Qlik in Business Intelligence and Data Visualization

Installing and Setting Up QlikView and Qlik Sense

Session 2 (2 Hours): Basics of Data Loading and Modeling

Connecting to Data Sources

Basic Data Modeling Techniques in Qlik

Understanding Qlik’s Associative Model

Week 2: Data Visualization and Dashboard Creation (6 Hours)

Session 3 (2 Hours): Creating Basic Visualizations

Exploring Chart Types and Visualization Options

Designing Interactive Dashboards in Qlik Sense

Best Practices for Effective Data Presentation

Session 4 (2 Hours): Advanced Visualization Techniques

Utilizing Advanced Chart Types and Custom Visualizations

Implementing Set Analysis for Comparative Analysis

Hands-on Practice with Complex Dashboard Creation

Session 5 (2 Hours): Storytelling and Reporting in Qlik

Using Qlik Sense for Storytelling and Report Generation

Integrating Narrative into Dashboards

Exporting Reports and Visualizations

Week 3: Advanced Topics in QlikView and Qlik Sense (6 Hours)

Session 6 (2 Hours): Advanced Data Modeling

Advanced Data Transformation Techniques

Scripting in QlikView for Custom Data Models

Complex Data Structures and Optimization Techniques

Session 7 (2 Hours): Set Analysis and Data Exploration

Deep Dive into Set Analysis for Complex Data Queries

Dynamic Data Exploration Techniques

Hands-on Exercises on Data Exploration

Session 8 (2 Hours): Integrating Qlik with External Data Sources

Connecting to Various Data Sources (SQL, Web, APIs)

Implementing Data Security and Governance

Best Practices for Data Integration

Week 4: Practical Applications and Capstone Project (4 Hours)

Session 9 (2 Hours): Applying Qlik in Business Scenarios

Case Studies: How Businesses Leverage Qlik for Analytics

Discussing Real-World Business Problems and Solutions

Ethical Considerations in Data Visualization

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

Developing a Comprehensive Qlik Project based on Real Business Data

Presentation and Review of Capstone Projects

Course Summary and Future Learning Opportunities

The course should be a mix of lectures, demonstrations, and practical exercises, with a focus on applying QlikView/Qlik Sense skills to business analytics scenarios. The capstone project in the final week would allow students to apply their learning to develop a full-scale business intelligence solution, ensuring they not only know how to use Qlik tools but also understand their strategic application in business.

Week 1: Introduction to IBM Cognos Analytics (4 Hours)

Session 1 (2 Hours): Overview of IBM Cognos Analytics

Introduction to Business Intelligence and the Role of IBM Cognos Analytics

Navigating the IBM Cognos Analytics Interface

Overview of Key Features and Capabilities

Session 2 (2 Hours): Basic Reporting and Dashboarding

Connecting to Data Sources in Cognos

Creating Simple Reports and Dashboards

Basic Data Visualization Techniques

Week 2: Advanced Reporting and Data Exploration (6 Hours)

Session 3 (2 Hours): Advanced Reporting Techniques

Building Advanced Reports (List, Crosstab, and Chart Reports)

Applying Filters, Prompts, and Calculations

Report Formatting and Styling for Clarity and Impact

Session 4 (2 Hours): Interactive Dashboards and Visualization

Designing Interactive Dashboards

Advanced Visualization Techniques in Cognos

Using Drill-Throughs for Detailed Data Analysis

Session 5 (2 Hours): Data Exploration and Analysis

Exploratory Data Analysis in Cognos Analytics

Utilizing Cognos for Trend Analysis and Pattern Discovery

Integrating External Data and Leveraging Advanced Analytics

Week 3: Data Modeling and Framework Manager (6 Hours)

Session 6 (2 Hours): Introduction to Data Modeling

Basics of Data Modeling in Cognos

Creating and Managing Packages

Understanding the Framework Manager

Session 7 (2 Hours): Advanced Data Modeling Concepts

Building Dimensional Models

Working with Different Query Subjects

Implementing Security in Models

Session 8 (2 Hours): Practical Modeling Exercises

Hands-on Data Modeling Exercise

Best Practices in Data Modeling for Business Reporting

Reviewing and Optimizing Models

Week 4: Business Applications and Capstone Project (4 Hours)

Session 9 (2 Hours): Cognos Analytics in Business Contexts

Applying Cognos Analytics to Solve Business Problems

Case Studies: Cognos in Different Industry Settings

Discussing the Strategic Impact of Business Intelligence

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

Developing a Comprehensive Business Intelligence Project Using Cognos Analytics

Presentation and Review of Capstone Projects

Course Summary and Pathways for Further Learning

This course should include a mix of lectures, hands-on practical exercises, and case studies. The capstone project in the final week would allow students to apply their learning to a comprehensive business intelligence task, ensuring they understand not only how to use IBM Cognos Analytics but also how to apply it strategically in a business context.

Week 1: Introduction to QlikView and Qlik Sense (4 Hours)

Session 1 (2 Hours): Fundamentals of QlikView and Qlik Sense

Overview of QlikView and Qlik Sense: Features and Differences

The Role of Qlik in Business Intelligence and Data Visualization

Installing and Setting Up QlikView and Qlik Sense

Session 2 (2 Hours): Basics of Data Loading and Modeling

Connecting to Data Sources

Basic Data Modeling Techniques in Qlik

Understanding Qlik’s Associative Model

Week 2: Data Visualization and Dashboard Creation (6 Hours)

Session 3 (2 Hours): Creating Basic Visualizations

Exploring Chart Types and Visualization Options

Designing Interactive Dashboards in Qlik Sense

Best Practices for Effective Data Presentation

Session 4 (2 Hours): Advanced Visualization Techniques

Utilizing Advanced Chart Types and Custom Visualizations

Implementing Set Analysis for Comparative Analysis

Hands-on Practice with Complex Dashboard Creation

Session 5 (2 Hours): Storytelling and Reporting in Qlik

Using Qlik Sense for Storytelling and Report Generation

Integrating Narrative into Dashboards

Exporting Reports and Visualizations

Week 3: Advanced Topics in QlikView and Qlik Sense (6 Hours)

Session 6 (2 Hours): Advanced Data Modeling

Advanced Data Transformation Techniques

Scripting in QlikView for Custom Data Models

Complex Data Structures and Optimization Techniques

Session 7 (2 Hours): Set Analysis and Data Exploration

Deep Dive into Set Analysis for Complex Data Queries

Dynamic Data Exploration Techniques

Hands-on Exercises on Data Exploration

Session 8 (2 Hours): Integrating Qlik with External Data Sources

Connecting to Various Data Sources (SQL, Web, APIs)

Implementing Data Security and Governance

Best Practices for Data Integration

Week 4: Practical Applications and Capstone Project (4 Hours)

Session 9 (2 Hours): Applying Qlik in Business Scenarios

Case Studies: How Businesses Leverage Qlik for Analytics

Discussing Real-World Business Problems and Solutions

Ethical Considerations in Data Visualization

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

Developing a Comprehensive Qlik Project based on Real Business Data

Presentation and Review of Capstone Projects

Course Summary and Future Learning Opportunities

The course should be a mix of lectures, demonstrations, and practical exercises, with a focus on applying QlikView/Qlik Sense skills to business analytics scenarios. The capstone project in the final week would allow students to apply their learning to develop a full-scale business intelligence solution, ensuring they not only know how to use Qlik tools but also understand their strategic application in business.