Advanced Business Intelligence with Power BI and Tableau

This comprehensive course offered by IRES offers an in-depth exploration of Power BI and Tableau, focusing on advanced data visualization and analytics techniques.

Participants will gain comprehensive skills in utilizing these powerful tools to create insightful dashboards, conduct complex data analysis, and drive data-informed decision-making.

Through practical exercises and real-world case studies, attendees will learn to leverage both platforms to uncover valuable business insights and optimize reporting processes.

Duration

10 days

Who Should Attend

1. Business intelligence professionals
2. Data analysts and data scientists
3. Business executives and decision-makers
4. IT and data management specialists
5. Professionals seeking to enhance their data visualization skills

Personal Impact

1. Develop advanced skills in Power BI and Tableau
2. Enhance ability to create impactful data visualizations and dashboards
3. Improve data analysis and reporting capabilities

Organizational Impact

1. Drive data-informed decision-making with advanced BI tools
2. Improve reporting accuracy and efficiency
3. Facilitate better communication of insights across the organization

Course Objectives

1. Master advanced features of Power BI and Tableau for data visualization
2. Develop skills in creating interactive dashboards and reports
3. Utilize BI tools for complex data analysis and forecasting
4. Implement best practices for data visualization and storytelling
5. Gain hands-on experience through practical exercises and case studies

Course Outline

Module 1: Introduction to Power BI and Tableau

1. Overview of Power BI and Tableau features
2. Key differences and use cases for each tool
3. Setting up and navigating the user interfaces
4. Case Study: Exploring the use of Power BI and Tableau in a retail company to enhance data-driven decision-making.

Module 2: Data Connection and Preparation

1. Connecting to various data sources in Power BI and Tableau
2. Data cleaning and transformation techniques
3. Handling large datasets and optimizing performance
4. Case Study: Preparing and transforming sales data for analysis in a global e-commerce firm.

Module 3: Building Advanced Dashboards in Power BI

1. Creating interactive and dynamic dashboards
2. Utilizing advanced Power BI features (e.g., DAX, Power Query)
3. Designing effective and user-friendly visualizations
4. Case Study: Developing a sales performance dashboard for a marketing agency using Power BI.

Module 4: Advanced Data Visualization in Tableau

1. Leveraging Tableau’s advanced visualization capabilities
2. Creating complex charts and custom visualizations
3. Using Tableau’s calculated fields and parameters
4. Case Study: Visualizing customer feedback data for a product launch using Tableau.

Module 5: Data Modeling and Analysis in Power BI

1. Designing and managing data models
2. Performing complex calculations and aggregations
3. Implementing data relationships and hierarchies
4. Case Study: Building a financial model for budget forecasting in a non-profit organization.

Module 6: Predictive Analytics and Forecasting in Tableau

1. Utilizing Tableau for predictive analytics and forecasting
2. Applying statistical models and trend analysis
3. Visualizing forecasting results effectively
4. Case Study: Forecasting sales trends for a retail business using historical data in Tableau.

Module 7: Integrating Power BI and Tableau with Other Tools

1. Connecting Power BI and Tableau with Excel and SQL databases
2. Integrating BI tools with cloud services and APIs
3. Automating data updates and synchronization
4. Case Study: Integrating Power BI with SQL Server for real-time data analysis in a logistics company.

Module 8: Best Practices for Data Visualization and Reporting

1. Principles of effective data visualization and storytelling
2. Designing dashboards for different audiences and purposes
3. Ensuring data accuracy and consistency in reports
4. Case Study: Evaluating the effectiveness of different dashboard designs for executive reporting.

Module 9: Case Studies and Real-world Applications

1. Analyzing real-world case studies using Power BI and Tableau
2. Developing solutions for common business challenges
3. Sharing insights and lessons learned from case studies
4. Case Study: Comprehensive analysis of how a financial services firm utilized BI tools to drive strategic decisions.

Module 10: Project Work and Course Review

1. Completing a comprehensive BI project using Power BI and Tableau
2. Presenting findings and recommendations
3. Reviewing key concepts and best practices from the course
4. Case Study: Reflecting on project outcomes and lessons learned from a BI project implementation.

Related Courses

1. Fundamentals of Data Presentation and Visualization Training Course
2. Business Analytics and Intelligence using Tableau Training Course
3. Research Design, SurveyCTO Mobile Data Collection, GIS Mapping Data Analysis using NVivo and Python Training Course
4. Data Mining and Analysis with Python Training Course
5. Neural Networks in Machine Learning for Data Scientist in Theano Training Course
6. Mastering Generative AI: Techniques and Applications Training Course

Course Administration Details

Methodology

The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work.

Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. Therefore, the participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre.

The course fee covers the course tuition, training materials, two break refreshments, and lunch.

All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

In addition to our training in Kenya (Nairobi, Mombasa, Kisumu, Nakuru, and Naivasha), we conduct training in the following locations:

1. Dubai - United Arab Emirates
2. Cairo - Egypt
3. Johannesburg, Pretoria, and Cape Town - South Africa
4. Arusha, Zanzibar, and Dar-es-Salaam - Tanzania
5. Kigali - Rwanda
6. Accra - Ghana
7. Kampala - Uganda

Accommodation and Airport Transfer

Accommodation and airport transfer can be arranged upon request.

For reservations, kindly contact us.

• Email: [email protected]
• Phone: +254715 077 817

Tailor-Made Program

Upon request, this training can also be customized to suit the needs of you or your institution.

You can have it delivered at our IRES Training Centre or at a convenient location.

For further inquiries, kindly contact us.