Data Analysis and Visualisation using PowerBI

This course is designed for professionals and students who want to develop their skills in data analysis and visualization using Power BI software. Power BI is a powerful business analytics tool that allows you to connect to different data sources, create data models, and build visualizations and reports that can be shared with others.

Throughout this course, you will learn the fundamental concepts and techniques of data analysis and visualization using Power BI. You will gain an understanding of how to import, transform, and clean data, create relationships between tables, and build data models for analysis. You will also learn how to create basic and advanced visualizations, apply statistical analysis techniques, and create reports and dashboards for sharing insights.

This course is designed to provide a hands-on learning experience, with practical exercises and real-world examples. By the end of this course, you will have gained the skills and knowledge to create professional-quality visualizations and reports, analyze data, and share insights with others. Whether you are a data analyst, business professional, or student, this course will help you develop your skills in data analysis and visualization using Power BI.

Participants who successfully complete the course will receive Certificate of Participation. Please note that we extend post-training support for up to 6 months after training.

OBJECTIVES

By the end of this course, participants will;

1.     Develop a thorough understanding of the Power BI platform and its components.
2.     Learn how to import, transform, and clean data from different sources using Power BI.
3.     Create relationships between tables and build data models for analysis.
4.     Understand data visualization best practices and create basic and advanced visualizations using Power BI.
5.     Apply statistical analysis techniques in Power BI to analyze data trends and patterns.
6.     Create custom calculations using DAX formulas.
7.     Build reports and dashboards for sharing insights with others.
8.     Understand the importance of collaboration and sharing in Power BI.
9.     Learn how to use Power BI Mobile for on-the-go analysis and reporting.
10.  Understand security and permissions in Power BI and best practices for report design and sharing.

DURATION

5 days

WHO SHOULD ATTEND?

This Data Analysis and Visualization using Power BI course is designed for professionals who are interested in working with data and want to develop their skills in data analysis and visualization using Power BI. Some of the potential participants who would benefit from this course include:

1. Data analysts who want to deepen their understanding of data analysis and visualization using Power BI
2. Business professionals who want to develop their skills in data analysis and visualization to make better business decisions
3. Students and researchers who want to learn data analysis and visualization techniques using Power BI
4. Anyone interested in developing their skills in data analysis and visualization using Power BI, regardless of their prior experience with data analysis and visualization.

General Notes

• The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
• The participants should be reasonably proficient in English as all facilitation and course materials will be offered in English.
• Upon successful completion of this training, participants will be issued with a certificate.
• The training will be held at Kincaid Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.
• All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
• Accommodation and airport pickup are arranged upon request. For reservations contact the Training coordinator.
• This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Kincaid Training Centre or at a convenient location.

Payments are due upon registration. Payment should be sent to our Bank account before the commencement of training and proof of payment sent to us.

The course is delivered through the following Modules:

Module 1: Introduction to Power BI and Data Visualization

• Introduction to Power BI and its components
• Understanding data visualization and its importance
• Best practices for data visualization
• Creating basic visualizations in Power BI
• Using filters and drill-downs to analyze data
• Creating interactive reports and dashboards

 

Module 2: Data Preparation and Data Modeling

• Understanding data preparation and cleaning
• Importing data from various sources into Power BI
• Transforming and shaping data using Power Query
• Creating relationships between tables
• Building data models for analysis

 

Module 3: Advanced Data Visualization Techniques

• Creating advanced visualizations such as maps, gauges, and treemaps
• Working with custom visuals in Power BI
• Understanding the importance of color schemes and choosing the right colors
• Creating dynamic visualizations using hierarchies and drill-throughs

 

Module 4: Data Analysis and Insights

• Understanding the importance of data analysis
• Applying statistical analysis techniques in Power BI
• Using DAX formulas to create custom calculations
• Analyzing trends and patterns in data
• Creating and using measures for analysis

 

Module 5: Advanced Reporting and Collaboration

• Creating advanced reports using Power BI
• Using Power BI to collaborate and share insights
• Using Power BI Mobile for on-the-go analysis and reporting
• Understanding security and permissions in Power BI
• Best practices for report design and sharing

Register as a group of 5 or more and receive a 20% discount on the course fees.

No. of Days:

5