Power BI: Data Visualization and Analysis Course

Upskilling Course, 30 Academic Hours

Unleash the Power of Data with Microsoft’s Power BI

Microsoft’s Power BI is a leading application and key tool in cutting through the noise when it comes to data analysis and data visualization. Using Power BI effectively, you can extract insights and create interactive visual reports and dashboards.

Due to its impressive capabilities and popularity, mastery of Power BI is one of the most in-demand skills required of data analysts.

In our comprehensive course, you will learn about the array of tools available in the application, along with practical guides and best practices for data analysts. This includes connecting to data sources, creating charts and graphs, building custom calculations, and presenting impactful dashboards. The course also provides hands-on experience with real-world data sets, enabling students to apply and practice the essential skills required to succeed in data analysis.

Who should attend?

Prerequisites:

Previous experience working with data, high mathematical ability, accuracy, and attention to detail
Microsoft Windows and Power BI installed and licensed on your laptop

Learning Goals

This course will provide you with the necessary information and guidance to understand and use Microsoft’s Power BI, including how to connect data sources, create powerful visualizations, build interactive dashboards, and optimize analysis performance.

What You'll Get...

30 academic hours of live classes with a professional instructor, teaching in your local language.
Access to recordings of the sessions, in case you missed one or for reinforcement, for the duration of the course.
Certificate of Completion, also a digital one for LinkedIn. Graduation requires attending at least 80% of the classes, submitting all exercises, and getting a passing grade in the final project.
Lifelong membership in Wawiwa’s global alumni community, made of tech professionals that graduated Wawiwa’s reskilling and upskilling programs around the world.

Professional Supervisor

This unique program was built by a professional team made up of the leading experts in Data Science and Analytics, with vast knowledge and experience in training too. Supervising the plan is Wawiwa's Head of Data Analysis programs, Mrs. Talia Morchi.

Talía Morchi

Head of Data Analysis Programs

Talia has over 10 years of experience in the IT industry, having held the roles of Product Manager, Project Manager, and Data Solutions Manager, where she specialized in data analysis in addition to her other responsibilities.

She is a lecturer at Bar Ilan University, serving as the director of the BI Developer course and also teaching in the Data Science course. In addition, she is an undergraduate lecturer at Ono and the academic director and leading lecturer of the data analyst track at the G-Academy.

Talia is an expert in various development tools, including SQL, Python, Excel, and uniPaaS.

What Do Graduates Have to Say?

"I'm glad I enrolled in the Data Analyst Program because it allowed me to better focus on the already available data and to make better decisions. The program is well structured and easy to grasp. Content delivery was so smooth. They basically teach you everything step by step, making the learning experience fun and enjoyable. No matter the issue, they all go above and beyond to help us attain the best experiences in our data journey."

"The program keeps its promises. The trainers plan well and know the student's requirements. I hope there would be more and more programs that are helpful also for our younger generations."

"I am thankful for organizing and facilitating such a useful program."

"This program is the best place for anyone who wants to enhance their knowledge in Data Analytics!"

Course Syllabus

Introduction to Power BI
Introduction to Power Query
Preliminary data handling
Modeling and DAX (Data Analysis Expressions)
Data visualization
Basic and advanced chart types
Combo chart
Dual axis
Filtering
Sorting
Hierarchy
Total and subtotals
Calculated fields
Custom aggregations
Logic statements
Dashboards
Exporting a dashboard

Interested in more details?

We’d be happy to answer all your questions!

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