20778 – Analyzing Data with Power BI

Teacher

aktina

Introduction

This is a Live Online course. Participants may attend from their home or office, interact with each other and raise oral or written questions. They will be able to see the instructor’s screen and, at the same time, share their own screen to obtain hands-on guidance by the instructor.

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

Audience

The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

At Course Completion:

After completing this course, students will be able to:
• Perform Power BI desktop data transformation
• Describe Power BI desktop modelling
• Create a Power BI desktop visualization
• Implement the Power BI service
• Describe how to connect to Excel data
• Describe how to collaborate with Power BI data
• Connect directly to data stores.
• Describe the Power BI developer API
• Describe the Power BI mobile app.

Prerequisites

This course requires that you meet the following prerequisites:
• Excellent knowledge of relational databases and reporting.
• Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
• Some exposure to basic programming constructs (such as looping and branching).
• An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
• Familiarity with Microsoft Office applications – particularly Excel. These prerequisites can be achieved by attending courses
• 20761A – Querying Data with Transact-SQL
• 20767A – Implementing a SQL Server Data Warehouse

This training prepares you for the exam: 70-778: Analyzing and Visualizing Data with Power BI.

- Lecture1.1
  
  Introduction to Self-Service BI Solutions (20778) 30 min
- Lecture1.2
  
  Introducing Power BI (20778) 30 min
- Lecture1.3
  
  Power BI Data (20778) 30 min
- Lecture1.4
  
  Shaping and Combining Data (20778) 30 min
- Lecture1.5
  
  Modelling Data (20778) 30 min
- Lecture1.6
  
  Interactive Data Visualizations (20778) 30 min
- Lecture1.7
  
  Direct Connectivity (20778) 30 min
- Lecture1.8
  
  The Developer API (20778) 30 min
- Lecture1.9
  
  Power BI mobile app (20778) 30 min

City

Nicosia

Dates and Times

Class A: Blended - Face-to-face and/or Live Online
1. October 06 9:00 - 16:30
2. October 06 9:00 - 16:30
3. October 06 9:00 - 16:30

Class B: Blended - Face-to-face and/or Live Online
1. October 06 9:00 - 16:30
2. October 06 9:00 - 16:30
3. October 06 9:00 - 16:30