Analyzing Data with Power BI

Duration: 3 days

Level: All levels

English

Overview

About this course

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.

Prerequisites

Before attending this course, students must have:

- - 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.

Objective

After completing this course, students will be able to:

- - Perform Power BI desktop data transformation.
  - Describe Power BI desktop modeling.
  - 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.

Curriculum

2 Sections
9 Lessons
3 Days

Expand all sectionsCollapse all sections

Module 1: Introduction to Self-Service BI SolutionsIntroduces business intelligence (BI) and how to self-serve with BI.
6
Module 1 Lab : Exploring an Enterprise BI solution
After completing this module, students will be able to: Describe the trends in BI Describe the process of data analysis in Power BI. Use the key visualizations in Power BI. Describe the rationale for self-service BI. Describe considerations for self-service BI. Understand how you can use Microsoft products to implement a BI solution.
3