Analyzing Data with Power BI (20778)


Course Overview

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.

Who should attend

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


Before attending this course, students must have:

  • 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

Course Objectives

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.

Outline: Analyzing Data with Power BI (20778)

Module 1: Introduction to Self-Service BI Solutions

  • Lesson 1: Introduction to Business Intelligence
  • Lesson 2: Introduction to Data Analysis
  • Lesson 3: Introduction to Data Visualization
  • Lesson 4: Overview of Self-Service BI
  • Lesson 5: Considerations for Self-Service BI
  • Lesson 6: Microsoft Tools for Self-Service BI
  • Lab: Exploring an Enterprise BI Solution

Module 2: Introducing Power BI

  • Lesson 1: Power BI
  • Lesson 2: The Power BI Service
    • Lab: Creating a Power BI Dashboard
    Module 3: Power BI Data
    • Lesson 1: Using Excel as a Data Source for Power BI
    • Lesson 2: The Power BI Data Model
    • Lesson 3: Using Databases As a Data Source for Power BI
    • Lesson 4: The Power BI Service
    • Lab: Importing Data into Power BI
    Module 4: Shaping and Combining Data
    • Lesson 1: Power BI Desktop Queries
    • Lesson 2: Shaping Data
    • Lesson 3: Combining Data
    • Lab: Shaping and Combining Data
    Module 5: Modeling Data
    • Lesson 1: Relationships
    • Lesson 2: DAX Queries
    • Lesson 3: Calculations and Measures
    • Lab: Modeling Data
    Module 6: Interactive Data Visualizations
    • Lesson 1: Creating Power BI Reports
    • Lesson 2: Managing a Power BI Solution
    • Lab: Creating a Power BI Report
    Module 7: Direct Connectivity
    • Lesson 1: Cloud Data
    • Lesson 2: Connecting to Analysis Services
    • Lab: Direct Connectivity
    Module 8: The Developer API
    • Lesson 1: The Developer API
    • Lesson 2: Custom Visuals
    • Lab: Using the Developer API
    Module 9: Power BI Mobile
    • Lesson 1: Power BI Mobile Apps
    • Lesson 2: Using the Power BI Mobile App
    • Lesson 3: Power BI Embedded
Online Training

Duration 3 days

  • CAD 1,995
  • SA Voucher: 3
Classroom Training

Duration 3 days

  • Canada: CAD 1,995
  • SA Voucher: 3
Click on town name to book Schedule
This is an Instructor-Led Classroom course
Guaranteed date:   Fast Lane will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.
  *   This class is delivered by a partner.

Currently there are no training dates scheduled for this course.  For enquiries please write to info@fastlaneca.com.

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