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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

Prerequisites

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
      [list]
    • 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
Classroom Training

Duration 3 days

Price
  • United States: US$ 1,795
  • SA Voucher: 3
Online Training

Duration 3 days

Price
  • United States: US$ 1,795
  • SA Voucher: 3
E-Learning MOC on Demand

Duration 90 days

Price
  • United States: US$ 795
Buy E-Learning
 
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This is an Instructor-Led Classroom course
This is a FLEX course, which is delivered simultaneously in two modalities. Choose to attend the Instructor-Led Online (ILO) virtual session or Instructor-Led Classroom (ILT) session.
  *   This class is delivered by a partner.
United States

Currently there are no training dates scheduled for this course.  You can schedule a private, onsite training session or request a public date by emailing info@fastlaneus.com.

Fast Lane Flex™ Classroom If you can't find a suitable date, don't forget to check our world-wide FLEX™ training schedule.

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Jan 12-14, 2020 Dubai Course language: English This course is being delivered by iTLS. Enroll
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