10989MOD: Analyzing Data with Power BI

The Bundle Includes:
90 day access to high quality online training videos
Exam prep Guide

Days :
Price :

CAD$1,595.00

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Description

About this On Demand Course

The Microsoft on-demand product is an integrated on-line training experience that includes video, labs, exercises, text and knowledge checks. Attendees experience all of this through an on-demand course player.

 

What’s included?

  • Access to the official Microsoft Video on Demand Course for 90 days from the point of first access, allowing you to start and stop when you need to.
  • Lab access for 3 months from start of access.
  • Digital edition of the Microsoft Official Curriculum (DMOC) manual for reference throughout your course. All DMOC come with fresh editions so your courseware will always be up to date.
  • MCT Support via our Microsoft Training Support Yammer Group (you will be invited to the group after registration)

The content is based on the same official courseware we use in our instructor-led training, and videos feature engaging experts hand-selected by Microsoft. Unlike other on-demand offerings that offer simulated labs, MOC On-Demand gives you a live, real-time environment for hands-on training.

 

About this course

This course provides students with the knowledge and skills analyze data with Power BI.

 

Audience profile

The primary audience for this course is BI professionals who need to analyze data utilizing Power BI.
The secondary audiences for this course are technically proficient business users.

 

Prerequisites

This course requires that you meet the following prerequisites:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming concepts (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

 

At course completion

After completing this course, students will be able to:

  • Describe key features of a self-service BI solution
  • Describe Power BI and its data sources
  • Model, shape, and combine data
  • Describe Power BI data visualizations

 

Course Outline

 

Module 1: Introduction to Self-Service BI Solutions

In this module students will be introduced to the key concepts in business intelligence, data analysis, and data visualization. In addition they will learn the rationale for self-service BI, considerations for using self-service BI, and how Microsoft products can be used to implement a self-service BI solution.

 

Lessons

  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualization
  • Overview of self-service BI
  • Considerations of self-service BI
  • Microsoft tools for self-service BI

 

Lab: Exploring an enterprise BI solution

 

Module 2: Introducing Power BI

This module introduces Power BI.

 

Lessons

  • Power BI
  • The Power BI service
  • Power BI mobile apps

 

Lab: Cresting a Power BI dashboard

 

Module 3: Power BI Data

This module describes Power BI data sources.

 

Lessons

  • Using Excel as a Power BI data source
  • Using databases as a Power BI data source
  • The Power BI service

 

Lab: Import data into Power BI

 

Module 4: Shaping and Combining Data

This module describes how to shape and combine data. Lessons

  • Power BI desktop queries
  • Shaping data
  • Combining data

 

Lab: Shaping and combining data

 

Module 5: Modeling Data

This module describes how to model data in Power BI.

 

Lessons

  • Relationships
  • DAX queries
  • Calculations and measures

 

Lab: Modeling data

 

Module 6: Interactive Data Visualizations

This module describes Power BI visualizations.

 

Lessons

  • Creating Power BI reports
  • Managing a Power BI solution

 

Lab: Creating a Power BI report