Course 97013

Power BI Cloud and Excel Combo Course 20779 and 20778

Easy-to-use dashboards, interactive reports, and compelling visualizations that bring your data to life.

This 5 day course is the following 2 classes combined:

  • 20779 Analyzing Data with Excel (Power BI Dashboards, Data Models, Data Sources, Reports, DAX , Power BI Apps)
  • 20778 Analyzing Data with Power BI 2017

Save over $800 and when you buy both courses together.

This Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI course is designed to teach the participant how to combine the functionality of Power View, PowerPivot, Power Query, and Power BI into graphs, charts, KPIs, reports, and other visualizations for use in their business. This course is lab example intensive.

Who Should Attend

The course is targeted towards business analysts, business intelligence developers, and reporting professionals.

After completing this course, students will be able to:

  • Explore and extend a classic Excel dashboard.
  • Explore and extend an Excel data model.
  • Pre-format and import a .CSV file.
  • Import data from a SQL Server database
  • Import data from a report.
  • Create measures using advanced DAX functions.
  • Create data visualizations in Excel.
  • Create a Power BI dashboard with Excel.

Module 1: Data Analysis in Excel

This module looks at the classic Excel dashboard and at ways to extend it.

Lessons

  • Classic Data Analysis with Excel
  • Excel Pivot Tables
  • Limitations of Classic Data Analysis
Lab : Building a Classic Excel Dashboard

Module 2: The Excel Data Model.

This module looks at the classic Excel data model and at ways to extend it.

Lessons

  • Using an Excel Data Model
  • DAX
Lab Explore an Excel Data Model

Module 3: Importing Data from Files

This module looks at pre-formatting and importing CSV files.

Lessons

  • Importing Data into Excel
  • Shaping and Transforming Data
  • Loading Data
Lab : Importing Data from a CSV File

Module 4: Importing Data from Databases

This module looks at how to import data into Excel from a SQL Server database.

Lessons

  • Available Data Sources
  • Previewing, Shaping, and Transforming Data
  • Table Relationships and Hierarchies
  • Loading Data
Lab : Import Data from Multiple Sources

Module 5: Importing Data from Excel Reports

This module describes how to import data from a report.

Lessons

  • Importing Data from Excel Reports
  • Transforming Excel report Data
Lab : Importing Data from a Report

Module 6: Creating and Formatting Measures

This module describes how to create and format measures.

Lessons

  • DAX
  • Measures
  • Advanced DAX Functions
Lab : Creating Measures using Advanced DAX Functions

Module 7: Visualizing Data in Excel

This module describes how to visualize data in Excel.

Lessons

  • Pivot Charts
  • Cube Functions
  • Charts for Cube Functions
Lab : Data Visualization in Excel

Module 8: Using Excel with Power BI

This module describes how to use Excel with Power BI.

Lessons

  • Power BI
  • Uploading Excel Data to Power BI
  • Power BI Mobile App
Lab : Creating a Power BI Dashboard with Excel

Prerequisites

Before attending this course, students must have:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.
  • Extensive knowledge of Excel spreadsheets including formulas, charts, filtering, sorting, and sub-totals.
  • Basic knowledge of data analytics.
  • Course 20778 Wed-Fri 3 days

    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 20778 Analyzing Data with Power BI 2017course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

    Course Outline

    Module 1: Introduction to Self-Service BI Solutions

    Introduces business intelligence (BI) and how to self-serve with BI.

    Lessons

    • Introduction to business intelligence
    • Introduction to data analysis
    • Introduction to data visualization
    • Overview of self-service BI
    • Considerations for self-service BI
    • Microsoft tools for self-service BI
    • Lab: Exploring an Enterprise BI solution
    • Viewing reports
    • Creating a Power BI report
    • Creating a Power BI dashboard

    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.

    Module 2: Introducing Power BI

    This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.

    Lessons

    • Power BI
    • The Power BI service
    • Lab: Creating a Power BI dashboard
    • Connecting to Power BI data
    • Create a Power BI dashboard

    After completing this module, students will be able to:

    • Develop reports using the Power BI Desktop app.
    • Use report items to create dashboards on the Power BI portal.
    • Understand the components of the Power BI service including licensing and tenant management.

    Module 3: Power BI

    At the end of this module students will be able to explain the rationale and advantages of using Power BI.

    Lessons

    • Using Excel as a data source for Power BI
    • The Power BI data model
    • Using databases as a data source for Power BI
    • The Power BI service
    • Lab: Importing data into Power BI
    • Importing Excel files into Power BI
    • Viewing reports from Excel files

    After completing this module, students will be able to:

    • Describe the data model and know how to optimize data within the model.
    • Connect to Excel files and import data
    • Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
    • Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups.

    Module 4: Shaping and Combining Data

    With Power BI desktop you can shape and combine data with powerful, built-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.

    Lessons

    • Power BI desktop queries
    • Shaping data
    • Combining data
    • Lab: Shaping and combining data
    • Shape power BI data
    • Combine Power BI data

    After completing this module, students will be able to:

    • Perform a range of query editing skills in Power BI
    • Shape data, using formatting and transformations.
    • Combine data together from tables in your dataset.

    Module 5: Modeling data

    This module describes how to shape and enhance data.

    Lessons

    • Relationships
    • DAX queries
    • Calculations and measures
    • Lab: Modeling Data
    • Create relationships
    • Calculations

    After completing this module, students will be able to:

    • Describe relationships between data tables.
    • Understand the DAX syntax, and use DAX functions to enhance your dataset.
    • Create calculated columns, calculated tables and measures.

    Module 6: Interactive Data Visualizations

    This module describes how to create and manage interactive data visualizations.

    Lessons

    • Creating Power BI reports
    • Managing a Power BI solution
    • Lab: Creating a Power BI report
    • Connecting to Power BI data
    • Building Power BI reports
    • Creating a Power BI dashboard

    After completing this module, students will be able to:

    • Use Power Bi desktop to create interactive data visualizations.
    • Manage a power BI solution.

    Module 7: Direct Connectivity

    This module describes various connectivity options using Power BI.

    Lessons

    • Cloud data
    • Connecting to analysis services
    • Lab: Direct Connectivity
    • Direct connectivity from Power BI desktop
    • Direct connectivity from the Power BI service

    After completing this module, students will be able to:

    • Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
    • Use Power BI with SQL Server Analysis Services data, including Analysis services modules running in multidimensional mode.

    Module 8: Developer API

    This module describes the developer API within Power BI.

    Lessons

    • The developer API
    • Custom visuals
    • Lab: Using the developer API
    • Using custom visuals

    After completing this module, students will be able to:

    • Describe the developer API.
    • Use the developer API to create custom visuals.

    Module 9: Power BI mobile app

    This module describes the Power BI mobile app.

    Lessons

    • The Power BI mobile app
    • Using the Power BI mobile app
    • Power BI embedded

    After completing this module, students will be able to:

    • Describe the Power BI mobile app.
    • Download and use the Power BI mobile app.
    • Describe Power BI embedded and when you would want to use it.

    What You'll Learn

    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.

*NOTE: if an average rating and rating count are shown on this page, they are based on all reviews associated with Dynamics Edge that are shown on the review page, and are not restricted to reviews only for the particular course offered on this page.


97013Power BI Cloud and Excel Combo Course 20779 and 20778
Banner rating d5dfd02e10e7bea369b370d45102dadcf6d70e41b6bfce1ee178127969f7852a
Dynamics Edge4.67 out of 50 stars, based on 80 reviews*

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Price: $2995
Duration: 5 days
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