MCSA-PBI: BI Reporting

Code: MCSA-PB
Course duration: 6 days
Price:

MCSA: BI Reporting

This certification demonstrates your expertise in analyzing data with both Power BI and Excel.

Earning an MCSA: BI Reporting demonstrates knowledge relevant to data analysis, data visualization, modeling, dashboards, and direct connectivity to data sources in Excel and Power BI.  It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).

This Certification consists of the following courses:

20778-03 Analyzing Data with Power BI 2017 

Course Description 

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. 

This course preceeded by 55164 Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI is a great 5 day Combo!  and also with 10989 - Analyzing Data with Power BI which makes it a 7 day Combo.

Exam 70-778 - Analyzing and Visualizing Data with Microsoft Power BI

Who Should Attend 

The course 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. 

 

20779-03 Analyzing Data with Excel 

Course Description 

The main purpose of the course is to give students the ability to add BI techniques to Excel data analysis. The course goes beyond the capabilities of tables and charts and uses Pivot Charts, the Excel Data Model, and Power BI. 

Who Should Attend 

This course is intended for students who are experienced with analyzing data with Excel and who wish to add BI techniques. The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data. 

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 

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 equivalent to having attended course 10994. 

 

Guaranteed to Run

2021-05-07
09:00 to 17:00
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2021-05-06 09:00 to 2021-05-07 17:00
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2021-04-29 09:00 to 2021-04-30 17:00
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2021-04-23
09:00 to 17:00
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2021-04-23
09:00 to 17:00
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2021-04-22 09:00 to 2021-04-23 17:00
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2021-04-22 09:00 to 2021-04-23 17:00
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2021-04-21 09:00 to 2021-04-23 17:00
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2021-04-21 09:00 to 2021-04-23 17:00
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2021-04-12 09:00 to 2021-04-30 17:00
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