MCSA - BI Reporting Training Course

·      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.

·      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.

·      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 your data within the model.

·      Connect to Excel files and import data.

·      Use on-premises & cloud SQL Server databases as data sources, with the R script data connector.

·      Take advantage of the features of the Power BI service.

·      Use Q&A to ask questions in natural query language and create apps.

·      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 tasks in Power BI.

·      Shape data, using formatting and transformations.

·      Combine data together from tables in your dataset.

·      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.

·      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.

·      Lessons

·      Cloud Data

·      Connecting to Analysis Services

·      Lab: Direct Connectivity

·      Direct Connections to Power BI

·      After completing this module, students will be able to:

·      Use Power BI direct connectivity to access data in Azure SQL Database and Azure SQL Data Warehouse

·      Use Power BI direct connectivity to access data in big data sources, such as Hadoop.

·      Use Power BI with SQL Server Analysis Services data.

·      Use Analysis Services models running in multidimensional mode.

·      Lessons

·      The Power BI API

·      Custom Visuals

·      Lab: Using Marketplace Visualizations

·      Using a Custom Visualization

·      After completing this module, students will be able to:

·      Describe the Power BI Developer API.

·      List the steps for creating custom visualizations.

·      Import custom visuals into Power BI for use in Power BI reports.

·      Lessons

·      Power BI Mobile Apps

·      Using the Power BI Mobile App

·      After completing this module, students will be able to:

·      Create dashboards and reports for mobile devices.

·      Use the Power BI Mobile app.

The main purpose of the part 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.

This Lecture 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

·      Formatting Data

·      Building a Pivot Table

·      Adding pivot charts and a slicer

·      After completing this Lecture, students will be able to:

·      Describe classic data analysis with Excel

·      Describe Excel pivot tables

·      Describe the limitations of classic data analysis with Excel

This Lecture 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

·      Create Calculated Columns

·      Format Data Model Data

·      Create Measures

·      Analyze the Data

·      After completing this Lecture, students will be able to:

·      Describe an Excel data model

·      View data within an Excel data table

·      Describe DAX

This Lecture 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

·      Import and Transform Data from a CSV File

·      Add Data from a Folder

·      After completing this Lecture, students will be able to:

·      Import data into excel.

·      Shape and transform data.

·      Load data.

This Lecture 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

·      Import Data from SQL Server

·      Import Data from a CSV File

·      Create a Data Table

·      After completing this Lecture, students will be able to:

·      Identify available data sources.

·      Preview, shape, and transform data.

·      Explain table relationships and hierarchies.

·      Load data from various sources.

This Lecture describes how to import data from a report.

·      Lessons

·      Importing Data from Excel Reports

·      Transforming Excel report Data

·      Lab: Importing Data from a Report

·      Import Data from Excel

·      Transform the Excel Data

·      Load the Data into an Excel Data Model

·      After completing this Lecture, students will be able to:

·      Import data from Excel reports.

·      Transform Excel report data.

This Lecture describes how to create and format measures.

·      Lessons

·      DAX

·      Measures

·      Advanced DAX Functions

·      Lab: Creating Measures using Advanced DAX Functions

·      Last year comparison

·      Year to date

·      Market Share

·      After completing this Lecture, students will be able to:

·      Explain what DAX is and when to use it.

·      Describe a measure.

·      Use some of the advanced functions within DAX.

This Lecture describes how to visualize data in Excel.

·      Lessons

·      Pivot Charts

·      Cube Functions

·      Charts for Cube Functions

·      Lab: Data Visualization in Excel

·      Create a Tabular Report

·      Create a Pivot Chart

·      Add Slicers to Charts

·      After completing this module, students will be able to:

·      Create and refine a pivot chart.

·      Describe cube functions and when to use them.

·      Describe a number of charts for use with cube functions.

This Lecture 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

·      Uploading Excel Data

·      Creating a Power BI Dashboard

·      Using Power BI desktop

·      After completing this module, students will be able to:

·      Describe Power Bi and the various versions available.

·      Upload Excel data to Power BI.

·      Describe the Power BI App.