Microsoft MCSA: BI Reporting

HAUPTMERKMALE

During this course you will get 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 will also give you the ability to add BI techniques to Excel data analysis.

Inhalt

Your course package is designed to provide maximum learning and convenience. This is included in the price of your course:

• VON EINEM AUSBILDER GELEITETE SCHULUNG
• ALLE KURSUNTERLAGEN
• PRÜFUNGSGUTSCHEIN
• ZERTIFIZIERUNGSGARANTIE
• VON EINEM AUSBILDER GELEITETE SCHULUNG
• UNTERKUNFT
• ALLE KURSUNTERLAGEN
• ALLE MAHLZEITEN
• PRÜFUNGSGUTSCHEIN
• ZERTIFIZIERUNGSGARANTIE

PRÜFUNGEN & ZERTIFIZIERUNGEN

Your expert instructor will get you ready for the following exams and certifications, which are included in your course package and covered by the Certification guarantee.

• Analysing and Visualising Data with Microsoft Power BI (70-778)
• Analysing and Visualising Data with Microsoft Excel (70-779)
• Microsoft MCSA: BI Reporting
• Microsoft Certified Professional (MCP)

VORAUSSETZUNGEN

You´ll have the perfect starting point for your training with these prerequisites:
- Excellent knowledge of relational databases and reporting.
- 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.
- 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.

Vollständiger Lehrplan

Using our engaging learning methodology including a variety of tools, we’ll cover the entire curriculum.

Course 20778A: Analyzing Data with Power BI

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, buil-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: Modelling data
This module describes how to shape and enhance data.

Lessons
- Relationships
- DAX queries
- Calculations and measures

Lab : Modelling 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 modles running in multidimentional 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.


Course 20779A: Analyzing Data 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
- Filtering and Formatting Data
- Building a Pivot Table
- Building a Pivot Chart
- Building a Dashboard

After completing this module, students will be able to:
- Describe classic data analysis with Excel
- Describe Excel pivot tables
- Describe the limitations of classic data analysis with Excel

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
- Create Calculated Columns
- Format Data Model Data
- Create Measures
- Analyze the Data

After completing this module, students will be able to:
- Describe an Excel data model
- View data within an Excel data table
- Describe DAX

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
- Import and Transform Data from a CSV File
- Add Data from a Folder

After completing this module, students will be able to:
- Import data into excel.
- Shape and transform data.
- Load data.

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
- Import Data from SQL Server
- Import Data from a CSV File
- Create a Data Table

After completing this module, students will be able to:
- Identify available data sources.
- Preview, shape, and transform data.
- Explain table relationships and hierarchies.
- Load data from various 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
- Import Data from Excel
- Transform the Excel Data
- Load the Data into an Excel Data Model

After completing this module, students will be able to:
- Import data from Excel reports.
- Transform Excel report data.

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
- Last year comparison
- Year to date
- Market Share

After completing this module, 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.

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
- 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.

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
- Uploading Excel Data
- Creating a Power BI Dashboard

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