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MS 20778: Microsoft Power BI Certification Course, Power BI Certification Training

Overview

Analyze Data with Power BI (20778): Overview

Businesses or governments that respond to market changes quickly get an edge over the competition. Data is an ever-increasing thing in every space. Data analytics helps us know what has happened or is happening (descriptive analytics), why it happened or happening (diagnostic analytics), what’s going to happen (predictive analytics) and what can be done (prescriptive analytics).

The need to harness the datasets has raised the demand for data scientist or business intelligence analyst. Power BI certification training prepares you to perform the job in the best possible manner. SpireTec helps corporates and IT professionals to make use of the Power BI capabilities and gain data insights.

What’s Covered in Power BI (20778) Course

  1. Understand self-service BI
  2. Describe the Power BI suite of products
  3. Connect to data sources and optimize data models
  4. Shape and combine data from different sources
  5. Model data
  6. Create reports and manage solutions
  7. Describe the Power BI developer API
  8. Describe the Power BI mobile app

Who Should Take Power BI Certification Training?

BI Professionals

Aspiring or experienced BI Professionals should take this Microsoft Power BI Certification course to develop skills regarding data analytics. It helps them perform better at their workspace and get better compensation.

Business Users

If you run a business, Power BI Certification can help you analyze data effectively and easily. You can learn customer’s preferences, obstacles in the business operations, challenges in the market and what needs to be done.

Students

IT and Non-IT students can take help of the Power BI Certification Training to learn the art of data analysis and processing. It not only helps them score better grades but also to stay future ready with high employability.

Prerequisites for Microsoft Power BI Certifications

The following skills have been set as prerequisites as they make it easy for you to understand and make the best of the training investment.

  1. Understanding of Microsoft Windows operating system and its core functionality
  2. Basic knowledge of data warehouse schema topology (including star and snowflake schemas)
  3. Exposure to basic programming concepts (such as looping and branching)
  4. An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable
  5. Familiarity with Microsoft Office applications – particularly Excel

Recommended course

55045: Microsoft SharePoint 2013 End to End Business Intelligence

Full Description

 Module 1: Introduction to Self-Service BI Solutions

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

Lessons

  1. Introduction to business intelligence
  2. Introduction to data analysis
  3. Introduction to data visualization
  4. Overview of self-service BI
  5. Considerations for self-service BI
  6. 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

  1. Power BI
  2. 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

  1. Using Excel as a data source for Power BI
  2. The Power BI data model
  3. Using databases as a data source for Power BI
  4. 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 the 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

  1.  Power BI desktop queries
  2. Shaping data
  3. 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

  1. Relationships
  2. DAX queries
  3. 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

  1. Cloud data
  2. 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 models running in multidimensional mode.

 

Module 8: The Developer API

This module describes the developer API within Power BI.

Lessons

  1. The developer API
  2. 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

  1. Power BI mobile apps
  2. Using the Power BI mobile app
  3. Power BI embedded

Fees & Schedule

Delivery Mode Course Duration Fees
Live Virtual Training 3 Days Ask for Quote
Onsite Classroom Training 3 Days Ask for Quote
Customized Training 3 Days Ask for Quote

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