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Analyzing Data with Power BI Training (DA-100)
Level: Intermediate
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
NEW! POWER BI BUNDLES NOW AVAILABLE
This course is now available as part of a multi-course, blended learning premium training bundle for a limited time! Take your Power BI skills and career to the next level with multi-modal learning path bundles that lead to certification.
Key Features of this Analyzing Data with Power BI Training:
- MOC Courseware
- After-course instructor coaching benefit
You Will Learn How To:
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI
Choose the Training Solution That Best Fits Your Individual Needs or Organizational Goals
LIVE, INSTRUCTOR-LED
In Class & Live, Online Training
- 4-day instructor-led training course
- One-on-one after course instructor coaching
- Pay later by invoice -OR- at the time of checkout by credit card
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In Class & Live, Online Training
Time Zone Legend:
Note: This course runs for 4 Days
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Sep 28 - Oct 1 9:00 AM - 4:30 PM EDT Online (AnyWare)
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Nov 2 - 5 9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare)
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Dec 7 - 10 9:00 AM - 4:30 PM EST Herndon, VA / Online (AnyWare)
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Dec 14 - 17 9:00 AM - 4:30 PM CST Austin / Online (AnyWare)
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Jan 11 - 14 9:00 AM - 4:30 PM EST New York / Online (AnyWare)
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Jan 25 - 28 9:00 AM - 4:30 PM EST Toronto / Online (AnyWare)
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Feb 8 - 11 9:00 AM - 4:30 PM MST Aurora / Online (AnyWare)
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Mar 8 - 11 9:00 AM - 4:30 PM EST Herndon, VA / Online (AnyWare)
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Apr 5 - 8 9:00 AM - 4:30 PM PDT Bellevue / Online (AnyWare)
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May 3 - 6 9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare)
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May 31 - Jun 3 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare)
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Jun 14 - 17 9:00 AM - 4:30 PM CDT Austin / Online (AnyWare)
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Jul 12 - 15 9:00 AM - 4:30 PM EDT New York / Online (AnyWare)
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Jul 26 - 29 9:00 AM - 4:30 PM EDT Toronto / Online (AnyWare)
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Aug 9 - 12 9:00 AM - 4:30 PM MDT Aurora / Online (AnyWare)
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Sep 6 - 9 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare)
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Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.Important Analyzing Data with Power BI Training Information
Software/Tools
This course utilizes SQL Server/PowerBI.
Prerequisites
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals Training (DP-900)
Successful Data Analysts start this role with experience of working with data in the cloud.
Specifically
- Understanding core data concepts.
- Knowledge of working with relational data in the cloud.
- Knowledge of working with non-relational data in the cloud.
- Knowledge of data analysis and visualization concepts.
Who Should Attend This Course
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Exam information
This course helps you prepare for Exam DA-100: Analyzing Data with Microsoft Power BI.
Analyzing Data with Power BI Training Outline
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Module 1: Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
Lessons
- Data Analytics and Microsoft
- Getting Started with Power BI
- Getting Started
- Explore the different roles in data
- Identify the tasks that are performed by a data analyst
- Describe the Power BI landscape of products and services
- Use the Power BI service
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Module 2: Prepare Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage, and understand the difference and performance implications of connecting directly to data vs. importing it.
Lessons
- Get data from various data sources
- Optimize performance
- Resolve data errors
- Prepare Data
- Identify and retrieve data from different data sources
- Understand the connection methods and their performance implications
- Optimize query performance
- Resolve data import errors
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Module 3: Clean, Transform, and Load Data in Power BI
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
Lessons
- Data shaping
- Enhance the data structure
- Data Profiling
- Loading Data
- Apply data shape transformations
- Enhance the structure of the data
- Profile and examine the data
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Module 4: Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
Lessons
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
- Create Model Relationships
- Configure Tables
- Review the model interface
- Create Quick Measures
- Configure many-to-many relationships
- Enforce row-level security
- Understand the basics of data modeling
- Define relationships and their cardinality
- Implement Dimensions and Hierarchies
- Create histograms and rankings
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Module 5: Create Measures using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
Lessons
- Introduction to DAX
- DAX context
- Advanced DAX
- Create calculated tables
- Create calculated columns
- Create measures
- Use the CALCULATE() function to manipulate filter context
- use Time Intelligence functions
- Understand DAX
- Use DAX for simple formulas and expressions
- Create calculated tables and measures
- Build simple measures
- Work with Time Intelligence and Key Performance Indicators
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Module 6: Optimize Model Performance
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
Lessons
- Optimze the model for performance
- Optimize DirectQuery Models
- Create and manage Aggregations
- Understand the importance of variables
- Enhance the data model
- Optimize the storage model
- Implement aggregations
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Module 7: Create Reports
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
Lessons
- Design a report
- Enhance the report
- Create a live connection in Power BI Desktop
- Design a report
- Configure visual fields adn format properties
- Create and configure Sync Slicers
- Create a drillthrough page
- Apply conditional formatting
- Create and use Bookmarks
- Design a report page layout
- Select and add effective visualizations
- Add basic report functionality
- Add report navigation and interactions
- Improve report performance
- Design for accessibility
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Module 8: Create Dashboards
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
Lessons
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
- Create a Dashboard
- Pin visuals to a Dashboard
- Configure a Dashboard tile alert
- Use Q&A to create a dashboard tile
- Create a Dashboard
- Understand real-time Dashboards
- Enhance Dashboard usability
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Module 9: Create Paginated Reports in Power BI
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
Lessons
- Paginated report overview
- Create Paginated reports
- Use Power BI Report Builder
- Design a multi-page report layout
- Define a data source
- Define a dataset
- Create a report parameter
- Export a report to PDF
- Explain paginated reports
- Create a paginated report
- Create and configure a data source and dataset
- Work with charts and tables
- Publish a report
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Module 10: Perform Advanced Analytics
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
Lessons
- Advanced Analytics
- Data Insights through AI visuals
- Create animated scatter charts
- Use teh visual to forecast values
- Work with Decomposition Tree visual
- Work with the Key Influencers visual
- Explore statistical summary
- Use the Analyze feature
- Identify outliers in data
- Conduct time-series analysis
- Use the AI visuals
- Use the Advanced Analytics custom visual
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Module 11: Create and Manage Workspaces
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
Lessons
- Creating Workspaces
- Sharing and Managing Assets
- Map security principals to dataset roles
- Share a dashboard
- Publish an App
- Create and manage a workspace
- Understand workspace collaboration
- Monitor workspace usage and performance
- Distribute an App
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Module 12: Manage Datasets in Power BI
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.
Lessons
- Parameters
- Datasets
- Create and work with parameters
- Manage datasets
- Configure dataset refresh
- Troubleshoot gateway connectivity
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Module 13: Row-level security
This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.
Lessons
- Security in Power BI
- Understand the aspects of Power BI security
- Configure row-level security roles and group memberships
- Security in Power BI
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Analyzing Data with Power BI Training FAQs
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Does this course lead to a Microsoft Certification?
Yes, this course is a requirement to be Microsoft Certified: Data Analyst Associate.
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Did the DA-100 Microsoft Certification replace the 20778 Microsoft Certification?
Yes, the Microsoft DA-100 Certification replaced the Microsoft 20778 certification, and the Learning Tree course 8574: Analyzing Data with Power BI Training (DA-100) replaced the Learning Tree course 8430: Analyzing Data with Power BI Training (20778)
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