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DA-100: Analyzing Data with Power BI Training


Given the higher demand for data analyst, Microsoft has introduced a new DA-100: Analyzing Data with Microsoft Power BI certification exam. This type of certification is truly beneficial.

  • Accredited By : Microsoft Partner Logo
  • Category : Power BI

Course Price : $On Request Per Participant

Course Description

Note: PL-300T00: Power BI Data Analyst is the replacement course for DA-100T00: Analyzing Data with Power BI which was retired on March 31, 2022.

Given the higher demand for data analyst, Microsoft has introduced a new DA-100: Analyzing Data with Microsoft Power BI certification exam. This type of certification is truly beneficial. They validate your skill and understanding plus equip you with the industry-relevant expertise for making use of Power BI. As a Data Analyst, your responsibility will be to allow businesses to increase the worth of their data assets using MS Power BI. 

This exam mainly equips the learners with the expertise to turn out as a subject matter expert who is accountable to carry out the following tasks

  • At first, Design and build scalable data models
  • Second, Clean and transform data
  • Finally, Enable advanced analytic abilities to give meaningful value to your business using simple-to-understand data visualizations.

Moreover, Data Analysts also team up with key stakeholders across sectors to deliver related insights on the basis of identified business necessities. The Data Analyst must have a fundamental knowledge of data processing and data repositories both in the cloud and on-premises.

This training is designed based on the objectives of the course variant DA-100T00-A.

Microsoft Course Microsoft Course


experience experience

Years of Experience

learners learners

Global Learners

What you will learn

  • green-tick Explain the Power BI suite of products.
  • green-tick Explain self-service BI
  • green-tick Explain the Power BI developer API
  • green-tick Model data
  • green-tick Create reports and handle solutions
  • green-tick Explain the Power BI mobile app
  • green-tick Combine and shape data from varied sources
  • green-tick Both Connection to data sources & optimization data models


It is recommended to complete the following prerequisite before enrolling in this training:-

  • Analysts should have a proper understanding of data processes and data repositories when processing in the cloud and on-premises.
  • Additionally, professionals who wish to attend this course must have a clear knowledge of technical areas.
  • Recommended good understanding of Windows OS and its in-depth functionalities.
  • Recommended good knowledge of data warehouse schema topology.
  • Few introductions to the basic programming concepts likewise branching and looping.
  • Awareness of the key business priorities likewise financial account, revenue, and profitability.
  • Familiarity with utilizing Microsoft Office apps, especially Microsoft Excel.

Who should attend this course?

The target audience for this training is BI professionals and data professionals who are seeking to acquire knowledge in performing data analysis by utilizing Microsoft Power BI.

However, the training course is also designed for those professionals who want to develop reports that help in visualizing data from other data technologies that existed on both on-premises and cloud.

Microsoft Learning PartnerMicrosoft Learning Partner

Microtek Learning is a Microsoft Certified Partner for Learning Solutions. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).


Oops! For this course, there are currently no public schedules available. Clicking on "Notify Me" will allow you to express your interest.

For dates, times, and location customization of this course, get in touch with us.

You can also speak with a learning consultant by calling 800-961-0337.


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.

  • Data Analytics and Microsoft
  • Getting Started with Power BI
  • Lab: Getting Started

    After completing this module, you will be able to:

  • 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
  • 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.

  • Get data from various data sources
  • Optimize performance
  • Resolve data errors
  • Lab: Preparing Data in Power BI Desktop

    After completing this module, you will be able to:

  • Identify and retrieve data from different data sources
  • Understand the connection methods and their performance implications
  • Optimize query performance
  • Resolve data import errors
  • 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.

  • Data shaping
  • Enhance the data structure
  • Data Profiling
  • Lab: Transforming and Loading Data

    After completing this module, students will be able to:

  • Apply data shape transformations
  • Enhance the structure of the data
  • Profile and examine the data
  • 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.

  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies
  • Lab: Data Modeling in Power BI Desktop

  • Create Model Relationships
  • Configure Tables
  • Review the model interface
  • Create Quick Measures
  • Lab: Advanced Data Modeling in Power BI Desktop

  • Configure many-to-many relationships
  • Enforce row-level security
  • After completing this module, you will be able to:

  • Understand the basics of data modeling
  • Define relationships and their cardinality
  • Implement Dimensions and Hierarchies
  • Create histograms and rankings
  • 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.

  • Introduction to DAX
  • DAX context
  • Advanced DAX
  • Lab: Introduction to DAX in Power BI Desktop

  • Create calculated tables
  • Create calculated columns
  • Create measures
  • Lab: Advanced DAX in Power BI Desktop

  • Use the CALCULATE() function to manipulate filter context
  • Use Time Intelligence functions
  • After completing this module, you will be able to:

  • 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
  • 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.

  • Optimze the model for performance
  • Optimize DirectQuery Models
  • Create and manage Aggregations
  • After completing this module, you will be able to:

  • Understand the importance of variables
  • Enhance the data model
  • Optimize the storage model
  • Implement aggregations
  • 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.

  • Design a report
  • Enhance the report
  • Lab: Designing a report in Power BI

  • Create a live connection in Power BI Desktop
  • Design a report
  • Configure visual fields adn format properties
  • Lab: Enhancing Power BI reports with interaction and formatting

  • Create and configure Sync Slicers
  • Create a drillthrough page
  • Apply conditional formatting
  • Create and use Bookmarks
  • After completing this module, you will be able to:

  • 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
  • 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.

  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard
  • Lab: Designing a report in Power BI Desktop - Part 1

  • Create a Dashboard
  • Pin visuals to a Dashboard
  • Configure a Dashboard tile alert
  • Use Q&A to create a dashboard tile
  • After completing this module, students will be able to:

  • Create a Dashboard
  • Understand real-time Dashboards
  • Enhance Dashboard usability
  • 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.

  • Paginated report overview
  • Create Paginated reports
  • Lab: Creating a Paginated report

  • 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
  • After completing this module, you will be able to:

  • Explain paginated reports
  • Create a paginated report
  • Create and configure a data source and dataset
  • Work with charts and tables
  • Publish a report
  • 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.

  • Advanced Analytics
  • Data Insights through AI visuals
  • Lab: Data Analysis in Power BI Desktop

  • Create animated scatter charts
  • Use teh visual to forecast values
  • Work with Decomposition Tree visual
  • Work with the Key Influencers visual
  • After completing this module, you will be able to:

  • 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
  • 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.

  • Creating Workspaces
  • Sharing and Managing Assets
  • Lab: Publishing and Sharing Power BI Content

  • Map security principals to dataset roles
  • Share a dashboard
  • Publish an App
  • After completing this module, you will be able to:

  • Create and manage a workspace
  • Understand workspace collaboration
  • Monitor workspace usage and performance
  • Distribute an App
  • 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.

  • Parameters
  • Datasets
  • After completing this module, you will be able to:

  • Create and work with parameters
  • Manage datasets
  • Configure dataset refresh
  • Troubleshoot gateway connectivity
  • This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.

  • Security in Power BI
  • After completing this module, you will be able to:

  • Understand the aspects of Power BI security
  • Configure row-level security roles and group memberships
  • What Exam Do I Need To Get Certified?

    • Exam DA-100


    This course is for anybody who wants to learn Microsoft Power BI and mostly ideal for ideal for data analysts, data scientists, BI professionals, IT managers, and for those who wants to clear DA-100 exam.

    Yes, Microtek Learning is a Microsoft partner to deliver all training worldwide.

    Microtek Learning provides:

  • Instructor-led classroom training
  • Instructor-led Live online training
  • Blended training
  • On-demand training
  • Private-Group training
  • No, the training cost does not include the examination cost.

    Yes, the Microsoft DA-100 Certification replaced the Microsoft 20778 certification.

    Once you clear the DA-100 exam then your Microsoft Certified: Data Analyst Associate certification will be valid for two years.

    For any information regarding this you can mail us at info@microteklearning.com, call us at +1-800-961-0337 or chat with us.

    Course Details

    • cert cert-green
      Certification: YES
    • skill skill-green
      Skill Level: Intermediate
    • enroll enroll-green
      Enrolled: 1574
    • duration duration green
      Duration: 4 Days

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