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DA-100 Exam Format | DA-100 Course Contents | DA-100 Course Outline | DA-100 Exam Syllabus | DA-100 Exam Objectives

Exam Number : DA-100


Exam Name : Analyzing Data with Microsoft Power BI





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.





Skills Gained


- 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





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.





Course outline


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


Lab : Getting Started


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


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


Lab : Preparing Data in Power BI Desktop


Prepare Data





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


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


Lab : Transforming and Loading Data


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


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


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


Module 5: Create Model Calculations 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


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


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





After completing this module, you will be able to:





Understand the importance of variables


Enhance the data model


Optimize the storage model


Implement aggregations


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


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


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


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


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


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


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


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


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


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


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





After completing this module, you will be able to:





Create and work with parameters


Manage datasets


Configure dataset refresh


Troubleshoot gateway connectivity


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





After completing this module, you will be able to:





Understand the aspects of Power BI security


Configure row-level security roles and group memberships

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