Course DA-100T00-A: Analyzing Data with Power BI

Microsoft

Course DA-100T00-A: Analyzing Data with Power BI

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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.

Audience Profile

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.

Prerequisites

Course outline

Module 1: Get Started with Microsoft Data Analytics

Module Overview

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 Sessions

Getting Started

Lab Lessons

Lab lessons not available

After completing this module, students 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

Module Overview

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 Sessions

Preparing Data in Power BI Desktop

Lab Lessons

Prepare Data

After completing this module, students 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

Module Overview

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 Sessions

Transforming and Loading Data

Lab Lessons

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

Module Overview

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 Sessions

Data Modeling in Power BI Desktop
Advanced Data Modeling in Power BI Desktop

Lab Lessons

Create Model Relationships
Configure Tables
Review the model interface
Create Quick Measures
Configure many-to-many relationships
Enforce row-level security

After completing this module, students 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 Measures using DAX in Power BI

Module Overview

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 Sessions

Introduction to DAX in Power BI Desktop
Advanced DAX in Power BI Desktop

Lab Lessons

Create calculated tables
Create calculated columns
Create measures
Use the CALCULATE() function to manipulate filter context
use Time Intelligence functions

After completing this module, students 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

Module Overview

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

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

Module 7: Create Reports

Module Overview

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 Sessions

Designing a report in Power BI
Enhancing Power BI reports with interaction and formatting

Lab Lessons

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

After completing this module, students 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

Module Overview

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 Sessions

Designing a report in Power BI Desktop

Lab Lessons

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

Module Overview

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 Sessions

Creating a Paginated report

Lab Lessons

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, students 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

Module Overview

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 Sessions

Data Analysis in Power BI Desktop

Lab Lessons

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, students 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

Module Overview

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 Sessions

Publishing and Sharing Power BI Content

Lab Lessons

Map security principals to dataset roles
Share a dashboard
Publish an App

After completing this module, students 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

Module Overview

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Create and work with parameters.
Manage datasets.
Configure dataset refresh.
Troubleshoot gateway connectivity.

Module 13: Row-level security

Module Overview

This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.

Lessons

Security in Power BI

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Understand the aspects of Power BI security.
Configure row-level security roles and group memberships.

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