Analyzing Data with Power BI - DA-100 Course Outline

(4 Days)

Overview

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

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.

At Course Completion

After completing this course, you will be able 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

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 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

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-ti