What you’ll learn
After completing this course, students 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
Microsoft at DDLS
DDLS is your best choice for training and certification in any of Microsoft’s leading technologies and services. We’ve been delivering effective training across all Microsoft products for over 30 years, and are proud to be Australia’s First and largest Microsoft Gold Learning Solutions Partner. All DDLS Microsoft courses follow Microsoft Official Curriculum (MOC) and are led by Microsoft Certified Trainers. Join more than 5,000 students who attend our quality Microsoft courses every year.
Stay ahead of the technology curve
Don’t let your tech outpace the skills of your people
Quality instructors and content
Expert instructors with real world experience and the latest vendor- approved in-depth course content.
Chosen and awarded by the world’s leading vendors as preferred training partner.
Ahead of the technology curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Who is the course for?
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 visualise data from the data platform technologies that exist on both in the cloud and on-premises.
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.
Lab : Getting Started
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.
Lab : Preparing Data in Power BI Desktop
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.
Lab : Transforming and Loading 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 modelling issues, including relationships, security, and performance.
Lab : Data Modelling in Power BI Desktop
Lab : Advanced Data Modelling in Power BI Desktop
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.
Introduction to DAX
Lab : Introduction to DAX in Power BI Desktop
Lab : Advanced DAX in Power BI Desktop
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.
Optimze the model for performance
Optimize DirectQuery Models
Create and manage 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.
Design a report
Enhance the report
Lab : Designing a report in Power BI
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
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.
Create a Dashboard
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
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.
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
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.
Lab : Data Analysis in Power BI Desktop
Create animated scatter charts
Use the visual to forecast values
Work with Decomposition Tree visual
Work with the Key Influencers 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.
Lab : Publishing and Sharing Power BI Content
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.
Module 13: Row-level Security
This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.
Successful Data Analysts start this role with experience of working with data in the cloud.
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.
Prerequisite Courses (or equivalent knowledge):
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