Course Outline
Module 1: Get Started with Microsoft Data Analytics
This module explores various roles in the data space, outlines the key responsibilities of a Data Analyst, and introduces the Power BI product landscape.
Lessons
- Data Analytics and Microsoft
- Getting Started with Power BI
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
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Describe the Power BI landscape of products and services
- Use the Power BI service
Module 2: Getting Data in Power BI
This module focuses on identifying and retrieving data from various sources. You will learn about connectivity options and data storage, understanding the differences and performance implications of direct connections versus imported data.
Lessons
- Data Analytics and Microsoft
- Optimize Performance
- Resolve Data Errors
Lab : Preparing Data in Power BI Desktop
- Prepare Data
After completing this module, students will be able to:
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Identify and retrieve data from different data sources
- Understand the connection methods and their performance implications
- Use Microsoft Dataverse
- Connect to a data flow
Module 3: Cleaning, Transforming, and Loading Data in Power BI
This module teaches the process of profiling data to understand its condition. You will learn to identify anomalies, assess data size and shape, and perform appropriate cleaning and transformation steps to prepare data for loading into the model.
Lessons
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Shaping the Data
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Profiling the Data
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Enhance the data structure
Lab : Loading Data in Power BI Desktop
- Loading Data
After completing this module, students will be able to:
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Apply data shape transformations
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Enhance the structure of the data
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Profile and examine the data
Module 4: Design a Data Model in Power BI
This module covers the fundamental concepts of designing and developing a data model for optimal performance and scalability. It also helps you address common data modeling challenges, such as relationships, security, and performance.
Lessons
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Introduction to data modeling
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Working with tables
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Dimensions and Hierarchies
Lab : Data Modeling in Power BI Desktop
- Create Model Relationships
- Configure Tables and Column Properties
- Create hierarchies
After completing this module, students will be able to:
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Understand the basics of data modeling
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Define relationships and their cardinality
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Implement Dimensions and Hierarchies
Module 5: Create Model Calculations using DAX in Power BI
This module introduces you to DAX and its power for enhancing data models. You will learn about aggregations, as well as the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
Lessons
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Introduction to DAX
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Real-time dashboards
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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, students will be able to:
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Understand DAX
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Use DAX for simple formulas and expressions
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Create calculated tables and measures
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Build simple measures
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Work with Time Intelligence and Key Performance Indicators
Module 6: Optimize Model Performance in Power BI
In this module, you will explore the steps, processes, concepts, and best practices in data modeling required to optimize a data model for enterprise-level performance.
Lessons
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Optimize the data model for performance
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Optimize DirectQuery Models
After completing this module, students will be able to:
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Understand the importance of variables
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Enhance the data model
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Optimize the storage model
Module 7: Create Reports in Power BI
This module introduces the fundamental concepts and principles of designing and building reports, including selecting appropriate visuals, designing page layouts, and applying critical basic functionality. It also covers the important topic of designing for accessibility.
Lessons
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Design a report
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Enhance the report
Lab : Enhancing reports with interaction and formatting in Power BI Desktop
- Create and configure Sync Slicers
- Create a drillthrough page
- Apply conditional formatting
- Create and use Bookmarks
Lab : Designing a report in Power BI Desktop
- Design a report
- Configure visual fields and format properties
After completing this module, students will be able to:
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Design a report page layout
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Select and add effective visualizations
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Add basic report functionality
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Add report navigation and interactions
Module 8: Create Dashboards in Power BI
In this module, you will learn to tell a compelling story using dashboards and various navigation tools. You will be introduced to key features and functionality, learning how to enhance dashboards for better usability and insights.
Lessons
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Create a Dashboard
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Real-time Dashboards
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Enhance a Dashboard
Lab : Creating a Dashboard in Power BI Service
- Create a Dashboard
- Pin visuals to a Dashboard
- Use Q&A to create a dashboard tile
After completing this module, students will be able to:
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Create a Dashboard
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Understand real-time Dashboards
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Enhance Dashboard usability
Module 9: Identify Patterns and Trends in Power BI
This module helps you apply additional features to enhance reports for analytical insights, equipping you with the steps to use reports for actual data analysis. You will also perform advanced analytics using AI visuals to gain deeper and more meaningful insights from data.
Lessons
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Advanced Analytics
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Data Insights through AI visuals
Lab : Data Analysis in Power BI Desktop
- Create animated scatter charts
- Use the visual to forecast values
After completing this module, students will be able to:
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Use the Analyze feature
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Identify outliers in data
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Use the AI visuals
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Use the Advanced Analytics custom visual
Module 10: Create and Manage Workspaces in Power BI
This module introduces Workspaces, including how to create and manage them. You will also learn how to share content, such as reports and dashboards, and how to distribute an App.
Lessons
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Creating Workspaces
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Sharing and Managing Assets
After completing this module, students will be able to:
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Create and manage a workspace
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Understand workspace collaboration
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Monitor workspace usage and performance
- Distribute an App
Module 11: Manage Files and Datasets in Power BI
This module introduces parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options.
Lessons
- Parameters
- Datasets
After completing this module, students will be able to:
- Manage datasets and parameters
- Build dynamic reports with parameters
- Schedule dataset refresh
- Troubleshoot gateway service connectivity
Module 12: Row-level Security in Power BI
This module introduces row-level security, covering both static and dynamic methods, and demonstrates how to implement them.
Lessons
- Security in Power BI
Lab : Enforce Row-Level Security
- Configure many-to-many relationships
- Enforce row-level security
After completing this module, students will be able to:
- Implement row-level security using both the Static and Dynamic methods
Testimonials (2)
The basic structure of Power BI, its main functions, as well as some advanced functions
Alessandro Binaghi - Great Place to Work(R) Institute Italia Srl
Course - PL-300: Microsoft Power BI Data Analyst
Lot of features usable in our processes
