Course Outline
Module 1: Getting Started with Microsoft Data Analytics
This module examines various roles within the data landscape, outlines the key responsibilities of a Data Analyst, and provides an overview of the Power BI product portfolio.
Lessons
- Data Analytics and Microsoft
- Getting Started with Power BI
Upon completion of this module, students will be able to:
- Explore the various roles in data
- Identify tasks performed by a data analyst
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Describe the Power BI landscape of products and services
- Utilize the Power BI service
Module 2: Acquiring Data in Power BI
This module focuses on identifying and retrieving data from various sources. It covers connectivity options and data storage, explaining 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
Upon completion of this module, students will be able to:
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Identify and retrieve data from different data sources
- Understand 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 and assessing data quality. Learners will identify anomalies, analyze data size and structure, and apply 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
Upon completion of 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: Designing a Data Model in Power BI
This module covers the fundamental concepts of designing and developing data models for proper performance and scalability. It also addresses common data modeling challenges, including relationships, security, and performance optimization.
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
Upon completion of 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: Creating Model Calculations Using DAX in Power BI
This module introduces DAX and its capability to enhance data models. Learners will explore aggregations, measures, calculated columns and tables, and Time Intelligence functions to solve calculation and 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
Upon completion of 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: Optimizing Model Performance in Power BI
This module presents the steps, processes, and best practices required to optimize data models for enterprise-level performance.
Lessons
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Optimize the data model for performance
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Optimize DirectQuery Models
Upon completion of 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: Creating Reports in Power BI
This module introduces the core principles of report design and construction, including visual selection, page layout design, and essential functionality. It also emphasizes the importance 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
Upon completion of 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: Creating Dashboards in Power BI
In this module, you will learn to craft compelling narratives using dashboards and leverage various navigation tools. It introduces key features and techniques to enhance dashboard usability and insight generation.
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
Upon completion of 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: Identifying Patterns and Trends in Power BI
This module focuses on applying advanced features to enhance reports for analytical insights. It equips learners with the skills to use reports for actual data analysis and perform advanced analytics using AI visuals for deeper, meaningful insights.
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
Upon completion of 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: Creating and Managing Workspaces in Power BI
This module introduces Workspaces, covering their creation and management. It also details how to share content, such as reports and dashboards, and how to distribute Apps.
Lessons
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Creating Workspaces
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Sharing and Managing Assets
Upon completion of 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: Managing Files and Datasets in Power BI
This module covers parameters and datasets. It teaches how to manage these elements, build dynamic reports using parameters, and configure dataset refresh options.
Lessons
- Parameters
- Datasets
Upon completion of 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, explaining both static and dynamic methods and providing guidance on implementation.
Lessons
- Security in Power BI
Lab: Enforcing Row-Level Security
- Configure many-to-many relationships
- Enforce row-level security
Upon completion of 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
