Course Outline
Module 1: Introduction to Microsoft Data Analytics
This module examines the diverse roles within the data ecosystem, delineates the core duties and responsibilities of Data Analysts, 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, participants 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: Data Acquisition in Power BI
This module addresses the identification and retrieval of data from various source systems. It examines connectivity options and storage mechanisms, clarifying the distinctions and performance implications associated with direct connections versus data importation.
Lessons
- Data Analytics and Microsoft
- Optimize Performance
- Resolve Data Errors
Lab : Preparing Data in Power BI Desktop
- Prepare Data
Upon completion of this module, participants 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: Data Cleaning, Transformation, and Loading in Power BI
This module details the procedures for profiling and assessing data integrity. It instructs participants on identifying anomalies, evaluating data dimensions, and executing necessary cleaning and transformation steps to prepare data for model loading.
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, participants 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: Data Model Design in Power BI
This module establishes the fundamental principles of designing and developing data models optimized for performance and scalability. It addresses common data modeling challenges, including relationship management, security protocols, 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, participants 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: Model Calculations using DAX in Power BI
This module introduces the capabilities of DAX for enhancing analytical models. Participants will acquire knowledge of aggregations, the concepts of Measures, calculated columns and tables, and Time Intelligence functions to resolve complex calculation and data analysis requirements.
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, participants 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: Model Performance Optimization in Power BI
This module presents the steps, processes, concepts, and data modeling best practices required to optimize data models for enterprise-level performance standards.
Lessons
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Optimize the data model for performance
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Optimize DirectQuery Models
Upon completion of this module, participants 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: Report Creation in Power BI
This module covers the fundamental concepts and principles of report design and construction, including the selection of appropriate visuals, page layout design, and the application of essential functionality. It also addresses the critical requirement for designing accessible reports.
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, participants 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: Dashboard Creation in Power BI
This module instructs participants on how to convey data narratives effectively through dashboards and utilize navigation tools. It introduces features and functionality designed to enhance dashboard usability and facilitate 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, participants 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: Pattern and Trend Identification in Power BI
This module enables participants to apply additional features to enhance reports for analytical insights, equipping them with the procedures necessary for substantive data analysis. It also covers the execution of advanced analytics using AI visuals to derive deeper and more meaningful data 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, participants 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: Workspace Creation and Management in Power BI
This module introduces the management of Workspaces, including creation and administration procedures. It further covers the sharing of content, such as reports and dashboards, and the distribution of applications.
Lessons
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Creating Workspaces
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Sharing and Managing Assets
Upon completion of this module, participants 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: File and Dataset Management in Power BI
This module introduces the concepts of parameters and datasets. It provides guidance on managing datasets and parameters, constructing dynamic reports using parameters, and configuring dataset refresh options.
Lessons
- Parameters
- Datasets
Upon completion of this module, participants 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, encompassing both static and dynamic methodologies, and provides instruction on their implementation.
Lessons
- Security in Power BI
Lab : Enforce Row-Level Security
- Configure many-to-many relationships
- Enforce row-level security
Upon completion of this module, participants 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
