Course Outline
Module 1: Getting Started with Microsoft Data Analytics
This module examines the various roles within the data domain, outlining the key responsibilities of a Data Analyst, and introduces the broader landscape of the Power BI portfolio.
Lessons
- Data Analytics and Microsoft
- Introduction to Power BI
Lab : Getting Started
- Getting Started
Upon completion of this module, you will be able to:
- Explore the different roles in the data field
- Identify the tasks performed by a data analyst
- Describe the Power BI product and service landscape
- Utilize the Power BI service
Module 2: Preparing Data in Power BI
This module covers identifying and retrieving data from various sources. You will examine connectivity and data storage options, as well as the differences and performance implications of direct connections versus data import.
Lessons
- Retrieving data from various sources
- Performance optimization
- Resolving 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 sources
- Understand connection methods and their performance impact
- Optimize query performance
- Resolve data import errors
Module 3: Cleaning, Transforming, and Loading Data in Power BI
This module guides you through the process of profiling and assessing data quality. You will learn to identify anomalies, analyze data size and structure, and execute the necessary cleaning and transformation steps to prepare data for the model.
Lessons
- Data shaping
- Enhancing 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: Designing a Data Model in Power BI
This module covers the essential concepts of designing and developing data models for optimal performance and scalability. It also addresses common data modeling challenges, including relationships, security, and performance issues.
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: Creating Measures using DAX in Power BI
This module introduces the capabilities of DAX for enhancing data models. You will learn about aggregations, the concepts of Measures, calculated columns and tables, and Time Intelligence functions to address calculation and analysis challenges.
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: Optimizing Model Performance
This module introduces the steps, processes, and best practices required to optimize data models 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: Creating Reports
This module covers the core principles of designing and building reports, including selecting appropriate visuals, designing page layouts, and applying essential functionality. It also addresses the critical aspect of designing for accessibility.
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: Creating Dashboards
In this module, you will learn how to convey compelling stories using dashboards and utilize navigation tools to facilitate user movement. You will explore features and functionalities to enhance dashboard usability and insights.
Lessons
- Create a Dashboard
- Real-time Dashboards
- 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
After completing this module, students will be able to:
- Create a Dashboard
- Understand real-time Dashboards
- Enhance Dashboard usability
Module 9: Creating Paginated Reports in Power BI
This module provides an overview of paginated reports and their role within Power BI. It then guides you through the process of building and publishing a report.
Lessons
- Paginated report overview
- Create Paginated reports
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
After completing this module, you will be able to:
- Explain paginated reports
- Create a paginated report
- Create and configure a data source and dataset
- Work with charts and tables
- Publish a report
Module 10: Performing Advanced Analytics
This module helps you apply advanced features to enhance reports for analytical insights, equipping you with the skills to use reports for actual data analysis. You will also perform advanced analytics using AI visuals to gain deeper and more meaningful data insights.
Lessons
- Advanced Analytics
- Data Insights through AI visuals
Lab : Data Analysis in Power BI Desktop
- Create animated scatter charts
- Use teh visual to forecast values
- Work with Decomposition Tree visual
- Work with the Key Influencers visual
After completing this module, you will be able to:
- Explore statistical summary
- Use the Analyze feature
- Identify outliers in data
- Conduct time-series analysis
- Use the AI visuals
- Use the Advanced Analytics custom visual
Module 11: Creating and Managing Workspaces
This module introduces Workspaces, covering their creation and management. You will also learn how to share content, such as reports and dashboards, and how to distribute an App.
Lessons
- Creating Workspaces
- Sharing and Managing Assets
Lab : Publishing and Sharing Power BI Content
- Map security principals to dataset roles
- Share a dashboard
- Publish an App
After completing this module, you will be able to:
- Create and manage a workspace
- Understand workspace collaboration
- Monitor workspace usage and performance
- Distribute an App
Module 12: Managing 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.
Lessons
- Parameters
- Datasets
After completing this module, you will be able to:
- Create and work with parameters
- Manage datasets
- Configure dataset refresh
- Troubleshoot gateway connectivity
Module 13: Row-level security
This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.
Lessons
- Security in Power BI
After completing this module, you will be able to:
- Understand the aspects of Power BI security
- Configure row-level security roles and group memberships
Requirements
Data analysts entering this role typically possess experience working with cloud-based data.
Specifically:
- Familiarity with fundamental data concepts.
- Experience working with relational data in cloud environments.
- Experience working with non-relational data in cloud environments.
- Understanding of data analysis and visualization principles.
You can acquire these prerequisites and deepen your understanding of data management in Azure by completing Microsoft Azure Data Fundamentals prior to enrolling in this course.
Audience profile
This course is designed for data and business intelligence professionals seeking to master accurate data analysis using Power BI. It is also suitable for individuals who develop reports that visualize data from platform technologies located both in the cloud and on-premises.
Job role: Data Analyst
Preparation for exam: DA-100
Features: none
Testimonials (5)
The coding and analysis, how the information come together in a report which will be useful for my work
Nokuthula Dhludhlu - National Transmission Company South Africa
Course - Analyzing Data with Power BI
opened my thinking on how to apply the knowledge gained.
Gabriel Govender - National Transmission Company South Africa
Course - Analyzing Data with Power BI
I liked that it demonstrated practical examples that I can apply in my day-to-day work which will improve my reports.
Nondumiso Mthembu - National Transmission Company South Africa
Course - Analyzing Data with Power BI
Blessing made sure that he knows every one , and referred every candidate by their name which is excellent. He is a well experienced Trainer and has patience, and very helpful to all the candidates. Trainer like him make the training more interesting. Wish to have him allocated to my next training that I will be doing with your company.
Alfred Mashala - National Transmission Company South Africa
Course - Analyzing Data with Power BI
I loved everything about the training especially the dashboard presentations
