Course Outline
Module 1: Introduction to Microsoft Data Analytics
This module explores the various roles within the data ecosystem, 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
Lab: Getting Started
- Getting Started
Upon completing this module, you will be able to:
- Explore the different roles in data analytics
- Identify the typical tasks performed by a data analyst
- Describe the Power BI landscape of products and services
- Utilize the Power BI service
Module 2: Data Preparation in Power BI
This module focuses on identifying and retrieving data from various sources. You will also learn about connectivity and data storage options, and understand the performance implications of direct connections versus data import.
Lessons
- Retrieving data from various sources
- Optimizing performance
- Resolving data errors
Lab: Preparing Data in Power BI Desktop
- Prepare Data
Upon 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 how to identify anomalies, analyze data size and structure, and apply appropriate 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
Upon completing this module, you 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 fundamental concepts of designing and developing data models for optimal performance and scalability. It also addresses common data modeling challenges, including relationships, security, and performance.
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
Upon 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 DAX and its potential for enhancing data models. You will learn about aggregations, as well as the concepts of Measures, calculated columns, calculated tables, and Time Intelligence functions to solve calculation and analysis problems.
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
Upon 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 necessary to optimize data models for enterprise-level performance.
Lessons
- Optimize the model for performance
- Optimize DirectQuery Models
- Create and manage Aggregations
Upon 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 fundamental principles of designing and building reports, including selecting appropriate visuals, designing page layouts, and applying essential functionality. It also addresses the important topic 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 and 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
Upon 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 craft a compelling narrative using dashboards and various navigation tools. You will be introduced to key features and how to enhance dashboards for better 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
Upon completing this module, you will be able to:
- Create a Dashboard
- Understand real-time Dashboards
- Enhance Dashboard usability
Module 9: Creating Paginated Reports in Power BI
This module explains what paginated reports are and how they integrate with Power BI. It then guides you through the process of building and publishing such reports.
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
Upon 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 additional features to enhance reports for deeper analytical insights. You will learn how to use reports for actual data analysis and perform advanced analytics using AI visuals to uncover more meaningful patterns.
Lessons
- Advanced Analytics
- Data Insights through AI visuals
Lab: Data Analysis in Power BI Desktop
- Create animated scatter charts
- Use the forecast visual to predict values
- Work with Decomposition Tree visual
- Work with the Key Influencers visual
Upon completing this module, you will be able to:
- Explore statistical summaries
- Use the Analyze feature
- Identify outliers in data
- Conduct time-series analysis
- Use AI visuals
- Use the Advanced Analytics custom visual
Module 11: Creating and Managing Workspaces
This module introduces Workspaces, including how to create and manage them. It also covers sharing content, such as reports and dashboards, and distributing Apps.
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
Upon 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
Upon 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 protect Power BI assets.
Lessons
- Security in Power BI
Upon completing this module, you will be able to:
- Understand the aspects of Power BI security
- Configure row-level security roles and group memberships
Requirements
Aspiring Data Analysts typically enter this role with prior experience working with cloud-based data.
Specifically, you should have:
- An understanding of core data concepts.
- Familiarity with handling relational data in the cloud.
- Familiarity with handling non-relational data in the cloud.
- Knowledge of data analysis and visualization principles.
To build a stronger foundation and gain the necessary prerequisites for working with data in Azure, consider completing Microsoft Azure Data Fundamentals before 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 both cloud-based and on-premises platform technologies.
Target Job Role: Data Analyst
Exam Preparation: DA-100
Special 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