Course Outline
Module 1: Introduction to Microsoft Data Analytics
This module examines the various roles within the data sector, highlights the key responsibilities of a Data Analyst, and provides an overview of the Power BI product landscape.
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
- Identify the tasks performed by a data analyst
- Describe the Power BI product and service landscape
- Utilize the Power BI service
Module 2: Data Preparation in Power BI
This module focuses on identifying and retrieving data from various sources. It also covers connectivity and storage options, helping you understand the performance implications of direct data connections versus importing data.
Lessons
- Retrieving data from various sources
- Performance optimization
- Resolving data errors
Lab: Preparing Data in Power BI Desktop
- Data Preparation
Upon completing this module, you will be able to:
- Identify and retrieve data from diverse 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 profiling and assessing data conditions. You will learn to identify anomalies, analyze data size and structure, and execute necessary cleaning and transformation steps to ready the data for the model.
Lessons
- Data shaping
- Enhancing data structure
- Data Profiling
Lab: Transforming and Loading Data
- Data Loading
Upon completing this module, you will be able to:
- Apply data shape transformations
- Enhance data structure
- Profile and examine data
Module 4: Designing Data Models in Power BI
This module teaches the fundamentals of designing data models for optimal performance and scalability. It also addresses common modeling challenges, such as relationships, security, and performance tuning.
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 data modeling basics
- Define relationships and cardinality
- Implement Dimensions and Hierarchies
- Create histograms and rankings
Module 5: Creating Measures with DAX in Power BI
This module introduces DAX and its potential to enhance data models. You will explore aggregations, measures, calculated columns and tables, and Time Intelligence functions to solve complex 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
- Apply DAX to simple formulas and expressions
- Create calculated tables and measures
- Build basic measures
- Work with Time Intelligence and Key Performance Indicators
Module 6: Optimizing Model Performance
This module covers the steps, processes, and best practices required to optimize data models for enterprise-level performance.
Lessons
- Optimizing the model for performance
- Optimizing DirectQuery Models
- Creating and managing 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 core principles of report design and construction, including visual selection, page layout, and essential functionality. It also addresses the critical aspect of designing for accessibility.
Lessons
- Designing a report
- Enhancing a 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 to craft compelling narratives using dashboards and various navigation tools. You will be introduced to features that enhance dashboard usability and insights.
Lessons
- Creating a Dashboard
- Real-time Dashboards
- Enhancing 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 paginated reports and their role within Power BI. You will then learn how to build and publish these reports.
Lessons
- Paginated report overview
- Creating 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 equips you to apply advanced features for deeper analytical insights. You will learn to use AI visuals to perform complex data analysis for meaningful results.
Lessons
- Advanced Analytics
- Data Insights through AI visuals
Lab: Data Analysis in Power BI Desktop
- Create animated scatter charts
- Use the visual to forecast values
- Work with Decomposition Tree visual
- Work with the Key Influencers visual
Upon 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 distribute 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 to manage Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, and handle their refresh and security.
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 guides you through implementing and configuring security in Power BI to protect your 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 should possess experience working with cloud-based data when starting this role.
Specifically, you should have:
- A solid grasp of fundamental data concepts.
- Proficiency in handling relational data in the cloud.
- Proficiency in handling non-relational data in the cloud.
- Knowledge of data analysis and visualization principles.
To build these prerequisites and deepen your understanding of data operations in Azure, consider completing Microsoft Azure Data Fundamentals before enrolling in this course.
Audience profile
This course is designed for data professionals and business intelligence specialists aiming 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
Exam preparation: DA-100
Prerequisites: 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
