Course Outline
Module 1: Introduction to Microsoft Data Analytics
This module examines the various roles within the data landscape, defines the key responsibilities of a Data Analyst, and provides an overview of the Power BI product portfolio.
Lessons
- Data Analytics and Microsoft
- Beginning with Power BI
Lab: Getting Started
- Getting Started
Upon completing this module, you will be able to:
- Explore the different roles in the data field
- Identify the core tasks performed by a data analyst
- Describe the Power BI ecosystem of products and services
- Navigate and use the Power BI service
Module 2: Data Preparation in Power BI
This module focuses on identifying and retrieving data from various sources. You will explore connectivity options and data storage methods, understanding the performance implications of connecting directly to data versus importing it.
Lessons
- Retrieving data from various sources
- Performance optimization
- Resolving data errors
Lab: Preparing Data in Power BI Desktop
- Prepare Data
Upon completing this module, you will be able to:
- Identify and fetch data from different sources
- Understand connection methods and their impact on performance
- Optimize query performance
- Fix data import errors
Module 3: Cleaning, Transforming, and Loading Data in Power BI
This module guides you through profiling data to understand its condition. You will learn to detect anomalies, assess data size and structure, and execute appropriate cleaning and transformation steps to prepare data for model loading.
Lessons
- Data shaping
- Enhancing data structure
- Data profiling
Lab: Transforming and Loading Data
- Loading Data
Upon completing this module, students will be able to:
- Apply data shape transformations
- Enhance data structure
- Profile and analyze data
Module 4: Data Model Design in Power BI
This module covers the fundamentals of designing and developing data models for optimal performance and scalability. It also addresses common data modeling challenges, including relationship management, 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 fundamentals
- 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 capabilities for enhancing models. You will learn about 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 modify filter context
- Apply Time Intelligence functions
Upon completing this module, you will be able to:
- Understand DAX syntax and logic
- Use DAX for basic formulas and expressions
- Create calculated tables and measures
- Develop simple measures
- Utilize Time Intelligence and KPIs
Module 6: Optimizing Model Performance
This module introduces the steps, processes, and best practices required 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 structure
- Optimize the storage model
- Implement aggregations
Module 7: Creating Reports
This module covers the principles of designing and building reports, including selecting appropriate visuals, designing page layouts, and applying essential functionalities. It also emphasizes 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 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 report page layouts
- Select and add effective visualizations
- Add basic report functionality
- Implement 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 leverage navigation tools. It introduces key features to enhance dashboard usability and extract deeper 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, 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 explains paginated reports, their role within Power BI, and how to build and publish them effectively.
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 equips you to apply advanced features for deeper analytical insights. You will learn to use reports for practical data analysis and employ AI visuals to uncover 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 the 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
- Leverage 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 publish datasets to the Power BI service, refresh them, and implement security measures.
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 Power BI assets.
Lessons
- Security in Power BI
Upon completing this module, you will be able to:
- Understand the components of Power BI security
- Configure row-level security roles and group memberships
Requirements
Aspiring Data Analysts should possess prior experience working with cloud-based data.
Specifically, you should have:
- A solid grasp of core data concepts.
- Proficiency in handling relational data in cloud environments.
- Proficiency in handling non-relational data in cloud environments.
- A strong understanding of data analysis and visualization principles.
To strengthen your foundational knowledge of data management in Azure, it is recommended to complete Microsoft Azure Data Fundamentals before beginning this course.
Target Audience
This course is designed for data professionals and business intelligence specialists seeking to master accurate data analysis using Power BI. It is also ideal for individuals who develop reports that visualize data from platforms existing both in the cloud and on-premises.
Job Role: Data Analyst
Exam Preparation: DA-100
Key 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
