Course Outline
Module 1: Get Started with Microsoft Data Analytics
This module explores various roles within the data space, outlines the key responsibilities of a Data Analyst, and examines the Power BI portfolio landscape.
Lessons
- Data Analytics and Microsoft
- Getting Started with Power BI
Lab : Getting Started
- Getting Started
After completing this module, you will be able to:
- Explore different roles in the data field
- Identify tasks performed by a data analyst
- Describe the Power BI landscape of products and services
- Use the Power BI service
Module 2: Prepare Data in Power BI
This module focuses on identifying and retrieving data from various sources. You will learn about connectivity options and data storage, understanding the differences and performance implications of connecting directly to data versus importing it.
Lessons
- Get data from various data sources
- Optimize performance
- Resolve 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 implications
- Optimize query performance
- Resolve data import errors
Module 3: Clean, Transform, and Load Data in Power BI
This module teaches you how to profile and understand the state of your data. You will learn to identify anomalies, assess data size and shape, and perform necessary cleaning and transformation steps to prepare data for loading into the model.
Lessons
- Data shaping
- Enhance the 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: Design a Data Model in Power BI
This module teaches fundamental concepts for designing and developing a data model that ensures proper performance and scalability. It also helps you understand and address common data modeling issues, 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
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: Create Measures using DAX in Power BI
This module introduces DAX and its powerful capabilities for enhancing a model. You will learn about aggregations, the concepts of Measures, calculated columns, and tables, as well as Time Intelligence functions to solve calculation and data 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
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: Optimize Model Performance
In this module, you are introduced to the steps, processes, concepts, and data modeling best practices required to optimize a data model for enterprise-level performance.
Lessons
- Optimize 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: Create Reports
This module introduces the fundamental concepts and principles of designing and building a report, including selecting appropriate visuals, designing page layouts, and applying critical functionality. It also covers the essential 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
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: Create Dashboards
In this module, you will learn how to tell a compelling story through dashboards and use various navigation tools. You will be introduced to features and functionality that 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: Create Paginated Reports in Power BI
This module explains what paginated reports are and how they fit into Power BI. You will then learn how to build and publish 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: Perform Advanced Analytics
This module helps you apply additional features to enhance reports for analytical insights, equipping you with the steps 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 the 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: Create and Manage Workspaces
This module introduces Workspaces, including how to create and manage them. 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: Manage Datasets in Power BI
In this module, you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also learn to publish datasets to the Power BI service, refresh them, 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 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
Successful Data Analysts begin this role with experience working with data in the cloud.
Specifically:
- Understanding core data concepts.
- Knowledge of working with relational data in the cloud.
- Knowledge of working with non-relational data in the cloud.
- Knowledge of data analysis and visualization concepts.
Before taking this course, you can gain these prerequisites and deepen your understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals.
Audience profile
This course is designed for data professionals and business intelligence practitioners who wish to learn how to perform accurate data analysis using Power BI. It also targets individuals who develop reports that visualize data from platform technologies located in both the cloud and on-premises environments.
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
