Course Outline
Module 1: Introduction to Microsoft Data Analytics
This module reviews the various roles within the data landscape, outlines the key responsibilities of a Data Analyst, and provides an overview of the Power BI product portfolio.
Lessons
- Microsoft Data Analytics
- Starting with Power BI
Lab : Getting Started
- Getting Started
Upon completing this module, you will be able to:
- Examine the different roles in the data sector
- Recognize the tasks performed by data analysts
- Describe the Power BI product and service ecosystem
- Utilize the Power BI service
Module 2: Data Preparation in Power BI
This module focuses on identifying and retrieving data from various sources. It covers connectivity options and data storage methods, helping you understand 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
- Data Preparation
Upon completing this module, you will be able to:
- Identify and fetch data from different sources
- Understand connection methods and their performance effects
- Improve query performance
- Fix 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 spot anomalies, evaluate data size and shape, and apply appropriate cleaning and transformation steps to prepare data for model loading.
Lessons
- Shaping data
- Improving data structure
- Data Profiling
Lab : Transforming and Loading Data
- Loading Data
Upon completing this module, learners will be able to:
- Apply data shaping transformations
- Enhance data structure
- Profile and analyze data
Module 4: Designing Data Models in Power BI
This module teaches the fundamentals of designing and developing data models for optimal performance and scalability. It also addresses common modeling challenges, such as relationships, security, and performance issues.
Lessons
- Basics of data modeling
- Working with tables
- Dimensions and Hierarchies
Lab : Data Modeling in Power BI Desktop
- Establishing Model Relationships
- Setting up Tables
- Reviewing the model interface
- Creating Quick Measures
Lab : Advanced Data Modeling in Power BI Desktop
- Configuring many-to-many relationships
- Enforcing row-level security
Upon completing this module, you will be able to:
- Understand fundamental data modeling principles
- Define relationships and their cardinality
- Implement Dimensions and Hierarchies
- Create histograms and rankings
Module 5: Creating Measures with DAX in Power BI
This module introduces DAX and its power in enhancing data models. You will explore aggregations, the concepts of Measures, calculated columns and tables, and Time Intelligence functions to address calculation and analysis challenges.
Lessons
- DAX Overview
- DAX context
- Advanced DAX
Lab : Introduction to DAX in Power BI Desktop
- Creating calculated tables
- Creating calculated columns
- Defining measures
Lab : Advanced DAX in Power BI Desktop
- Manipulating filter context using the CALCULATE() function
- Applying Time Intelligence functions
Upon completing this module, you will be able to:
- Understand DAX
- Apply DAX for simple formulas and expressions
- Create calculated tables and measures
- Construct simple measures
- Utilize Time Intelligence and Key Performance Indicators
Module 6: Optimizing Model Performance
This module covers the necessary steps, processes, and best practices for optimizing data models to achieve enterprise-level performance.
Lessons
- Performance optimization of the model
- Optimizing DirectQuery Models
- Creating and managing Aggregations
Upon completing this module, you will be able to:
- Understand the role of variables
- Improve the data model
- Optimize the storage model
- Implement aggregations
Module 7: Building Reports
This module introduces the core principles of report design and construction, including selecting appropriate visuals, designing page layouts, and applying essential functionality. It also covers the critical aspect of designing for accessibility.
Lessons
- Designing a report
- Enhancing the report
Lab : Designing a report in Power BI
- Establishing a live connection in Power BI Desktop
- Designing the report
- Configuring visual fields and format properties
Lab : Enhancing Power BI reports with interaction and formatting
- Creating and setting up Sync Slicers
- Creating a drillthrough page
- Applying conditional formatting
- Creating and using Bookmarks
Upon completing this module, you will be able to:
- Design report page layouts
- Select and add effective visualizations
- Add basic report functionalities
- Implement report navigation and interactions
- Enhance report performance
- Design with accessibility in mind
Module 8: Creating Dashboards
This module teaches you how to craft compelling narratives using dashboards and available navigation tools. It introduces key features and methods to 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
- Creating a Dashboard
- Pinning visuals to a Dashboard
- Setting up Dashboard tile alerts
- Using Q&A to generate a dashboard tile
Upon completing this module, learners will be able to:
- Create a Dashboard
- Understand real-time Dashboards
- Improve 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.
Lessons
- Overview of paginated reports
- Building Paginated reports
Lab : Creating a Paginated report
- Using Power BI Report Builder
- Designing a multi-page report layout
- Defining a data source
- Defining a dataset
- Creating a report parameter
- Exporting a report to PDF
Upon completing this module, you will be able to:
- Explain the concept of paginated reports
- Create a paginated report
- Set up a data source and dataset
- Handle 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 to use reports for practical data analysis and leverage AI visuals for more meaningful insights.
Lessons
- Advanced Analytics
- Gaining Data Insights through AI visuals
Lab : Data Analysis in Power BI Desktop
- Creating animated scatter charts
- Using the visual to forecast values
- Working with the Decomposition Tree visual
- Working with the Key Influencers visual
Upon completing this module, you will be able to:
- Examine statistical summaries
- Utilize the Analyze feature
- Detect outliers in data
- Conduct time-series analysis
- Apply AI visuals
- Use the Advanced Analytics custom visual
Module 11: Creating and Managing Workspaces
This module introduces Workspaces, covering their creation and management. It also covers sharing content, such as reports and dashboards, and distributing Apps.
Lessons
- Setting up Workspaces
- Sharing and Managing Assets
Lab : Publishing and Sharing Power BI Content
- Mapping security principals to dataset roles
- Sharing a dashboard
- Publishing 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
This module covers the management of Power BI assets, including datasets and workspaces. It guides you on publishing datasets to the Power BI service, as well as refreshing and securing them.
Lessons
- Parameters
- Datasets
Upon completing this module, you will be able to:
- Create and use parameters
- Manage datasets
- Configure dataset refresh
- Troubleshoot gateway connectivity
Module 13: Row-level security
This module teaches the steps required to implement and configure security in Power BI to protect assets.
Lessons
- Security in Power BI
Upon completing this module, you will be able to:
- Understand Power BI security aspects
- Configure row-level security roles and group memberships
Requirements
Aspiring Data Analysts typically begin with experience handling data in the cloud.
Specifically, this includes:
- Grasping core data concepts.
- Familiarity with handling relational data in the cloud.
- Familiarity with handling non-relational data in the cloud.
- An understanding of data analysis and visualization principles.
To build these prerequisites and deepen your understanding of cloud data operations, 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 also targets individuals who develop reports that visualize data from on-premises and cloud-based data platform technologies.
Target job role: Data Analyst
Exam preparation: DA-100
Specific 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
