Course Outline
Module 1: Getting Started with Microsoft Data Analytics
This module examines the different roles within the data space, outlines the key responsibilities of a Data Analyst, and provides an overview of the Power BI product portfolio.
Lessons
- Data Analytics and Microsoft
- Introduction to Power BI
Lab: Getting Started
- Getting Started
Upon completing this module, you will be able to:
- Explore the various roles in the data field
- Identify the key tasks performed by a data analyst
- Describe the Power BI landscape of products and services
- Utilize the Power BI service
Module 2: Preparing Data in Power BI
This module focuses on identifying and retrieving data from various sources. You will explore connectivity options and data storage methods, gaining an understanding of the differences and performance implications between direct connections and imported data.
Lessons
- Retrieving data from various sources
- Optimizing performance
- Resolving data errors
Lab: Preparing Data in Power BI Desktop
- Data Preparation
After completing this module, you will be able to:
- Identify and retrieve data from different sources
- Understand connection methods and their impact on performance
- Optimize query performance
- Resolve data import errors
Module 3: Cleaning, Transforming, and Loading Data in Power BI
In this module, you will learn the process of profiling and assessing data conditions. You will learn to identify anomalies, evaluate the size and shape of the data, and execute the necessary cleaning and transformation steps to prepare the 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 a data model for optimal performance and scalability. It also addresses common data modeling challenges, including relationships, security, and performance optimization.
Lessons
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
Lab: Data Modeling in Power BI Desktop
- Creating Model Relationships
- Configuring 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
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: Creating Measures using DAX in Power BI
This module introduces you to DAX and its potential for enhancing models. You will learn about aggregations, 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
- Creating calculated tables
- Creating calculated columns
- Creating measures
Lab: Advanced DAX in Power BI Desktop
- Using the CALCULATE() function to manipulate filter context
- Applying 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
In this module, you will be introduced to the steps, processes, and best practices necessary to optimize a data model for enterprise-level performance.
Lessons
- Optimizing the model for performance
- Optimizing DirectQuery Models
- Creating and managing 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: Creating Reports
This module introduces the fundamental principles of designing and building reports, including selecting appropriate visuals, designing page layouts, and applying essential functionality. It also covers the critical topic of designing for accessibility.
Lessons
- Designing a report
- Enhancing the report
Lab: Designing a Report in Power BI
- Creating a live connection in Power BI Desktop
- Designing a report
- Configuring visual fields and format properties
Lab: Enhancing Power BI Reports with Interaction and Formatting
- Creating and configuring Sync Slicers
- Creating a drillthrough page
- Applying conditional formatting
- Creating and using 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 utilize navigation tools to enhance user flow. You will also explore features to improve dashboard usability and extract 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
- Configuring a Dashboard tile alert
- Using Q&A to create a dashboard tile
After 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 provides an overview of paginated reports and their role within Power BI. You will learn how to build and publish these reports effectively.
Lessons
- Paginated report overview
- Creating 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 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 advanced features to enhance reports for deeper analytical insights, equipping you to use reports for practical data analysis. You will also perform advanced analytics using AI visuals to derive more meaningful data insights.
Lessons
- Advanced Analytics
- 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
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 AI visuals
- Use the Advanced Analytics custom visual
Module 11: Creating and Managing Workspaces
This module introduces you to Workspaces, covering how to create and manage them. 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
- 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
In this module, you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will publish datasets to the Power BI service, and then learn how to refresh 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 you the steps for implementing and configuring security in Power BI to protect 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 typically begin their careers with experience working with cloud-based data.
Specifically, candidates should have:
- A solid understanding of core data concepts.
- Experience working with relational data in the cloud.
- Experience working with non-relational data in the cloud.
- Knowledge of data analysis and visualization principles.
To strengthen your prerequisites and gain a deeper understanding of working with data in Azure, consider completing the Microsoft Azure Data Fundamentals before enrolling in this course.
Audience profile
This course is designed for data professionals and business intelligence specialists who aim to learn how to perform accurate data analysis using Power BI. It is also tailored 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
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