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(100833) Analyzing Data with Microsoft Power BI (DA-100T00)

Code: 100833 v081721
Type:
Tuition (USD): $2495
Length: 4Days

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Location: Date Guaranteed to Run:
Live Virtual, US 01/24/2022
Live Virtual, US 03/07/2022
Live Virtual, US 03/14/2022
Live Virtual, US 03/21/2022
Live Virtual, US 03/28/2022
Live Virtual, US 04/04/2022
Live Virtual, US 04/11/2022
Live Virtual, US 04/18/2022
Live Virtual, US 04/25/2022
Live Virtual, US 05/02/2022
Live Virtual, US 05/09/2022
Live Virtual, US 05/16/2022
Live Virtual, US 05/23/2022
Live Virtual, US 06/06/2022
Live Virtual, US 06/13/2022
Live Virtual, US 06/20/2022
Live Virtual, US 06/27/2022

Not finding any suitable dates? Contact us for additional availability: training@dunnsolutions.com

Skills Gained:
You will learn to, Ingest, clean, and transform data Model data for performance and scalability Design and create reports for data analysis Apply and perform advanced report analytics Manage and share report assets Create paginated reports in Power BI
Who Should Attend?
IS THIS THE RIGHT COURSE? Successful Data Analysts start this role with experience of 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. You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course. WHO SHOULD ATTEND? The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Prerequisites:
  • Successful Data Analysts start this role with experience of 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 clou
What You Will Learn:
  • Module 1: Get Started with Microsoft Data Analytics
  • This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
  • Lessons
  • Data Analytics and Microsoft
  • Getting Started with Power BI
  • After completing this module, you will be able to:
  • Explore the different roles in data
  • Identify the tasks that are 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 explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.
  • Lessons
  • Get data from various data sources
  • Optimize performance
  • Resolve data errors
  • After completing this module, you will be able to:
  • Identify and retrieve data from different data sources
  • Understand the 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 the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
  • Lessons
  • Data shaping
  • Enhance the data structure
  • Data Profiling
  • 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 the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
  • Lessons
  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies
  • 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 Model Calculations using DAX in Power BI
  • This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
  • Lessons
  • Introduction to DAX
  • DAX context
  • Advanced DAX
  • 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 steps, processes, concepts, and data modeling best practices necessary 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 you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
  • Lessons
  • Design a report
  • Enhance the report
  • 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 the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
  • Lessons
  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard
  • 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 will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
  • Lessons
  • Paginated report overview
  • Create Paginated reports
  • 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 the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
  • Lessons
  • Advanced Analytics
  • Data Insights through AI visuals
  • 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 will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
  • Lessons
  • Creating Workspaces
  • Sharing and Managing Assets
  • 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 publish datasets to the Power BI service, then 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 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
Course Info:
The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.


FOLLOW-ON COURSES
None

RELATED CERTIFICATIONS
Exam DA-100: Analyzing Data with Microsoft Power BI

Training Exclusives
This course comes with 12 months access to the following benefits:
Practice Labs
Indexed Class Recordings
Unlimited Retakes
Digital Courseware

* Terms and conditions may apply. Learn more about our training exclusives by contacting training@dunnsolutions.com

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This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.