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Analyzing Data with Power BI

  • Tuition USD $2,336 List Price $2,595 GSA  $1,960.96
  • Reviews star_rate star_rate star_rate star_rate star_half 3095 Ratings
  • Course Code DA-100T00
  • Duration 4 days
  • Available Formats Classroom, Virtual

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Additionally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution, as well as explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. 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.

Skills Gained

After completing this course, you will be able 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 Can Benefit

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 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.

Course Details

Outline


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

Lab : Prepare Data in Power BI Desktop
  • Prepare Data

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

Lab : Load Data in Power BI Desktop
  • 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 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

Lab : Model Data in Power BI Desktop, Part 1
  • Create model relationships
  • Configure table and column properties
  • Create hierarchies
  • Create quick measures

Lab : Model Data in Power BI Desktop, Part 2
  • Configure many-to-many relationships

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

Lab : Create DAX Calculations in Power BI Desktop, Part 1
  • Create calculated tables
  • Create calculated columns
  • Create measures

Lab : Create DAX Calculations in Power BI Desktop, Part 2
  • 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 steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
Lessons
  • Optimze 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

Lab : Design a Report in Power BI Desktop, Part 1
  • Design a report
  • Configure visual fields adn format properties

Lab : Design a Report in Power BI Desktop, Part 2
  • 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 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

Lab : Create a Power BI Dashboard
  • 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 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

Lab : Create a Power BI 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 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

Lab : Perform Data Analysis in Power BI Desktop
  • Create animated scatter charts
  • Use a 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 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

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

I really admired his coaching skills and mannerisms and he gave many examples when I asked questions.

The training was great and touched on the necessary information for the certification. It is always hard to reserve 4 half days all the way through so there were times when I needed to step away. Otherwise, the instructors, content, and delivery were fantastic.

Gave an in depth introduction to Security Practices on AWS with a lot of practical examples. I do think the labs could be structured so that they are a bit less cut and paste oriented, but I am guessing that they are trying to shorten the amount of time it takes to get through them to include more topics.

The ExitCertified model may need some work. The Zoom link should be a link inside the invite.

thorough course covering materials needed to understand aws, architecture, and their interactions. Labs helped

Related Certifications

Authorized training from ExitCertified is created and maintained by the vendor who also creates the certification exams. While it may not be a requirement of certification to attend a vendor-authorized training class, doing so will put you in the best position to successfully complete the related exams. Start training and begin working towards one of the following certifications today.

MICROSOFT CERTIFIED: DATA ANALYST ASSOCIATE
MICROSOFT DATA ANALYST ASSOCIATE

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