PL-300T00 Microsoft Power BI Data Analyst

Price
$1,895.00 USD

Duration
3 Days

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

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. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

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.

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Does this course include the PL-300 Microsoft Power Bi Data Analyst exam?
This course does not include the certification exam. It will prepare you for the certification by teaching you how to analyze data and use Power BI to discover and unlock data insights.

What training materials are included in the PL-300 Microsoft Power Bi Data Analyst course?
Students will have access to the following materials:

Microsoft Learn, which includes:

Videos
“Sandboxes” for students to work through Microsoft Learn Labs.
A progress tracker you move forward through the course material

Instructor-led classes also provide students with six months of access to GoDeploy, United Training’s lab provider. The course labs help students prepare for the certification exam should they choose to sit for it.

Can a course be retaken at no additional charge?
Yes. Most completed United Training courses carry our unbeatable Learning Guarantee. This guarantee allows students to repeat most United Training courses, if they are the same version, FREE OF CHARGE, within six months of completion of the courses. Exceptions: Cisco, Citrix, VMware, and courses provided by affiliated 3rd party training providers. Note: If you request a retake of a course, you will be responsible for the following costs: updated courseware if applicable, admin fee, lab fee, and exam voucher.

What is a Microsoft Certified Power Bi Data Analyst Associate?
Power BI data analysts unlock the value of business data by extracting actionable insights from available data. The role of a Power BI data analyst is to collaborate with stakeholders throughout the business to determine business needs, clean and transform data, and design and build data models using Power BI. A Power BI data analyst generates significant business value through easy-to-understand data visualizations while enabling others to perform self-service analytics.

What are the eligibility requirements for Microsoft Certified Power Bi Data Analyst Associate?
Power BI Data Analyst Associates must have a fundamental understanding of data repositories and data processes, both on-premises and in the cloud. In this role, data analysts use their expertise to help organizations maximize the value of their data assets by using Power BI. This requires the following skills:

Data preparation
Data modeling
Data visualization and analysis
Deploy and maintain assets

What careers is the Microsoft Certified Power Bi Data Analyst Associate useful for?
This certification is suitable for those with a background in data analytics, including Data Analysts and Data Scientists. It is helpful for professionals across many disciplines, including computer programming, mathematics, and statistics. Any position that requires data analysis to improve business performance.

How much do Microsoft Certified Power Bi Data Analyst Associates make?
As of Nov 21, 2022, the average annual pay for a Power BI Analyst in the United States is $88,884.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course Prerequisites

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.
DP-900T00 Microsoft Azure Data Fundamentals is recommended

Agenda

1 - Discover data analysis

Overview of data analysis
Roles in data
Tasks of a data analyst

2 - Get started building with Power BI

Use Power BI
Building blocks of Power BI
Tour and use the Power BI service

3 - Get data in Power BI

Get data from files
Get data from relational data sources
Create dynamic reports with parameters
Get data from a NoSQL database
Get data from online services
Select a storage mode
Get data from Azure Analysis Services
Fix performance issues
Resolve data import errors

4 - Clean, transform, and load data in Power BI

Shape the initial data
Simplify the data structure
Evaluate and change column data types
Combine multiple tables into a single table
Profile data in Power BI
Use Advanced Editor to modify M code

5 - Describe Power BI Desktop models

Star schema design
Analytic queries
Configure report visuals

6 - Choose a Power BI model framework

Describe Power BI model fundamentals
Determine when to develop an import model
Determine when to develop a DirectQuery model
Determine when to develop a composite model
Choose a model framework

7 - Design a semantic model in Power BI

Work with tables
Create a date table
Work with dimensions
Define data granularity
Work with relationships and cardinality
Resolve modeling challenges

8 - Write DAX formulas for Power BI Desktop models

Write DAX formulas
DAX data types
Work with DAX functions
Use DAX operators
Use DAX variables

9 - Add measures to Power BI Desktop models

Create simple measures
Create compound measures
Create quick measures
Compare calculated columns with measures

10 - Add calculated tables and columns to Power BI Desktop models

Create calculated columns
Learn about row context
Choose a technique to add a column

11 - Use DAX time intelligence functions in Power BI Desktop models

Use DAX time intelligence functions
Additional time intelligence calculations

12 - Optimize a model for performance in Power BI

Review performance of measures, relationships, and visuals
Use variables to improve performance and troubleshooting
Reduce cardinality
Optimize DirectQuery models with table level storage
Create and manage aggregations

13 - Enforce Power BI model security

Restrict access to Power BI model data
Restrict access to Power BI model objects
Apply good modeling practices

14 - Scope report design requirements

Identify the audience
Determine report types
Define user interface requirements
Define user experience requirements
Explore report designs

15 - Design Power BI reports

Design the analytical report layout
Design visually appealing reports
Report objects
Select report visuals
Select report visuals to suit the report layout
Format and configure visualizations
Work with key performance indicators

16 - Configure Power BI report filters

Apply filters to the report structure
Apply filters with slicers
Design reports with advanced filtering techniques
Consumption-time filtering
Select report filter techniques
Case study - Configure report filters based on feedback

17 - Enhance Power BI report designs for the user experience

Design reports to show details
Design reports to highlight values
Design reports that behave like apps
Work with bookmarks
Design reports for navigation
Work with visual headers
Design reports with built-in assistance
Tune report performance
Optimize reports for mobile use

18 - Perform analytics in Power BI

Explore statistical summary
Identify outliers with Power BI visuals
Group and bin data for analysis
Apply clustering techniques
Conduct time series analysis
Use the Analyze feature
Create what-if parameters
Use specialized visuals

19 - Create paginated reports

Get data
Create a paginated report
Work with charts on the report
Publish the report

20 - Create and manage workspaces in Power BI

Distribute a report or dashboard
Monitor usage and performance
Recommend a development life cycle strategy
Troubleshoot data by viewing its lineage
Configure data protection

21 - Manage semantic models in Power BI

Use a Power BI gateway to connect to on-premises data sources
Configure a semantic model scheduled refresh
Configure incremental refresh settings
Manage and promote semantic models
Troubleshoot service connectivity
Boost performance with query caching (Premium)

22 - Create dashboards in Power BI

Configure data alerts
Explore data by asking questions
Review Quick insights
Add a dashboard theme
Pin a live report page to a dashboard
Configure a real-time dashboard
Set mobile view

23 - Implement row-level security

Configure row-level security with the static method
Configure row-level security with the dynamic method