Exam PL-300 Microsoft Power BI Data Analyst
Pearson Education (US) (Hersteller)
978-0-13-791609-2 (ISBN)
- Titel nicht im Sortiment
- Artikel merken
Prepare for Microsoft Exam PL-300 and demonstrate your mastery of Power BI data analysis.
This Exam PL-300 Microsoft Power BI Data Analyst video is designed for data analysts responsible for designing scalable data models, cleaning and transforming data, and presenting analytic insights through data visualizations using Power BI. This video focuses on the skills measured by the exam objectives, as updated by Microsoft on February 28, 2022:
Prepare the data
Model the data
Visualize and analyze the data
Deploy and maintain assets
Using his years of experience teaching Power BI to a variety of learners, Microsoft Certified Trainer Chris Sorensen explains how to optimize Power BI features and functions and prepares you for what to expect on the PL-300 exam. In his engaging style that is grounded in real-world scenarios, Chris gives you insights to navigate and build effective Power BI solutions, quickly and effectively. With Chris as your guide, you are well-equipped to advance in your career as a data analyst.
Topics Include:
Module 1: Prepare the Data
Lesson 1: Get Data from Different Data Sources
Lesson 2: Clean, Transform, and Load the Data
Module 2: Model the Data
Lesson 3: Design a Data Model
Lesson 4: Develop a Data Model
Lesson 5: Create Model Calculations by Using DAX
Lesson 6: Optimize Model Performance
Module 3: Visualize and Analyze the Data
Lesson 7: Create Reports
Lesson 8: Create Dashboards
Lesson 9: Enhance Reports for Usability and Storytelling
Lesson 10: Identify Patterns and Trends
Module 4: Deploy and Maintain Assets
Lesson 11: Manage Files and Datasets
Lesson 12: Manage Workspaces
Skill Level:
Intermediate
Who Should Take This Course:
Certification candidates preparing for exam PL-300 Microsoft Power BI Data Analyst
Data analysts who want to use Microsoft Power BI to maximize their data assets
Business intelligence professionals who want to advance their knowledge of data processing and analytics
Course Requirements:
Power BI Desktop installed on your machine
Access to the Power BI service
Familiarity with the end-to-end process of connecting to data sources, cleaning and transforming data, modeling data for self-service consumption, building reports, and securely distributing reports and dashboards
About Pearson Video Training:
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
Chris Sorensen, CPA, CGA, is the Founder and President of Iteration Insights, a tech-enabled data analytics solutions provider based in Calgary, Alberta. He is a Microsoft Certified Data Analyst Associate and Microsoft Certified Trainer with a combined 20+ years of industry and teaching experience. Chris provides partners with the data-driven solutions they seek and has proven capabilities to train and empower their people in analytics. In his career, he has led numerous analytics projects in more than 15 industries across small to enterprise-sized organizations. As an adjunct instructor of the Business Intelligence program at SAIT, he plays a significant role in shaping new talent in Calgary's emerging tech sector. Following his lifelong learning approach, Chris also coordinates both Power Platform and Azure Analytics User Groups, providing a space dedicated to knowledge-sharing and growing Alberta's tech community. His favorite hashtag is #neverstoplearning.
Introduction
Module 1: Prepare the Data
Lesson 1: Get Data from Different Data Sources
1.1 Identify and connect to a data source
1.2 Change data source settings
1.3 Select a shared dataset or create a local dataset
1.4 Select a storage mode
1.5 Use Microsoft Dataverse
1.6 Change the value in a parameter
1.7 Connect to a data flow
Lesson 2: Clean, Transform, and Load the Data
2.1 Profile the data
2.2 Resolve inconsistencies, unexpected or null values, and data quality issues
2.3 Identify and create appropriate keys for joins
2.4 Evaluate and transform column data types
2.5 Shape and transform tables
2.6 Combine queries
2.7 Apply user-friendly naming conventions to columns and queries
2.8 Configure data loading
2.9 Resolve data import errors
Module 2: Model the Data
Lesson 3: Design a Data Model
3.1 Define the tables and design a data model that uses a star schema
3.2 Configure table and column properties
3.3 Design and implement role-playing dimensions
3.4 Define a relationship's cardinality and cross-filter direction
3.5 Create a common date table
Lesson 4: Develop a Data Model
4.1 Create calculated tables
4.2 Create hierarchies
4.3 Create calculated columns
4.4 Implement row-level security roles
4.5 Use the Q&A feature
Lesson 5: Create Model Calculations by Using DAX
5.1 Create basic measures by using DAX
5.2 Use CALCULATE to manipulate filters
5.3 Implement Time Intelligence using DAX
5.4 Replace implicit measures with explicit measures
5.5 Use basic statistical functions
5.6 Create semi-additive measures
5.7 Use quick measures
Lesson 6: Optimize Model Performance
6.1 Remove unnecessary rows and columns
6.2 Identify poorly performing measures, relationships, and visuals
6.3 Reduce cardinality levels to improve performance
Module 3: Visualize and Analyze the Data
Lesson 7: Create Reports
7.1 Add visualization items to reports
7.2 Choose an appropriate visualization type
7.3 Format and configure visualizations
7.4 Use a custom visual
7.5 Apply and customize a theme
7.6 Configure conditional formatting
7.7 Apply slicing and filtering
7.8 Configure the report page
7.9 Use the Analyze in Excel feature
7.10 Choose when to use a paginated report
Lesson 8: Create Dashboards
8.1 Manage tiles on a dashboard
8.2 Configure mobile view
8.3 Use the Q&A feature
8.4 Add a Quick Insights result to a dashboard
8.5 Apply a dashboard theme
8.6 Pin a live report page to a dashboard
Lesson 9: Enhance Reports for Usability and Storytelling
9.1 Configure bookmarks
9.2 Create custom tooltips
9.3 Edit and configure interactions between visuals
9.4 Configure navigation for a report
9.5 Apply sorting
9.6 Configure Sync Slicers
9.7 Group and layer visuals by using the selection pane
9.8 Drilldown into data using interactive visuals
9.9 Export report data
9.10 Design reports for mobile devices
Lesson 10: Identify Patterns and Trends
10.1 Use the Analyze feature in Power BI
10.2 Identify outliers
10.3 Choose between continuous and categorical axes
10.4 Use groupings, binnings, and clustering
10.5 Use AI visuals
10.6 Use the Forecast feature
10.7 Create reference lines by using the Analytics pane
Module 4: Deploy and Maintain Assets
Lesson 11: Manage Files and Datasets
11.1 Identify when a gateway is required
11.2 Configure a dataset scheduled refresh
11.3 Configure row-level security group membership
11.4 Provide access to datasets
11.5 Manage global options for files
Lesson 12: Manage Workspaces
12.1 Create and configure a workspace
12.2 Assign workspace roles
12.3 Configure and update a workspace app
12.4 Publish, import, or update assets in a workspace
12.5 Apply sensitivity labels to workspace content
12.6 Configure subscriptions and data alerts
12.7 Promote or certify Power BI content
Summary
| Erscheint lt. Verlag | 12.9.2022 |
|---|---|
| Verlagsort | Upper Saddle River |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Weitere Themen ► Zertifizierung | |
| ISBN-10 | 0-13-791609-4 / 0137916094 |
| ISBN-13 | 978-0-13-791609-2 / 9780137916092 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
