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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.
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What You'll Learn

  • Learn about the roles in data.
  • Learn about the tasks of a data analyst.
  • Learn how Power BI services and applications work together.
  • Explore how Power BI can make your business more efficient.
  • Learn how to create compelling visuals and reports.
  • Identify and connect to a data source
  • Get data from a relational database, like Microsoft SQL Server
  • Get data from a file, like Microsoft Excel
  • Get data from applications
  • Get data from Azure Analysis Services
  • Select a storage mode
  • Fix performance issues
  • Resolve data import errors
  • Resolve inconsistencies, unexpected or null values, and data quality issues.
  • Apply user-friendly value replacements.
  • Profile data so you can learn more about a specific column before using it.
  • Evaluate and transform column data types.
  • Apply data shape transformations to table structures.
  • Combine queries.
  • Apply user-friendly naming conventions to columns and queries.
  • Edit M code in the Advanced Editor.
  • Create common date tables
  • Configure many-to-many relationships
  • Resolve circular relationships
  • Design star schemas
  • Build quick measures.
  • Create calculated columns.
  • Use DAX to build measures.
  • Discover how context affects DAX measures.
  • Use the CALCULATE function to manipulate filters.
  • Implement time intelligence by using DAX.
  • Review the performance of measures, relationships, and visuals.
  • Use variables to improve performance and troubleshooting.
  • Improve performance by reducing cardinality levels.
  • Optimize DirectQuery models with table level storage.
  • Create and manage aggregations.
  • Add visualization items to reports.
  • Choose an effective visualization.
  • Format and configure visualizations.
  • Import a custom visual.
  • Add an R or Python visual.
  • Design a report layout.
  • Add buttons, bookmarks, and selections.
  • Design report navigation.
  • Use basic interactions.
  • Use advanced interactions and drillthrough.
  • Configure conditional formatting.
  • Apply slicing, filtering, and sorting.
  • Publish and export reports.
  • Comment on reports.
  • Use Performance analyzer to tune reports.
  • Optimize reports for mobile use.
  • Set a mobile view.
  • Add a theme to the visuals in your dashboard.
  • Configure data classification.
  • Add real-time dataset visuals to your dashboards.
  • Pin a live report page to a dashboard.
  • 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.
  • Use advanced analytics custom visuals.
  • Review Quick insights.
  • Apply AI Insights.
  • Use the Q&A visual.
  • Find important factors with the Key influencers visual.
  • Use the Decomposition Tree visual to break down a measure.
  • Distribute a report or dashboard.
  • Monitor usage and performance.
  • Recommend a development life cycle strategy.
  • Troubleshoot data by viewing its lineage.
  • Configure data protection.
  • Create dynamic reports with parameters.
  • Create what-if parameters.
  • Use a Power BI gateway to connect to on-premises data sources.
  • Configure a scheduled refresh for a dataset.
  • Configure incremental refresh settings.
  • Manage and promote datasets.
  • Troubleshoot service connectivity.
  • Boost performance with query caching (Premium).
  • Configure row-level security by using a static method.
  • Configure row-level security by using a dynamic method.

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.
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Prerequisites

N/A

Learning Journey

Want to boost your career in Microsoft? Click on the roles below to see the learning pathways, specially designed to give you the skills to succeed.

1. Get started with Microsoft data analytics

Businesses need data analysis more than ever. In this learning path, you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made. You will learn how the suite of Power BI tools and services are used by a data analyst to tell a compelling story through reports and dashboards, and the need for true BI in the enterprise.

Click here to know more

2. Prepare data for analysis with Power BI

You'll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You'll also learn to profile, clean, and load data into Power BI before you model your data.

Click here to know more

3. Model data with Power BI

Learn what a Power BI semantic model is, which data loading approach to use, and how to build out your semantic model to get the insights you need.

Click here to know more

4. Build Power BI visuals and reports

Turn data into interactive, actionable insights with Power BI Desktop visuals and reports.

Click here to know more

5. Manage workspaces and datasets in Power BI

In this Learning Path, you'll learn how to publish Power BI reports to the Power BI service. You'll also learn how to create workspaces, manage related items, and data refreshes for up-to-date reports. Additionally, implement row-level security to restrict user access to relevant data without the need for multiple reports.

Click here to know more

Instructors

Scott Duffy

Bestselling Azure & TOGAF® Trainer, Microsoft Azure MVP

4.8 (4.1k)
|
10 Courses
profile-instructor-a.png
Scott Duffy

Bestselling Azure & TOGAF® Trainer, Microsoft Azure MVP

4.8 (4.1k)
|
10 Courses
profile-instructor-a.png

Skills measured

  • Prepare the data
  • Model the data
  • Visualize and analyze the data
  • Deploy and maintain assets

Frequently Asked Questions (FAQs)

  • Why get Microsoft certified?

    Microsoft certifications validate your skills and expertise in Microsoft technologies and solutions, demonstrating your ability to design, implement, and manage cutting-edge technologies.

    These certifications are globally recognized and highly sought after by employers, as they signify your proficiency in using Microsoft products and services to drive innovation and solve business challenges.

    Microsoft-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Microsoft certification exams are designed to assess your knowledge and skills in specific Microsoft technologies and solutions.

    Exams typically consist of multiple-choice, multiple-select, and case study questions, and some may include lab simulations to evaluate your practical skills.

    Note: Certification requirements and policies may be updated by Microsoft from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Microsoft certification valid for?

    Most Microsoft role-based and specialty certifications are valid for one year from the date of passing the exam.

    To maintain your certification, you will need to renew it annually by passing a free online assessment on Microsoft Learn.

    However, Microsoft Applied Skills credentials and Fundamentals certifications do not expire.

    Note: Certification requirements and policies may be updated by Microsoft from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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