Power BI Data Analyst: PL-300 Certification

Enhance your data storytelling and communication abilities with our Power BI certification training and pass the PL-300 exam.

(PL-300.AP1) / ISBN : 978-1-64459-351-6
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About This Course

Our Microsoft Power BI Data Analyst PL-300 training course is your one-stop shop for learning the ins and outs of data visualization. You’ll train on the tools commonly used to tackle data challenges head-on, from cleaning unruly datasets to crafting stunning, insightful dashboards. Our step-by-step instructions, video lessons, test preps, and labs will prepare you for the PL-300 exam and help you climb the corporate ladder.

Skills You’ll Get

  • Use techniques for obtaining data from diverse sources 
  • Learn to cleanse, shape, and prepare data for analysis 
  • Gain proficiency in DAX for creating complex calculations and measures 
  • Develop interactive and informative reports using Power BI’s rich visualization capabilities 
  • Create compelling dashboards to effectively communicate insights to stakeholders
  • Explore techniques for performing in-depth analysis, including statistical analysis and predictive modeling

1

Introduction

  • Organization of this course
  • Preparing for the exam
  • Microsoft certifications
2

Prepare the data

  • Skill 1.1: Get data from different data sources
  • Skill 1.2: Profile the data
  • Skill 1.3: Clean, transform, and load the data
  • Lesson summary
  • Thought experiment
3

Model the data

  • Skill 2.1: Design a data model
  • Skill 2.2: Develop a data model
  • Skill 2.3: Create measures by using DAX
  • Skill 2.4: Optimize model performance
  • Lesson summary
  • Thought experiment
4

Visualize the data

  • Skill 3.1: Create reports
  • Skill 3.2: Create dashboards
  • Skill 3.3: Enrich reports for usability
  • Lesson summary
  • Thought experiment
5

Analyze the data

  • Skill 4.1: Enhance reports to expose insights
  • Skill 4.2: Perform advanced analysis
  • Lesson summary
  • Thought experiment
6

Deploy and maintain deliverables

  • Skill 5.1: Manage datasets
  • Skill 5.2: Create and manage workspaces
  • Lesson summary
  • Thought experiment

1

Prepare the data

  • Creating a Data Connection
  • Profiling Data in Power BI
  • Using the Transpose Feature
  • Shaping Data for Analysis
  • Cleaning, Transforming, and Loading Connected Data
2

Model the data

  • Configuring and Managing Data Relationships
  • Creating a Calculated Table
  • Creating and Managing Data Hierarchies
  • Creating Calculations with DAX
  • Creating Conditional Columns
  • Creating Calculated Measures
3

Visualize the data

  • Reviewing Custom Visuals and Apps
  • Filtering and Slicing Reports
  • Customizing Visuals in Power BI
  • Charting Data in Power BI
  • Creating Visualizations
  • Configuring the Mobile Layout
  • Incorporating Tooltips to Enhance Data Analysis
  • Saving and Exporting Files in Power BI
4

Analyze the data

  • Enhancing Reports
  • Enhancing Visuals with Statistical Analysis
  • Performing Advanced Analysis
5

Deploy and maintain deliverables

  • Configuring Row-level Security
  • Publishing Reports and Refreshing Data
  • Enhancing Dashboards

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The Power BI Data Analyst Associate Certification validates your ability to deliver actionable insights by working with available data and applying domain knowledge. It demonstrates your proficiency in using Power BI.

There are no formal prerequisites, but it is recommended that you have a basic understanding of data repositories and data processing both on-premises and in the cloud to take the Power BI PL 300 exam.

The certification must be renewed annually. You can renew it by completing and passing a free online assessment on Microsoft Learn.

The Power BI Data Analyst course is ideal for individuals who want to enhance their Power BI skills, advance their careers, and achieve PL-300 certification. It is suitable for data analysts, business analysts, and IT professionals working with Power BI.

Power BI data analyst certification is evidence supporting your Power BI data modeling and analysis skills. It opens doors to new opportunities, increases your earning potential, and provides a competitive advantage in the job market.

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