Exam PL-300: Microsoft Power BI Data Analyst
Prepare for PL-300: Microsoft Power BI Data Analyst Exam to earn the Power BI Data Analyst Associate certification
Here's What You'll Get
With The Course
More than 6 hours of self-paced training videos
Be prepared to take the PL 300 Certification Exam
- This course covers topics on how to prepare, model, visualize and analyze data in Power BI.
- Deep understanding of the core capabilities and value of Power BI and the ability to utilize each your Power BI desktop account
Details Of What You Will Learn
During This Course
- Learn the concepts that must be learned to pass the PL-300 exam
- Identify the business value and core components of Microsoft Power BI
- Be thoroughly prepared to take the PL 300 Certification Exam on your way to becoming a certified Power BI Data Analyst
- Prepare data model and data analysis in Power BI
- Manage workspaces and datasets in Power BI
- Practice datasets and real-world example to prepare you for the exam
This Course Module is Tailored for:
Data Analysts
Reporting Managers
Excel Users
The course is for business analysts aiming to pass the PL-300 exam and get certified with Microsoft Power BI Analyst Certification; business professionals who want to learn how to accurately perform data analysis using Power BI; and any individual who want to learn how Power BI works as a reporting tool.
LEARN HOW TO
Utilize the key features Power BI
- Visualize data in Power BI
- Perform data analysis in Power BI
- Demonstrate the capabilities of Power BI
- Get started with Microsoft data analytics
- Prepare data for analysis
- Model data in Power BI
Course Curriculum
1. Course Overview
- Introduction
- General Simulation
- PL-300 Exam Skilled Measured and Learning Paths
2. Get started with Microsoft data analytics
- Discover data analysis
- Get started building with Power BI
3. Prepare data for analysis
- Get data in Power BI
- Clean, transform, and load data in Power BI - 1
- Clean, transform, and load data in Power BI - 2
4. Model data in Power BI
- Design a data model in Power BI
- Introduction to creating measures using DAX in Power BI
- Optimize a model for performance in Power BI
5. Visualize data in Power BI
- Work with Power BI visuals
- Create a data-driven story with Power BI reports
- Create dashboards in Power BI
- Create paginated reports
6. Data analysis in Power BI
- Perform analytics in Power BI
- Work with AI visuals in Power BI
7. Manage workspaces and datasets in Power BI
- Work with Power BI visuals
- Create a data-driven story with Power BI reports
- Create dashboards in Power BI
- Create paginated reports
8. Data analysis in Power BI
- Create and manage workspaces in Power BI
- Manage datasets in Power BI
- Implement row-level security
Your Instructor
Ilgar Zarbaliyev
- A Microsoft-certified trainer and Microsoft award-winning educator with 16 certifications on Azure, Microsoft 365, Power Platform and Power BI
- Retail Store Manager with diversified experience into Textile Experience and Store.
- Operations Specialist with multi-unit & category management experience and Data Analyst who loves to interpret and analyze data to drive growth with furnishing insights, analytics, and business intelligence needed to guide decisions.
Frequently Asked Questions
- How long do I have access to the course? You have access to this course as long as you have Enterprise DNA On-Demand Subscription.
- Can I purchase a single course instead of the Enterprise DNA On-Demand? The option to purchase a single course has been discontinued. To access any of our courses, you will need to upgrade to full On-Demand Subscription here.
- Do you offer one-off support or coaching? All support around Power BI and Enterprise DNA's online training content now occurs at the Enterprise DNA Forum. You must have an Enterprise DNA On-Demand Subscription or For Business access to receive support.
- What if I need to train my team? We recommend exploring Enterprise DNA For Business. To learn more, see here.
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Empowering the most valuable data analysts to expand their analytical thinking and insight generation possibilities
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