Microsoft Power BI Data Analyst Course Overview
Start the Microsoft Power BI Data Analyst course to begin your journey toward mastering data analytics. This extensive program turns you into an expert Power BI user by teaching you how to connect, process, and analyze data. Develop your ability to manipulate and improve data, build complex data models, and produce dynamic dashboards and reports. You will learn about advanced analytics, row-level security, and DAX computations through practical labs, guaranteeing that data is both secure and insightful. You will be able to fully utilize PL300 Microsoft Power BI thanks to the practical applications in this course, which can be applied for both career advancement and organizational growth.
Course Prerequisites
- fundamental knowledge of reporting and data analysis concepts
- knowledge of Microsoft Excel formulas and functions
- familiarity with database or spreadsheet data management
- A basic understanding of data structures, including relationships, tables, columns, and rows
- A passion for discovery and learning Microsoft Analytics and Power BI
- Although not necessary, having some prior Power BI experience would be helpful.
- The ability to install Power BI Desktop for practice on a Windows computer (recommended system requirements apply)
- An awareness of the business environment and the motivation to convert business requirements into reports and data models
Target Audience for PL-300T00: Microsoft Power BI Data Analyst
- Learners who complete the PL-300T00: Microsoft Power BI Data Analyst course will have a thorough understanding of Power BI for data analytics and visualization.
- Analysts of Data
- Professionals in Business Intelligence
- Analysts of Business
- Scientists of Data
- Developers of Reports
- Data analytics-interested IT professionals
- Professionals looking to enhance their abilities in data analysis and presentation
- Users of Excel moving to Power BI
- Project managers must examine and present project data.
- Data engineers are those who prepare data for operational or analytical purposes.
- Professionals with a focus on data who wish to use Power BI to gain deeper insights
- Consultants offering their clients solutions for data analytics
Learning Objectives – What you will Learn in this PL-300T00: Microsoft Power BI Data Analyst?
- The PL-300T00: Microsoft Power BI Data Analyst course equips students with comprehensive skills in data analytics, modeling, and reporting using Power BI.
- Learning Objectives and Outcomes:
- Recognize the function of data analytics and Power BI’s place in the Microsoft ecosystem.
- Discover how to use Power BI to handle errors, profile data, and connect to multiple data sources.
- Learn how to use Power BI Desktop to sculpt, modify, and enhance data structures for optimal performance.
- Learn how to use DAX (Data Analysis Expressions) to create calculated columns, measures, and tables, as well as to design and optimize data models.
- Gain expertise in developing dynamic, eye-catching reports and dashboards that offer useful information.
- Discover more sophisticated data analytics methods, such as how to identify patterns and trends using AI visuals.
- Learn how to effectively distribute, share, and manage Power BI content throughout workspaces.
- Learn how to use row-level security in Power BI dashboards and reports to safeguard data.
Career growth after the course:
Students who successfully complete the PL-300T00: Microsoft Power BI Data Analyst course will have strong data analysis and visualization abilities. After earning the PL-300 certification, people can work in a variety of industries, including retail, healthcare, and finance, as business intelligence analysts, data analysts, or power BI consultants. Proficiency in producing powerful reports and dashboards a talent highly valued for data-driven decision-making is guaranteed by mastery of Microsoft Power BI. A person with this certification not only becomes more adept at data storytelling, but it also gives them an advantage in a labor market where analytics are becoming more and more important. The future of Power BI specialists appears bright, with plenty of room for professional growth and advancement as long as companies stick to their data-centric strategies.
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Schedule Dates
28-30 October
11-13 November
27-29 November
9-11 December