The Microsoft Power BI Data Analyst Certification Training is aimed at individuals who wish to enhance their data visualization and analysis skills. This course covers all facets of Power BI, including data transformation and structuring, creating visualizations, configuring dashboards, and using Power BI and Excel together. It also delves into effective data shaping and combining strategies, advanced analytics such as AI visuals and data profiling, and managing and sharing content effectively. This course helps data professionals optimize the value of their business data assets.
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PL-300: Microsoft Power BI Data Analyst course
Microsoft Power BI Data Analyst course equips learners with skills in data visualization and business intelligence. It covers data querying, transformation, and modeling, enabling the creation of insightful reports and dashboards. Participants learn to connect various data sources, perform advanced analytics, and share compelling insights. This course is essential for professionals seeking to analyze and visualize data effectively, driving informed decision-making within organizations. It is a valuable asset for those in roles like data analysts, business analysts, and business intelligence professionals
- Overview
- Course Outline
Course Prerequisites
– Familiarity with Microsoft Power BI
– Understanding of data analytics
– Knowledge of data visualization concepts
– Prior experience with data warehouse schema topology
– Basic understanding of data structures
– Ability to interpret and implement business requirements
– Proficiency in English language.
Why Should You Learn PL-300T00: Microsoft Power BI Data Analyst?
Learning the PL-300T00: Microsoft Power BI Data Analyst course benefits in data interpretation, visualization, and statistically analyzing complex business scenarios. It enhances the ability to establish data-driven decision-making processes by transforming raw data into insightful reports and dashboards with Power BI tools.
Target Audience for PL-300T00: Microsoft Power BI Data Analyst Certification Training
– Data analysts seeking advanced knowledge of Power BI
– IT professionals interested in data visualization and analysis
– Business professionals who use data for decision-making
– Beginners willing to start a career in data analytics
– Existing Microsoft Power BI users who want to upgrade their skills
Why Choose Us for PL-300: Microsoft Power BI Data Analyst Certification Training?
• Certified Instructors: Students receive training from certified instructors, ensuring a high-quality learning experience.
• Boost Your Career: The PL-300T00: Microsoft Power BI Data Analyst training can significantly elevate your career prospects.
• Customized Training Programs: We offers tailored programs to suit individual learning needs.
• Destination Training: The institute provides immersive, destination training.
• Affordable Pricing: Their training courses are competitively priced and offer value for money.
• Top Training Institute: We are recognized as a top training institute in the tech education sphere.
• Flexible Dates: The institute offers flexible scheduling options for convenience.
• Instructor-Led Online Training: Live online courses are available for remote learning.
• Wide Range of Courses: Students can choose from a broad array of technical training offerings.
• Accredited Training: The training provided is accredited confirming to global standards.
PL-300T00: Microsoft Power BI Data Analyst Skills Measured
After completing the PL-300: Microsoft Power BI Data Analyst certification training, an individual acquires skills in designing and building scalable data models, converting data into meaningful visualizations, and constructing dashboards to provide actionable insights. They also gain proficiency in managing and sharing data reports, applying role-based security, integrating Power BI with other Microsoft services, creating paginated reports, and unlocking valuable insights through data analysis. Additionally, they learn how to use DAX (Data Analysis Expressions) for complex analytical calculations.
What you will Learn in this Course:
- Introduction to Power BI: Understand the fundamentals of Power BI, including its features, components, and capabilities. Learn how to navigate the Power BI interface and access data from different sources.
- Data Modeling: Explore data modeling concepts in Power BI. Learn how to create relationships between tables, define calculated columns and measures, and optimize data models for better performance.
- Creating Visualizations: Gain knowledge of creating visualizations in Power BI. Learn how to use different chart types, customize visuals, and add interactive features like slicers, filters, and drill-through actions.
- Power Query: Understand the Power Query feature in Power BI for data transformation and shaping. Learn how to import data from various sources, clean and transform data, and create reusable query functions.
- DAX (Data Analysis Expressions): Explore the DAX language used in Power BI for advanced calculations and data analysis. Learn how to write DAX formulas, use DAX functions, and create calculated tables and measures.
- Data Exploration and Analysis: Learn techniques for exploring and analyzing data in Power BI. Understand how to create and use hierarchies, apply filters and conditional formatting, and perform advanced data analysis using features like grouping, forecasting, and clustering.
- Power BI Service: Gain knowledge of the Power BI service, which allows sharing and collaboration of Power BI reports and dashboards. Learn how to publish reports to the Power BI service, create and manage workspaces, and set up data refresh schedules.
- Power BI Mobile App: Understand the Power BI mobile app and its capabilities for accessing and interacting with Power BI content on mobile devices. Learn how to create mobile-optimized reports and dashboards.
Throughout the PL-300 course, there will be hands-on labs and exercises to reinforce the concepts and provide practical experience with Power BI. Participants will also have the opportunity to ask questions, engage in discussions, and learn from the instructor and fellow participants.
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Module 1: Get Started with Microsoft Data Analytics
- Data Analytics and Microsoft
- Getting Started with Power BI
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Module 2: Getting Data in Power BI
- Data Analytics and Microsoft
- Optimize Performance
- Resolve Data Errors
- Lab – Prepare data in Power BI Desktop
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Module 3: Cleaning, Transforming, and Loading Data in Power BI
- Shaping the Data
- Profiling the Data
- Enhance the data structure
- Lab: Loading Data in Power BI Desktop
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Module 4: Design a Data Model in Power BI
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
- Lab: Data Modeling in Power BI Desktop
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Module 5: Create Model Calculations using DAX in Power BI
- Introduction to DAX
- Real-time dashboards
- Advanced DAX
- Lab: Introduction to DAX in Power BI Desktop
- Lab: Advanced DAX in Power BI Desktop
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Module 6: Optimize Model Performance in Power BI
- Optimize the data model for performance
- Optimize DirectQuery Models
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Module 7: Create Reports in Power BI
- Design a report
- Enhance the report
- Lab: Designing a report in Power BI Desktop
- Lab: Enhancing reports with interaction and formatting in Power BI Desktop
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Module 8: Perform Data Analysis in Power BI
- Advanced Analytics
- Data Insights through AI visuals
- Lab: Perform Data Analysis in Power BI Desktop
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Module 9: Create and Manage Workspaces in Power BI
- Creating Workspaces
- Sharing and Managing Assets
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Module 10: Manage Files and Datasets in Power BI
- Parameters
- Datasets
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Module 11: Create Dashboards in Power BI
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
- Lab: Creating a Dashboard in Power BI Service
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Module 12: Row-level Security in Power BI
- Security in Power BI
- Lab: Enforce Row-Level Security
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