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Microsoft Power BI Data Analyst PL300 Overview
Microsoft Power BI Data Analyst PL300 Course Outline
Module 1: Discover Data Analysis
- Overview of Data Analysis
- Roles in Data
- Tasks of a Data Analyst
Module 2: Get Started Building with Power BI
- Use Power BI
- Building Blocks of Power BI
- Tour and Use the Power BI Service
Module 3: Get Data in Power BI
- Get Data from Files
- Get Data from Relational Data Sources
- Create Dynamic Reports with Parameters
- Get Data from a Nosql Database
- Get Data from Online Services
- Select A Storage Mode
- Get Data from Azure Analysis Services
- Fix Performance Issues
- Resolve Data Import Errors
- Exercise - Prepare Data in Power BI Desktop
Module 4: Clean, Transform, And Load Data in Power BI
- Shape the Initial Data
- Simplify the Data Structure
- Evaluate and Change Column Data Types
- Combine Multiple Tables into a Single Table
- Profile Data in Power BI
- Use Advanced Editor to Modify M Code
- Exercise - Load Data in Power BI Desktop
Module 5: Describe Power BI Desktop Models
- Star Schema Design
- Analytic Queries
- Configure Report Visuals
Module 6: Choose a Power BI Model Framework
- Describe Power BI Model Fundamentals
- Determine When to Develop an Import Model
- Determine When to Develop a Directquery Model
- Determine When to Develop a Composite Model
- Choose a Model Framework
Module 7: Design a Semantic Model in Power BI
- Work with Tables
- Create a Date Table
- Work with Dimensions
- Define Data Granularity
- Work with Relationships and Cardinality
- Resolve Modeling Challenges
- Exercise - Model Data in Power BI Desktop
Module 8: Write Dax Formulas for Power BI Desktop Models
- Write Dax Formulas
- Dax Data Types
- Work with Dax Functions
- Use Dax Operators
- Use Dax Variables
Module 9: Add Measures to Power BI Desktop Models
- Create Simple Measures
- Create Compound Measures
- Create Quick Measures
- Compare Calculated Columns with Measures
- Check Your Knowledge
- Exercise - Create Dax Calculations in Power BI Desktop
Module 10: Add Calculated Tables and Columns to Power BI Desktop Models
- Create Calculated Columns
- Learn About Row Context
- Choose a Technique to Add a Column
Module 11: Use Dax Time Intelligence Functions in Power BI Desktop Models
- Use Dax Time Intelligence Functions
- Additional Time Intelligence Calculations
- Exercise - Create Advanced Dax Calculations in Power BI Desktop
Module 12: Optimise a Model for Performance in Power Bi
- Introduction to Performance Optimisation
- Review Performance of Measures, Relationships, And Visuals
- Use Variables to Improve Performance and Troubleshooting
- Reduce Cardinality
- Optimise Directquery Models with Table Level Storage
- Create and Manage Aggregations
Module 13: Enforce Power BI Model Security
- Restrict Access to Power BI Model Data
- Restrict Access to Power BI Model Objects
- Apply Good Modeling Practices
- Exercise: Enforce Model Security
Module 14: Scope Report Design Requirements
- Identify the Audience
- Determine Report Types
- Define User Interface Requirements
- Define User Experience Requirements
- Explore Report Designs
Module 15: Design Power BI Reports
- Design the Analytical Report Layout
- Design Visually Appealing Reports
- Report Objects
- Select Report Visuals
- Select Report Visuals to Suit the Report Layout
- Format and Configure Visualisations
- Work with Key Performance Indicators
- Exercise - Design a Report in Power Bi Desktop
Module 16: Configure Power BI Report Filters
- Introduction to Designing Reports for Filtering
- Apply Filters to The Report Structure
- Apply Filters with Slicers
- Design Reports with Advanced Filtering Techniques
- Consumption-Time Filtering
- Select Report Filter Techniques
- Case Study - Configure Report Filters Based on Feedback
Module 17: Enhance Power BI Report Designs for the User Experience
- Design Reports to Show Details
- Design Reports to Highlight Values
- Design Reports that Behave Like Apps
- Work with Bookmarks
- Design Reports for Navigation
- Work with Visual Headers
- Design Reports with Built-In Assistance
- Tune Report Performance
- Optimise Reports for Mobile Use
- Exercise - Enhance Power BI Reports
Module 18: Perform Analytics in Power BI
- Introduction to Analytics
- Explore Statistical Summary
- Identify Outliers with Power BI Visuals
- Group and Bin Data for Analysis
- Apply Clustering Techniques
- Conduct Time Series Analysis
- Use the Analyse Feature
- Create What-If Parameters
- Use Specialised Visuals
- Exercise - Perform Advanced Analytics with Ai Visuals
Module 19: Create Paginated Reports
- Introduction to Paginated Reports
- Get Data
- Create a Paginated Report
- Work with Charts on the Report
- Publish the Report
Module 20: Create and Manage Workspaces in Power BI
- Distribute a Report or Dashboard
- Monitor Usage and Performance
- Recommend a Development Life Cycle Strategy
- Troubleshoot Data by Viewing its Lineage
- Configure Data Protection
Module 21: Manage Semantic Models in Power BI
- Use a Power BI Gateway to Connect to On-Premises Data Sources
- Configure a Semantic Model Scheduled Refresh
- Configure Incremental Refresh Settings
- Manage and Promote Semantic Models
- Troubleshoot Service Connectivity
- Boost Performance with Query Caching (Premium)
Module 22: Create Dashboards in Power BI
- Introduction to Dashboards
- Configure Data Alerts
- Explore Data by Asking Questions
- Review Quick Insights
- Add a Dashboard Theme
- Pin a Live Report Page to a Dashboard
- Configure a Real-Time Dashboard
- Set Mobile View
- Exercise - Create a Power BI Dashboard
Module 23: Implement Row-Level Security
- Configure Row-Level Security with the Static Method
- Configure Row-Level Security with the Dynamic Method
- Exercise - Enforce Row-Level Security in Power BI
Who should attend this Microsoft Power BI Data Analyst PL300 Course?
This Microsoft Power BI Data Analyst PL300 Training Course is designed for professionals who work with Data Analysis, Business Intelligence, and those responsible for creating insightful reports and dashboards for decision-making. This training course is especially beneficial for these professionals:
- Data Analysts
- Business Analysts
- Data Engineers
- Business Intelligence Professionals
- IT Professionals
- Managers
- Team Leads
Prerequisites of the Microsoft Power BI Data Analyst PL300 Course
There are no formal prerequisites for the Microsoft Power BI Data Analyst PL300 Training Course. However, a basic understanding of cloud data experience can be beneficial.
Microsoft Power BI Data Analyst PL300 Course Overview
The Microsoft Power BI Data Analyst PL300 Course is designed to equip delegates with the skills required to effectively analyse data and create powerful visual reports. In today's data-driven world, the ability to interpret and present data clearly is crucial for informed decision-making. This course offers comprehensive training on Power BI, Microsoft's leading business analytics tool.
Proficiency in Microsoft Power BI Data Analyst PL300 is essential for Data Analysts, Business Intelligence Professionals, and any role involving data interpretation. Mastering this tool allows professionals to transform raw data into meaningful insights, aiding strategic decisions. Those aiming to enhance their data visualisation capabilities and report generation skills will benefit greatly from this course.
This 3-day Microsoft Power BI Data Analyst PL300 training by The Knowledge Academy provides delegates with hands-on experience in using Power BI to analyse data and create compelling visualisations. Through practical exercises and expert instruction, Delegates will learn to navigate the Power BI interface, connect to data sources, and design interactive dashboards, ensuring they can apply these skills immediately in their workplace.
Course Objectives
- To understand the Power BI service and its components
- To connect to various data sources and import data
- To clean and transform data for analysis
- To create and customise data visualisations
- To design interactive reports and dashboards
- To share and publish reports within an organisation
After completing the Microsoft Power BI Data Analyst PL300 Course, delegates will possess a robust understanding of Power BI. They will be able to create and share insightful reports, enabling their organisations to make data-driven decisions more effectively.
What’s included in this Microsoft Power BI Data Analyst PL300 Course?
- World-Class Training Sessions from Experienced Instructors
- Microsoft Power BI Data Analyst PL300 Certificate
- Digital Delegate Pack
Why choose us
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Microsoft Power BI Data Analyst PL300. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
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Join a scheduled class with a live instructor and other delegates.
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Engage in activities, and communicate with your trainer and peers.
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We handpick from a global pool of expert trainers for our Online Instructor-led courses.
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With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
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With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's Microsoft Power BI Data Analyst PL300, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
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Microsoft Power BI Data Analyst PL300 FAQs
The Microsoft Power BI Data Analyst PL300 Certification validates skills in designing, building, and implementing data models using Power BI. It demonstrates your ability to deliver actionable insights, optimise data workflows, and create interactive visualisations.
This Microsoft Power BI Data Analyst PL300 Certification enhances your professional credibility, showcasing expertise in Power BI. It boosts your career prospects, qualifies you for data-focused roles, and equips you with the tools to make data-driven decisions in modern business environments.
The Microsoft Power BI Data Analyst PL300 Training is ideal for Data Analysts, Business Intelligence Professionals, and individuals aspiring to work with Power BI. It suits anyone seeking to enhance their data visualisation, reporting, and analytics skills for career advancement.
In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
There are no formal prerequisites for the Microsoft Power BI Data Analyst PL300 Training Course. However, a basic understanding of cloud data experience can be beneficial.
The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.
The Microsoft Power BI Data Analyst PL300 Training is moderately challenging. It is beginner-friendly but assumes a basic understanding of data concepts. It progressively covers Power BI essentials, making it accessible yet comprehensive for individuals with varying experience levels.
Learning Power BI PL-300 equips you with highly sought-after skills for data analysis and visualisation. It enhances career opportunities, improves decision-making capabilities, and empowers you to create impactful data-driven business insights efficiently.
Yes, we provide corporate training for this Microsoft Power BI Data Analyst PL300 Course, tailored to fit your organisation’s requirements.
This certification qualifies you for roles such as Data Analyst, Business Intelligence Analyst, Data Visualisation Specialist, and Reporting Analyst. These positions focus on transforming data into actionable insights to support strategic decision-making.
No prior Power BI experience is required, though familiarity with basic data concepts, Excel, or analytics tools is advantageous. The course is designed to accommodate beginners while also benefiting those with some foundational knowledge.
The PL-300 exam duration is 3-day. It evaluates your proficiency in using Power BI for data modelling, visualisation, and analysis through a mix of practical and theoretical questions.
You can attempt the PL-300 exam up to five times within a year. After a failed attempt, Microsoft requires a waiting period before the next try, following their retake policy.
The Knowledge Academy in Canada stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking Microsoft Power BI Data Analyst PL300 Courses.
The training fees for Microsoft Power BI Data Analyst PL300in Canada starts from CAD3895
The Knowledge Academy is the Leading global training provider for Microsoft Power BI Data Analyst PL300.
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
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