PL-300 Microsoft Power BI Data Analyst Training - OEM Certkit

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Prerequisites
Successful Data Analysts start this role with experience of working with data in the cloud. Specifically:
Understanding core data concepts.
Knowledge of working with relational data in the cloud.
Knowledge of working with non-relational data in the cloud.
Knowledge of data analysis and visualization concepts.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals (DP-900) before taking this course.

Course outcome
Ingest, clean, and transform data
Model data for performance and scalability
Design and create reports for data analysis
Apply and perform advanced report analytics
Manage and share report assets
Create paginated reports in Power BI

Who should attend
The audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Demo PL-300 Microsoft Power BI Data Analyst Training

CertKit content:

E-learning courses:

PL-300: Using Power BI for Data Analysis

Course: 1 Hour, 9 Minutes

• Course Overview
• The DA-100 Power BI Certification
• What's Involved in the DA-100 Certification Exam
• A Definition of Data Analysis
• Job Roles in Data Analysis
• Data Analysis Tasks
• Data Analysis with Power BI
• The Basic Ingredients of Power BI
• Course Summary

PL-300: Loading & Transforming Data in Power BI

Course: 1 Hour, 20 Minutes

• Course Overview
• Downloading and Installing Power BI Desktop
• Loading Data from an Excel File into Power BI
• Loading Data from CSV and XML Files into Power BI
• Connecting Power BI to a JSON Data Source
• Connecting Power BI to a SQL Server Instance
• Trimming Data from a Data Source Using Power Query
• Transforming Data Types Using Power Query
• Merging Columns in Power Query
• Course Summary

PL-300: Preparing Data for Visualizations in Power BI

Course: 1 Hour, 51 Minutes

• Course Overview
• Loading Related Data into Power BI
• Profiling Data in Power Query
• Merging Tables in Power BI
• Combining Data in a Folder Using Power BI
• Performing Aggregate Operations on Data
• Using the M Formula Language in Power BI
• Applying Row-level Filters in Power BI
• Building a Simple Visualization in Power BI
• Loading Data to Power BI with DirectQuery
• Building a Visual with DirectQuery in Power BI
• Course Summary

Understanding Data Visualization

PL-300: Understanding Data Visualization

Course: 58 Minutes

• Course Overview
• The Importance of Data Visualization
• Choosing the Best Visualization Type
• Basic Tools in Power BI
• Best Practices for Standard Chart Types
• Waterfall, Funnel, and Map Charts
• Features and Best Practices of Power BI Reports
• Course Summary

PL-300: Creating & Formatting Charts In Power BI

Course: 1 Hour, 32 Minutes

• Course Overview
• Working with Column Charts in Power BI
• Configuring a Power BI Column Chart
• Formatting Column Charts
• Customizing Charts in Power BI
• Applying Color Scales to Bar Charts
• Creating Clustered and Stacked Charts
• Visualizing Data with Bar and Map Charts
• Loading and Editing Data in The Power Query Editor
• Creating Line Charts in Power BI
• Filtering Data Being Visualized
• Creating Area Charts
• Course Summary

PL-300: Leveraging Power BI with Ribbon, Line, Column, & Pie Charts

Course: 1 Hour, 22 Minutes

• Course Overview
• Combining Line Charts and Stacked Column Charts
• Using Line and Column Charts
• Visualizing the Ranking of Items Using Ribbon Charts
• Navigating through Hierarchical Graphs
• Exploring Features while Drilling through Charts
• Plotting Proportions of a Whole Using Pie Charts
• Creating Donut Charts
• Creating a Gauge Widget and Syncing It with a Table
• Applying a Color Scale on a Gauge Widget
• Visualizing a Sequential Process with Funnel Charts
• Course Summary

PL-300: Maps, Waterfall Charts, & Scatter Plots in Power BI

Course: 1 Hour, 7 Minutes

• Course Overview
• Building Maps to Visualize Geographical Data
• Plotting Population Data Using Maps
• Working with Filled Maps
• Drilling Up and Down in Hierarchical Charts
• Visualizing Data Using Color-scaled Filled Maps
• Using Waterfall Charts
• Constructing Waterfall Charts for Data Visualization
• Visualizing Relationships Using Scatter Charts
• Course Summary

PL-300: Matrix & Treemap Controls in Power BI

Course: 1 Hour, 43 Minutes

• Course Overview
• Working with Matrices In Power BI
• Creating Row and Column Hierarchies with Matrices
• Filtering and Drilling Hierarchical Matrices
• Formatting and Coloring Matrices in Power BI
• Adding Color Scales and Data Bars to a Matrix
• Applying Conditional Formatting on a Matrix
• Plotting Proportions of Parts Using Treemaps
• Creating and Formatting a Hierarchical Treemap
• Using and Drilling through Hierarchical Treemaps
• Creating Slicers and Filtering Data with Them
• Syncing Slicers across All Pages in a Report
• Filtering Numeric Fields Using Slicers
• Editing the Mobile Layout of a Report
• Course Summary

PL-300: Using the Power BI Service

Course: 40 Minutes

• Course Overview
• Getting Started with the Power BI Service
• Creating and Editing Dashboards
• Live-pinning Reports to Dashboards
• Asking Questions about Data Using the Q&A
• Pinning One Graph to Another in a Dashboard
• Course Summary

Creating & Formatting Charts In Power BI

PL-300: An Overview of Data Modeling in Power BI

Course: 1 Hour, 50 Minutes

• Course Overview
• Data Models in Power BI
• The Star Schema
• The DAX Language
• Optimizing Data Models
• Combining Two Tables
• Defining a Calculated Column
• Creating a Quick Measure
• Working with Table Visuals
• Defining a Star Rating Measure
• Using the COUNTAX Function
• Course Summary

PL-300: Applying the DAX Formula Language in Power BI

Course: 1 Hour, 16 Minutes

• Course Overview
• Loading Fact and Dimension Tables
• Calculating Sums with an Expression
• Using the AVERAGEX Function
• Generating Blank Data
• Applying Different Count Functions
• Creating Filtered Tables
• Using Nested DAX Functions
• Using the SWITCH Function
• Course Summary

PL-300: Working with Filters in Power BI

Course: 1 Hour, 22 Minutes

• Course Overview
• Defining Relationships between Tables
• Building DAX Formulas Spanning Tables
• Working with a Calculated Table
• Working in a Filter Context
• Ignoring the Filter Context
• Ignoring Filters with ALL
• Applying the ALLSELECTED Function
• Using ALLEXCEPT and REMOVEFILTERS
• Course Summary

PL-300: Using Time Intelligence in Power BI

Course: 54 Minutes

• Course Overview
• Creating a Date Table
• Relating Date Tables to Other Tables
• Using the DATEADD Function to Modify Date Ranges
• Using Year-to-date and Month-to-date Functions
• Applying the TOTALYTD Function
• Course Summary

PL-300: Advanced Modeling Technique in Power BI

Course: 1 Hour, 57 Minutes

• Course Overview
• Exploring and Loading a Sales Dataset
• Auto-detecting Relationships
• Using the LOOKUPVALUE Function
• Applying Bi-directional Cross-filtering
• Setting the Cardinality of Relationships
• Creating a Geographical Hierarchy
• Using Geographical Hierarchies
• Changing the Default Aggregation
• Grouping and Hiding Fields
• Using the Auto Date/Time Feature
• Setting up Entities for Row-level Security
• Implementing Row-level Security
• Validating Row-level Security
• Course Summary

Other info

• Leveraging Power BI with Ribbon, Line, Column, & Pie Charts
• Maps, Waterfall Charts, & Scatter Plots in Power BI
• Matrix & Treemap Controls in Power BI
• Using the Power BI Service
• Analysis & Sharing Features in Power BI
• Extracting Insights from Data Using Power BI
• Applying Power BI's Advanced Analysis Features
• Sharing Power BI Reports & Workspaces

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Practice Labs - Virtual Labs (option)

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