Description
Course Overview
Session 01: Getting Started
- Course structure and outline
- Setting Expectations
- Heads UP! PL-300 Exam
- Exam structure
- Skills Measured
- Exam Questions Type
- Example Knowledge-based questions
- Example Case Study questions
- Exam Rules
- Scheduling Exam
- Exam Results
- Certification Renewal Process
Session 02: Setting Up Power BI Desktop and Service
- Installing Power BI – Desktop
- Creating an Account and Free Trial
- Power BI Service Interface
- Creating your first workspace
Session 03: Data Prep: Getting Data from Different Sources
- Connecting Data
- The Query Editor
- Example | Connecting to JSON files
- Example | Connecting to PBDIS files
- Example | Connecting to Microsoft Dataverse
- Example | Connecting to SSAS
- Example | Connecting to Sharepoint Online
- Storage modes
- Data Source Settings
- Dynamic Sources with Parameters
Session 04: Data Prep: Profiling
- The View Menu
- Column Quality
- Column Distribution
- Column Profile
Session 05: Data Prep: Cleaning, Transforming, and Loading
- Basic Table Transformations
- Index Column
- Conditional Columns
- Columns from Example
- Grouping and Aggregation
- Pivoting and Unpivoting
- Merging Queries
- Appending Queries
- Intro to M Code and Editing Applied Steps
- The Advance Editor
- Common M Function Categories
- M Code Syntax
Session 06: Data Modeling 101
- What is a Data Model
- Data Tables vs Lookup Tables
- Creating Table Relationships
- Relationship Cardinality and Filter Row
- Active and Inactive Relationship
- Creating a Snowflake schemas
- Automatic Data Tables
- Data Table Requirements
- Model Optimization Tips
Session 07: Data Modeling: DAX Calculations
- Meet DAX
- Calculated Columns
- Measures
- Quick Measures
- Common DAX Function Categories
- Basic Aggregation Functions
- Iterator Functions
- DIVIDE
- CALCULATE
- CALCULATE (Modifiers)
- USERELATIONSHIP
- ALL
- FILTER
- TOPN
- Time Intelligence Functions
Session 08: Data Visualization: Creating Reports and Dashboards
- Power BI Report View
- Objects and Basic Charts
- TIP: Small Multiples
- Editing Reports Interactions
- Drill-through Filters
- Bookmarks
- Tooltips
- Importing Custom Visuals
- R & Python Visuals
- Accessibility Features
- Creating a Dashboard in Power BI Service
- Dashboard Interface
- Web vs Mobile Layout
- TIP: Paginated Reports
- TIP: Creating PivotTables from Power BI Datasets
Session 09: Data Analysis: Enhancing Reports
- Chart Types based on Analysis.
- Chart Analytics Options
- Q&A Visuals
- Filtering Options
- Slicers
- Key Influencers Visual
- Decomposition Tree Visual
- Clustering
- Grouping and Binning
Session 10: Deploying and Maintaining Deliverables
- Schedule Datasets refresh
- Static Row-Level security
- Dynamic Row-Level security
- Apply RLS in Power BI Service
- Azure Security Groups
- Subscriptions
- Sharing Options
- User Roles and Permissions
- Publishing Apps
- Deployment Pipelines
- Data Lineage
- Incremental refresh and Query folding
- Configuring incremental refresh
- Large Dataset Storage Format
- Endorsing Content
- Sensitivity Labels
Every topic will be done with real world use cases, using many examples that allow you to see how the real work is in a role related to BI Developer, Reporting Developer, or Data Analyst.
Price: $1659.00
Offer for Enrollments this Month: $1319
Duration: 20 hours
Available Schedules:
- To be determined.