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Microsoft Power BI

Information Technology > Business intelligence and data analysis

Description

Microsoft Power BI is a powerful business analytics tool that enables users to visualize and share insights from their data. It allows for seamless connection to various data sources, transforming raw data into interactive and visually appealing reports and dashboards. With features like advanced data modeling, custom visualizations, and robust DAX (Data Analysis Expressions) functions, Power BI helps users uncover trends, patterns, and actionable insights. It also supports collaboration through sharing and publishing capabilities, making it easier for teams to make data-driven decisions. Whether you're a beginner or an expert, Power BI offers a scalable solution for all your data analysis needs.

Expected Behaviors

✎
LEVEL 1

Fundamental Awareness

At the fundamental awareness level, individuals are expected to understand the basic interface and functionalities of Power BI, including connecting to data sources, importing data, creating simple visualizations, and using basic filters. They can save and publish reports but require guidance for more complex tasks.

🌱
LEVEL 2

Novice

Novices can perform advanced data import techniques, manage relationships, and use DAX for basic calculations. They can customize visualizations, create slicers, and share reports and dashboards. They have a foundational understanding but still need support for intermediate tasks.

🌍
LEVEL 3

Intermediate

Intermediate users are proficient in advanced DAX functions, creating measures, and implementing row-level security. They can use Power Query for data transformation, create interactive dashboards, and optimize data models for performance. They work independently on most tasks but may need occasional guidance.

⭐
LEVEL 4

Advanced

Advanced users excel in data modeling techniques, utilizing Power BI service features, and integrating Power BI with other tools. They can create custom visuals, implement advanced analytics, and automate data refreshes. They are capable of handling complex projects with minimal supervision.

🏆
LEVEL 5

Expert

Experts develop custom DAX functions, perform advanced performance tuning, and implement enterprise-level security. They build complex data pipelines, conduct in-depth data analysis, and lead Power BI projects and teams. They are the go-to resource for solving the most challenging problems and driving strategic initiatives.

Micro Skills

✎
LEVEL 1

Fundamental Awareness

Identifying the Ribbon and its Tabs
Navigating the Report View
Using the Fields Pane
Understanding the Visualizations Pane
Exploring the Filters Pane
Using the Get Data Feature
Connecting to Excel Files
Connecting to SQL Databases
Connecting to Web Data Sources
Managing Data Source Settings
Loading Data into Power BI
Using the Query Editor
Applying Basic Transformations
Removing Unnecessary Columns
Renaming Columns and Tables
Adding a Visualization to a Report
Changing Visualization Types
Formatting Visualizations
Using Data Fields in Visualizations
Creating Bar and Column Charts
Applying Visual-Level Filters
Applying Page-Level Filters
Applying Report-Level Filters
Using Basic Filter Options
Clearing Filters
Saving a Power BI Report
Publishing to Power BI Service
Updating Published Reports
Managing Report Versions
Sharing Reports with Others
🌱
LEVEL 2

Novice

Using Web Data Sources
Importing Data from Excel
Using APIs for Data Import
Handling Large Datasets
Understanding Relationship Types
Creating One-to-Many Relationships
Creating Many-to-Many Relationships
Managing Relationship Cardinality
Resolving Relationship Conflicts
Creating Calculated Columns
Using Basic Arithmetic Functions
Implementing Logical Functions
Using Text Functions
Creating Date and Time Calculations
Formatting Visual Elements
Using Conditional Formatting
Adding and Customizing Tooltips
Applying Themes to Visuals
Adding Slicers to Reports
Configuring Slicer Settings
Using Hierarchical Slicers
Syncing Slicers Across Pages
Customizing Slicer Appearance
Sharing Reports with Colleagues
Embedding Reports in Websites
Setting Up Report Subscriptions
Managing Report Permissions
🌍
LEVEL 3

Intermediate

Understanding CALCULATE and FILTER
Using Time Intelligence Functions
Implementing Iterator Functions
Creating Calculated Columns and Tables
Using Variables in DAX
Defining Measures vs. Calculated Columns
Creating Basic Measures
Using Aggregation Functions
Implementing Conditional Measures
Optimizing Measures for Performance
Understanding Row-Level Security Concepts
Creating Security Roles
Assigning Users to Roles
Testing Security Roles
Managing Security in Power BI Service
Understanding Power Query Editor Interface
Using M Language for Advanced Transformations
Combining Multiple Queries
Managing Query Dependencies
Designing Dashboard Layouts
Using Bookmarks and Selections
Implementing Drillthrough and Drilldown
Creating Custom Tooltips
Enhancing User Experience with Buttons and Actions
Understanding Data Model Best Practices
Reducing Data Model Size
Using Aggregations and Summarizations
Managing Relationships and Cardinality
Monitoring and Improving Query Performance
⭐
LEVEL 4

Advanced

Creating Star and Snowflake Schemas
Implementing Slowly Changing Dimensions
Using Composite Models
Handling Many-to-Many Relationships
Optimizing Data Storage
Setting Up Workspaces
Managing Dataflows
Configuring Data Gateways
Scheduling Data Refreshes
Collaborating with Teams
Connecting to Azure Services
Using Power BI REST API
Embedding Power BI Reports
Integrating with Microsoft Teams
Connecting to On-Premises Data Sources
Understanding the Power BI Visuals SDK
Setting Up a Development Environment
Building Basic Custom Visuals
Testing and Debugging Custom Visuals
Publishing Custom Visuals to AppSource
Using R and Python Scripts in Power BI
Applying Machine Learning Models
Performing Time Series Analysis
Conducting Predictive Analytics
Visualizing Advanced Statistical Data
Setting Up Incremental Refresh
Using Power Automate for Data Refresh
Configuring Data Source Credentials
Monitoring Refresh Failures
Optimizing Refresh Performance
🏆
LEVEL 5

Expert

Understanding DAX Syntax and Functions
Creating Calculated Columns and Measures
Implementing Time Intelligence Functions
Debugging and Optimizing DAX Code
Identifying Performance Bottlenecks
Optimizing Data Models
Using VertiPaq Analyzer
Implementing Aggregations
Monitoring and Analyzing Query Performance
Setting Up Row-Level Security (RLS)
Managing User Roles and Permissions
Using Azure Active Directory for Authentication
Implementing Object-Level Security (OLS)
Auditing and Monitoring Security Logs
Designing ETL Processes
Using Dataflows for Data Preparation
Integrating with Azure Data Factory
Handling Incremental Data Loads
Ensuring Data Quality and Consistency
Performing Statistical Analysis with DAX
Creating Advanced Visualizations
Implementing Predictive Analytics
Interpreting and Communicating Insights
Defining Project Scope and Objectives
Managing Stakeholder Expectations
Coordinating Team Activities
Ensuring Best Practices and Standards
Conducting Training and Knowledge Sharing

Skill Overview

  • Expert2 years experience
  • Micro-skills144
  • Roles requiring skill26

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