Microsoft Power BI Skill Overview

Welcome to the Microsoft Power BI Skill page. You can use this skill
template as is or customize it to fit your needs and environment.

    Category: Technical > 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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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

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

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

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

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

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

Tech Experts

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StackFactor Team
We pride ourselves on utilizing a team of seasoned experts who diligently curate roles, skills, and learning paths by harnessing the power of artificial intelligence and conducting extensive research. Our cutting-edge approach ensures that we not only identify the most relevant opportunities for growth and development but also tailor them to the unique needs and aspirations of each individual. This synergy between human expertise and advanced technology allows us to deliver an exceptional, personalized experience that empowers everybody to thrive in their professional journeys.
  • Expert
    2 years work experience
  • Achievement Ownership
    Yes
  • Micro-skills
    144
  • Roles requiring skill
    12
  • Customizable
    Yes
  • Last Update
    Wed Jul 17 2024
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