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Microsoft Power BI: Data Practitioner

Price
800 - 1,190 USD
2 Days
LO-095206
Classroom Training, Online Training
Microsoft

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  • Guaranteed to Run
    Date: 23-Dec-2024 to 24-Dec-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: united
    Price: 800 USD
  • Date: 6-Jan-2025 to 7-Jan-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,190 USD
  • Date: 3-Feb-2025 to 4-Feb-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,190 USD
  • Date: 3-Mar-2025 to 4-Mar-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,190 USD
  • Date: 31-Mar-2025 to 1-Apr-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,190 USD
  • Date: 28-Apr-2025 to 29-Apr-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,190 USD
  • Date: 23-Jun-2025 to 24-Jun-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,190 USD
  • Date: 21-Jul-2025 to 22-Jul-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,190 USD
  • Date: 18-Aug-2025 to 19-Aug-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,190 USD
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Course Description

Overview

As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and a competitive advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
 

Objectives

In this course, you will explore and visualize data with Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform advanced data modeling and shaping. Visualize data with Power BI. Enhance data analysis. Model data with calculations. Create interactive visualizations.
 

Audience

This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools such as Microsoft Excel or SQL Server reporting server to perform numerical or general data analysis. They are responsible for conducting data analysis and providing reports about their analysis, and are looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients.
 

Prerequisites

    To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel or Google Sheets. To meet this prerequisite, you can take any one or more of the following Logical Operations courses: Microsoft® Office Excel® 2016: Part 1 (Desktop/Office 365™) Microsoft® Office Excel® 2016: Part 2 Using Google G Suite™ Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM) tools, as well as an understanding of database design concepts and basic programming constructs such as looping and branching, will help you get even more out of this course. The following courses are helpful but not required: Google Analytics™: Foundation (Second Edition) Database Design: A Modern Approach Microsoft® Office Excel® 2016: Data Analysis with Power Pivot
     

Topics

Lesson 1: Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Lesson 2: Connecting to Data Topic A: Create Data Connections Topic B: Model Data with Relationships Topic C: Save Power BI Files Lesson 3: Performing Advanced Data Modeling and Shaping Topic A: Clean and Transform Data with the Query Editor Topic B: Shape Data with the Query Editor Topic C: Combine and Manage Data Rows Lesson 4: Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Lesson 5: Enhancing Data Analysis Topic A: Enhance Analysis with Customized Visuals and Pages Topic B: Enhance Analysis with Tooltips Lesson 6: Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Lesson 7: Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards in Power BI
 
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