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Microsoft Power BI: Data Analysis Essentials
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Microsoft Power BI: Data Analysis Essentials Introduction
Welcome to “Microsoft Power BI: Data Analysis Essentials,” a course designed to guide you through the exciting world of data analysis in the age of big data. As we navigate through an era where data collection is integral to both business and personal decision-making, the ability to efficiently process, analyze, and derive insights from data has become crucial.
This course is tailored to equip you with the skills necessary to harness the power of Microsoft® Power BI®, a leading tool in the field of data visualization and analysis.
In this course, you will learn how the surge in data collection, largely driven by advancements in cloud computing, has transformed the way organizations approach data. We will explore the fundamentals of Power BI, a tool that not only connects seamlessly with a variety of data sources but also enables you to quickly create impactful visualizations and comprehensive reports.
You will discover how Power BI’s capabilities surpass those of traditional spreadsheet software, allowing you to produce interactive and engaging data presentations. These skills are essential for professionals who need to communicate complex data insights in a clear and compelling manner.
Through hands-on tutorials and real-world examples, you’ll gain practical experience in using Power BI to analyze data, spot trends, and make data-driven decisions.
Whether you’re a data scientist, a business professional, or just someone interested in data analysis, this course will provide you with a solid foundation in data visualization and help you unlock the full potential of Microsoft Power BI.
Course Objectives
- Analyze data with self-service BI.
- Connect to various data sources.
- Perform advanced data modeling and shaping.
- Create data visualizations with Power BI.
- Enhance data analysis.
- Utilize calculations for data modeling.
- Develop interactive visualizations.
Prerequisites
To succeed in this course, it’s recommended that you have experience managing data using spreadsheet programs like Microsoft Excel or Google Sheets.
Optionally, familiarity with other data analytics tools like Google Analytics™ or Customer Relationship Management (CRM) tools, along with a grasp of database design concepts and basic programming constructs such as looping and branching, can enhance your learning experience.
Audience
This course is tailored for professionals in various roles who currently use desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting server for numerical or general data analysis.
They are responsible for conducting data analysis and delivering reports. If you’re seeking alternative ways to analyze business data, visualize insights, and share them with peers, executives, and clients across the enterprise, this course is designed for you.
Microsoft Power BI: Data Analysis Essentials Outline
Analyzing Data with Self-Service BI
- Data Analysis and Visualization for Business Intelligence
- Self-Service BI with Microsoft Power BI
Connecting to Data
- Creating Data Connections
- Modeling Data with Relationships
- Saving Power BI Files
Performing Advanced Data Modeling and Shaping
- Cleaning and Transforming Data with the Query Editor
- Shaping Data with the Query Editor
- Combining and Managing Data Rows
Visualizing Data with Power BI
- Creating Visualizations in Power BI
- Charting Data in Power BI
Enhancing Data Analysis
- Enhancing Analysis with Customized Visuals and Pages
- Improving Analysis with Tooltips
Modeling Data with Calculations
- Creating Calculations with Data Analysis Expressions (DAX)
- Crafting Calculated Measures and Conditional Columns
Creating Interactive Visualizations
- Developing and Managing Data Hierarchies
- Filtering and Slicing Reports
- Building Dashboards in Power BI
Outline
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
$995.00
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2 Days Course |