Data Analysis With Power Bi
Course Overview:
This comprehensive course introduces participants to the powerful features and capabilities of Power BI for data analysis and visualization. Power BI is a leading business intelligence tool that enables users to transform raw data into insightful reports and dashboards.
Through a series of modules, students will gain hands-on experience with Power BI Desktop and Power BI Service, learning how to clean, transform, and combine data from various sources, create interactive visualizations, and publish reports to the Power BI Service.
Who is this course for?
This course on “Data Analysis with Power BI” is designed for individuals who are interested in developing their skills in data analysis and visualization using Power BI. Whether you are a data analyst, business intelligence professional, or anyone seeking to gain insights from data, this course offers valuable knowledge and practical experience with Power BI.
Course Benefits
The course benefits learners in the following ways:
- Introduction to Power BI: If you are new to Power BI, this course provides a comprehensive introduction to the tool. You will learn about its features, capabilities, and components, empowering you to leverage Power BI for data analysis.
- Data Cleaning and Transformation: Data analysis starts with clean and transformed data. Through modules dedicated to data cleaning, transformation, and combining data sources, you will acquire the skills to prepare your data for analysis effectively.
- Visualization Techniques: Power BI offers a range of visualization options to present data in a compelling and interactive manner. You will learn how to create visualizations, customize their appearance, and add interactivity to enhance data exploration and storytelling.
- Power Query Editor: Power Query Editor is a powerful tool within Power BI for data transformation. This course dives into its functionalities, teaching you how to shape and manipulate data using various techniques such as splitting columns, changing data types, and creating conditional columns.
- Publishing and Collaboration: The course covers publishing Power BI reports to the Power BI Service, allowing you to share your analysis with others. You will learn how to collaborate, access shared content, and create Power BI Apps for targeted distribution of dashboards and reports.
- Integration with External Data Sources: Power BI offers seamless integration with various data sources, including web-based APIs and databases such as Microsoft Access. This course equips you with the skills to connect, import, and transform data from these sources, expanding your data analysis capabilities.
- Improved Data Analysis Skills: By completing this course, learners will gain a solid understanding of data analysis principles, best practices, and techniques using Power BI. This knowledge will enhance their ability to derive meaningful insights, make data-driven decisions, and communicate analysis effectively.
- Career Opportunities: Proficiency in Power BI is highly sought after in the job market. By acquiring data analysis skills with Power BI, learners can increase their career prospects in fields such as data analytics, business intelligence, and data-driven decision-making roles.
Overall, this course provides a comprehensive foundation in data analysis with Power BI, enabling learners to harness the power of data, uncover insights, and present information in a visually compelling manner. Whether you are a beginner or have some experience with Power BI, this course will equip you with the necessary skills to excel in your data analysis journey.
DATA ANALYSIS WITH POWER BI
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1What Is Power Bi
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2What Is Power Bi Desktop
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3Installing Power Bi Desktop
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4Power Bi Desktop Tour
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5Power Bi Overview Part 1
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6Power Bi Overview Part 2
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7Power Bi Overview Part 3
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8Components Of Power Bi
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9Building Blocks Of Power Bi
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10Exploring Power Bi Desktop Interface
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11Exploring Power Bi Service
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12Power Bi Apps
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13Connecting To Web Data
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14Clean And Transform Data Part 1
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15Clean And Transform Data Part 2
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16Combining Data Sources
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17Creating Visualization Part 1
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18Creating Visualization Part 2
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19Publishing Reports To Power Bi Service
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20Importing And Transporting Data From Access DB File
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21Changing Locale
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22Connecting To MS Access DB File
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23Power Query Editor And Queries
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24Creating And Managing Query Groups
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25Renaming Queries
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26Splitting Columns
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27Changing Data Types
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28Removing And Reordering Columns
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29Duplicating And Adding Columns
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30Creating Conditional Columns
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31Connecting To Files In Folder
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32Appending Queries
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33Merge Queries
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34Query Dependency View
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35Transform Less Structured Data Part 1
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36Transform Less Structured Data Part 2
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37Creating Tables
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38Query Parameters