• Duration 2 hours
  • Lectures 0
  • Skill level All levels
  • Quizzes 0
  • Pass parcentages 80
  • Certificate No
  • User Avatar

    Alice Kamau

  • Category:

    Business & Management & Creative Arts & Media & Science & Technology

KSh2,000.00
  • 0 enrolled students
  • English

Usually, tidy data is a mirage in a real-world setting. Additionally, before quality analysis can be done, data need to […]

Prepare, Clean, Transform, and Load Data using Power BI

Usually, tidy data is a mirage in a real-world setting. Additionally, before quality analysis can be done, data need to be in a proper format. This project-based course, “Prepare, Clean, Transform, and Load Data using Power BI” is for beginner and intermediate Power BI users willing to advance their knowledge and skills. In this course, you will learn practical ways for data cleaning and transformation using Power BI. We will talk about different data cleaning and transformation tasks like splitting, renaming, adding, removing columns. By the end of this 2-hour-long project, you will change data types, merge and append data sets. By extension, you will learn how to import data from the web and unpivot data. This project-based course is a beginner to an intermediate-level course in Power BI. Therefore, to get the most of this project, it is essential to have a basic understanding of using a computer before you take this project.

In this Guided Project, you will:

  • Prepare and Clean Data using Power BI
  • Transform and Load Data using Power BI

2 hours

Beginner

No download needed

Split-screen video

English

Desktop only

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Split and rename columns
  2. Add Columns
  3. Remove Columns and Change data types
  4. Merge data
  5. Append data
  6. Unpivot data

 

Note: This is part of the larger overall course Data Analyst. To complete it fully, you will need to complete all of the following courses:

Note: This is part of the larger overall course Digital Marketer. To complete it fully, you will need to complete all of the following courses:

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