DataCamp

Data Visualization in Excel

Engineering and Technology

Short Description

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

Long Description

In this course, you will gain a comprehensive understanding of building basic Excel charts. You will learn how to create impactful visualizations and customize chart types, allowing you to transform data into compelling narratives that resonate with your audience. Once you have mastered the basics, we will advance to more complex charts, such as dual series, Bullet charts, Waterfall charts, and Scatter plots. You will also explore various chart editing options to further enhance your charting skills. Data visualization best practices will be a key focus of this course. You will learn the dos and don'ts of data visualization, including selecting chart elements, applying colors, legends, and labels. Additionally, you will learn how to troubleshoot and customize poorly designed visuals for the benefit of end users. Finally, we will delve into the world of visualizing disaggregated data using PivotTables and PivotCharts. You will learn how to combine these tools to create dynamic mini-dashboards, unlocking the true power of your data. Join us on this exciting journey and take your data visualization skills to the next level!

Course Details

Duration
3 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.