Overview
Chart Creation Techniques
In this Data Visualization in Google Sheets course offered by Data Camp, you'll start by learning how to create various common chart types, including bar charts, histograms, and scatter charts. You'll not only master these basic chart types but also delve into more advanced options such as sparkline and candlestick charts. These tools are essential for effective data presentation, allowing you to convey complex information in an easily digestible visual format. Whether you're analyzing sales data, survey results, or any other kind of numerical data, these charting techniques will be invaluable.
Data Management and Analysis
Data preparation is key in data visualization. This course guides you through the use of Data Validation and VLookup formulas to precisely target specific data for charting. You'll learn how to organize and sift through your data to find the insights you need. Additionally, the course covers the use of Conditional Formatting, a powerful tool in Google Sheets that enables you to apply formats to cells or ranges based on certain criteria. This skill is particularly useful for highlighting key data points, identifying trends, and making your data more readable and impactful.
Dashboard Creation and Real-world Applications
The final part of the course focuses on creating a comprehensive dashboard that combines plots and data. Dashboards are essential for summarizing complex data sets and providing an at-a-glance view of key metrics. You'll apply the skills you've learned by using real-world data sets, such as information from the Olympics, shark attack records, and Marine Technology data from the ASX. This hands-on approach ensures that by the end of the course, you'll not only understand the theory behind data visualization but also have practical experience in applying these techniques in real-world scenarios.
Programme Structure
Chapters include:
- Business Intelligence and Using Dashboards
- Dashboard Controls
- Conditional Formatting
- Efficient Column Charts
- Other Charts for Your Dashboard
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 463 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites
- Intermediate Google Sheets
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This course can be accessed for free with the Data Camp Premium or Teams subscriptions