Data Literacy
Train your teams on data literacy, and teach them how to understand, create, and communicate data as information with this course.
- Data Literacy
Course overview
There are around 7,000 spoken languages in the world right now. According to research, the average person speaks just 1.5 of them. How about you? You might speak English, Spanish, Chinese, or French. But do you speak data? Of course not. You can’t speak data, but you can be data literate.
Data literacy is the ability to work with data, understand it, and turn it into information. And that’s important, because data can be an incredibly powerful tool. For any business it can mean the difference between success and failure. With so much focus placed on using data in the modern workplace, data literacy is a vital skill to possess.
What’s covered
- What data literacy is
- How to recognize the impacts of data illiteracy
- How to create and communicate data as information
Why your teams need this course
Anyone who handles data of any kind needs to know how to read, understand, use, and communicate it. This course will describe all you need to know about data literacy, explain how illiteracy can affect you, and show you how to create and communicate data more effectively.
Accredited by CPD
TalentLibrary is recognized as reaching the standards and benchmarks required by the Continuing Professional Development (CPD) Certification Service.
The CPD Certification Service is the world’s leading and largest independent accreditation organization for professional development courses across all industry sectors.
Other courses in this collection
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Train your employees on determining the best analysis method, describing qualitative data collection, and analyzing qualitative data.
Descriptive and Exploratory Data Analysis Techniques
Train your teams on the descriptive and exploratory data analysis techniques. Show them what they’re used for with this online course.
Methods of Analyzing Qualitative & Quantitative Data
Train your teams on qualitative and quantitative analysis methods. Show them the importance of choosing the right method with this course.
