Track
Data Literacy Professional
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Included with PremiumTrack Description
Data Literacy Professional
Prerequisites
There are no prerequisites for this trackCourse
Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.
Course
Data-driven organizations consistently rely on insights to inspire action and drive change.
Course
Data is all around us, which makes data literacy an essential life skill.
Course
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
Course
Learn the key components of building a strong data culture within an organization.
Course
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
Course
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Course
Improve data literacy skills by analyzing remote working policies.
Complete
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FAQs
Is this Track suitable for beginners?
Yes, this Track is suitable for those with no prior knowledge in data literacy. It is designed to help students build their data literacy skills from foundational ideas and explores reading, working with, analyzing, and communicating with data.
What is the programming language of this Track?
This Track does not involve traditional programming. Rather, it focuses on the theory of data literacy and working with datasets.
Which jobs will benefit from this Track?
This Track is beneficial for any role that involves working with data. From data analysts, to journalists, to product managers, data literacy is an essential skill set required to effectively manipulate large data sets and apply analytical techniques.
How will this Track prepare me for my career?
This Track will provide students with the domain-specific expertise needed to build a successful career with data. You'll become more adept at utilizing the data around you and communicating it to others with data storytelling.
How long does it take to complete this Track?
This Track usually takes 12 hours to complete. It consists of several courses designed to upskill students and help build their data literate expertise.
What's the difference between a skill track and a career track?
A skill track focuses on upskilling students in a particular area such as data literacy, whereas a career track is more focused on teaching students the skills necessary for starting and advancing their career in that specific area.
What topics will I learn in this Track?
Some of the topics this Track covers include Introduction to Statistics, Introduction to Data Literacy, Communicating Data Insights, Introduction to Data, Data Storytelling Concepts, Introduction to Data Culture, Forming Analytical Questions, and Data Literacy Case Study: Remote Working Analysis.
Can I take this Track at my own pace?
Yes, this Track is self-paced. You can spend as long or as little time as you like working through exercises and courses.
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