We're excited to be expanding our range of certified courses on Wolfram U to include what we consider to be the critical skill of the twenty-first century and beyond: Computational Thinking.
What's in the new Computational Thinking courses
Wolfram's Computational Thinking Process (CTP) is a problem-solving framework that starts with real-world problems and works back to relevant concepts and then tools. The focus is on thinking, including conceptualizing the problem and validating the solution. Computational thinking empowers people to have more awareness, understanding and control over the information and data that power our modern physical, social, intellectual and cultural worlds.
Beyond mathematics, statistics, data science or programming—although those skills have significant roles within computational thinking[LongDash]our new courses will demonstrate how and when to use everyday computational tools to explore problems and develop solutions.
These skills are essential for everyone from students writing their first assignment to a manager of an FTSE 100 company looking to improve their team's productivity—using the data available to fully assess and understand a situation to make effective decisions is a key skill in the AI age.
The benefits of certification
While these skills are important now, they're becoming even more essential every day, but the world has been slow to react. Beyond basic statistics and coding lessons, people leaving school do not have the computational thinking skills required in the real world.
Wolfram-certified Computational Thinking courses provide an easy way to learn these necessary skills and display that proficiency to employers, professors, clients and other connections.
After learning the materials and passing the assessment, it's easy for learners to add the certification to a LinkedIn profile and stand out from the crowd.
Our range of Computational Thinking courses
In our first set of Computational Thinking courses, we have four interactive, self-study modules. Each one is designed to focus on specific computational thinking skills, such as dealing with messy real-world data, mitigating bias and presenting data.
How Happy Are People in My Country?
How can you measure things like emotion, pain and literacy? Dealing with subjective data like this is a key part of data science in the real world; find out how it's done in this short interactive course.
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Cause or Correlation?
"People who took this course earn more in the future!" Learn to be wary of media claims of how one thing causes another and have fun finding your own odd correlations.
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Does Gender Help with Your Maths Score?
Comparing two datasets is a first step in any data science course. In this short course, you will analyze local and national datasets and find out how to present your findings.
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Can I Spot a Cheat?
Using real data, how do you define when to raise the alarm for possible fraud or bias? How do insurance or credit card companies know when to investigate further?
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We're pleased to be able to offer these new pathways to real academic and professional growth and hope you enjoy getting your Computational Thinking certifications!
