Wolfram Blog
Jamie Peterson

Applying Multiparadigm Data Science: New Wolfram U Course

July 19, 2019 — Jamie Peterson, Technical Programs Manager, Wolfram U

Wolfram U’s latest interactive course, Multiparadigm Data Science, gives a comprehensive overview of Multiparadigm Data Science (MPDS) through a series of videos, quizzes and live computations, all running from the Wolfram Cloud. Using real-world examples, this free course provides an introduction to MPDS, strategies for improving your process and building your ideal toolkit, and the Wolfram Language functionality that makes it easy to implement.

Multiparadigm Data Science in Wolfram U

Why MPDS?

Modern data scientists are often self-limited by their choice of methods and technology: traditional statistical tools with specific uses that only apply to numerical data. This outmoded process provides answers to only a small subset of possible questions. MPDS turns this approach around, starting with key questions and broadly exploring with different methods and data types. The exploration process is then automated, giving you the freedom to iterate on new questions and find better answers more quickly.

MPDS with Wolfram technology brings a variety of sophisticated algorithms and interfaces to bear on your data, increasing the scope and accuracy of your analytics while also streamlining development, collaboration and publishing. We remove the constraints of standard workflows by offering the full range of analyses, visualizations and deployment targets. This leads to unique, actionable insights that can be shared across organizations.

Course Outline and Certification

Like all interactive courses from Wolfram U, the MPDS course provides a variety of resources that run on our cloud and notebook technology. It includes 21 videos ranging in length from 3 to 12 minutes, each with a transcript and a course notebook with copyable code. A scratch notebook is also provided for trying out code and taking notes as you go. The course is split into 5 sections: an introduction to the MPDS workflow, followed by detailed examination of the various stages.

Throughout the course, you’ll find out how you can use the Wolfram Language to:

  • Build an end-to-end data science workflow
  • Wrangle and clean different types of data
  • Assemble a multiparadigm toolkit for analysis and visualization
  • Examine and combine data from multiple sources
  • Perform visual exploratory data analysis
  • Communicate results effectively with a variety of visualizations and interactive interfaces

Each section (excluding the introduction) ends with a quiz to test your knowledge and encourages you to learn more about the relevant Wolfram Language functionality through our extensive Documentation Center. You can watch the lecture videos, take the quizzes and track your progress toward certification in the course certificate window. After watching all 21 videos and completing the four quizzes, you’ll receive a personalized downloadable course certificate.

We are also working on two further levels of certification, available to those who work through course exercises associated with each lecture video and complete an MPDS project from a list of topics to be graded by one of our experts. These advanced certifications will be available in the near future, so stay tuned!

Take the Course Now

This Wolfram U course is completely free and open; all you need to get started is a Wolfram ID and a browser. With our bite-sized modules, convenient navigation tools and progress tracking, you can learn at your own pace. So embrace the multiparadigm approach today for a more flexible, integrated workflow—giving you real, quantifiable answers to data science problems too complex for traditional methods.

Take the interactive MPDS course now to streamline your data science workflow, or check out our Data Science & Statistics page for the latest Wolfram U events and courses.

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One Comment


nithya

Thank you for the free data science course which has a multiparadigm approach. The certification post completing the course is very valuable for students applying for entry level data science courses.

Posted by nithya    August 4, 2019 at 10:41 am


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