Foundations Of Data Science

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Using R Studio, students will discover several data visualization and graphing techniques, learn how to explore and analyze data using various methods, mine X (Twitter) for sentiment analysis, and gain practice using interactive shiny apps. At the end of this course, students will be much better prepared to turn data into insights.

Course Details

Dr. Josh Vandenbrink brings his interactive, skills-based, fun approach to this Praxis Foundations of Data Science course. Using R Studio, students will discover several data visualization and graphing techniques, learn how to explore and analyze data using various methods, mine Twitter for sentiment analysis, and gain practice using interactive shiny apps. At the end of this course, each student will be much better prepared for a life awash in data.

Students will explore how R impacts data science and learn to create stunning visual representations of data. Using AI learning resources and labs, they we will learn to mine their own data from social media networks such as Twitter and Facebook, to perform sentiment analysis of public health topics. In addition, students will learn advanced techniques for reproducible research, which will allow them to create apps of the work they have conducted throughout the class. These apps will allow end-users to manipulate data and change how it is presented. Qualifies for the Foundations of Data Science digital badge.

Here is the course outline with more details and learning outcomes for each module

Course Outline

Journey Architecture

Skills and Resources

Digital Credential

Earners of the Foundations of Data Science credential have successfully demonstrated experiential skills in the creation of polished data products through advanced data visualization techniques. The Foundations of Data Science badge requires 50+ hours of hands-on activities and labs across 10+ skills in data science. The Foundations of Data Science credential was built in collaboration with data science expert Dr. Josh Vandenbrink.

Following is summary of the earning criteria for the Foundations of Data Science digital credential:

Complete 15+ hands-on data science labs using R Studio and live computing systems
AND – Complete all required learning resources in the Foundations of Data Science online journey – 80+ lessons – including, videos, articles, activities, and discussion posts
AND – Pass short assessments (80% or better) in all lessons
AND – Participate in weekly virtual collaboration sessions with instructor(s), mentor(s), and peers
AND – Conduct original Data Science research using the skills, resources, and tools within the Foundations of Data Science journey
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