The modern world revolves around the creation and management of data. Making inferences from the vast amounts of data produced on a daily basis can certainly be a challenge. Thankfully, there are plenty of ways to make it easier to wrangle data into digestible and actionable visualizations. LinkedIn Learning offers a plethora of learning paths and courses to help hone your skills in data processing and visualization. Here are a few examples!
Data Science Foundations: Fundamentals
This course provides an accessible, non-technical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science. Instructor Barton Poulson defines the relationships to other data-saturated fields such as machine learning and artificial intelligence.
Click here to view the course.Master Python for Data Science
Quickly learn the general programming principles and methods for Python, and then begin applying that knowledge to using Python in data science-related development.
Click here to view the course.Master R for Data Science
Learn the most popular data-science-specific language: R! This learning path provides a strong foundation of skills and knowledge on which to build your coding resume.
Click here to view the course.Tableau for Data Scientists
If your work requires any sort of graphical visualization of data, chances are you’ve run into Tableau. If you’ve been using Tableau but want to learn how to really harness its full power for data science, join expert Matt Francis in this course as he shows you how to take your skills to the next level.
Click here to view the course.As always, there are also hundreds more courses for you to take advantage of via LinkedIn Learning! This service is available to all faculty, staff, and students.
