R Programming in Data Science: High Variety Data
With Mark Niemann-Ross
Liked by 380 users
Duration: 1h 27m
Skill level: Intermediate
Released: 12/4/2018
Course details
In a perfect world, every dataset would be stored as XML text with context for every piece of information. Numbers would never be stored as strings. Decimal values would never be stored as scientific notation. Strings would never be longer than 500 characters. But obviously, we don't live in a perfect world of data. And big data only makes this issue, well, bigger. This is the problem of variety; data arriving in multiple formats. Data scientists spend an inordinate amount of time with this problem, using brain power that would be better spent on valuable analysis tasks. In this course, Mark Niemann-Ross introduces the problem of data variety and demonstrates how to use the unique capabilities of R to solve them. Learn how to import a wide variety of data, from Excel to ODS files.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
Download courses
Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.