Coupon & course info
Course Name: Practical Data Science: Reducing High Dimensional Data in R
Subtitle: In this R course, we’ll see how PCA can reduce a 5000+ variable data set into 10 variables and barely lose accuracy!
Instructor: Taught by Manuel Amunategui, Data Scientist & Quantitative Developer
Subcategory: Programming Languages
Provided by: Udemy
Price: $25 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of March 4, 2016…
Students: 891 students enrolled
Ratings: 110 reviews
Rank: ranked #622 in Udemy Development Courses
Brief course description
In this R course, we’ll see how PCA can reduce a 5000+ variable data set down to 10 variables and barely lose accuracy! We’ll look at different ways of measuring PCA’s effectiveness and other ways of reducing wide data sets (those with lots of features/variables). We’ll also look at the advantages and disadvantages with different ways of reducing data.
(Read more about this course on the official course page.)
Manuel Amunategui bio
I am data scientist in the healthcare industry. I have been applying machine learning and predictive analytics to better patients lives for the past 3 years. Prior to that I was a developer on a trading desk on Wall Street for 6 years. On the personal side, I love data science competitions and hackathons – people often ask me how can one break into this field, to which I reply: ‘join an online competition!’
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: All Levels
Lectures: 11 lessons
Duration: 2.5 Hours of video
What you get: Understand various ways of reducing wide data sets
Target audience: Some understanding and interest in the R programming language
Requirements: Some understanding and interest in the R programming language
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons