Livelessons R Programming 2nd Edition

Livelessons R Programming 2nd Edition

Added Date: January 06, 2019

Downloads: 1638


Livelessons R Programming 2nd Edition / Specification

Manufacturer: Lividelons Layouts
Language Of Instruction:English
Teacher: Jared P. Lander
Educational Level:Elementary, Secondary
Training Time:15 Hours + 11 Minutes
Size:14200 MB
Release Date:23:21|2019.01.05
Score: 2.5 Star(s)

Livelessons R Programming 2nd Edition / Screenshots

Livelessons R Programming 2nd Edition
Livelessons R Programming 2nd Edition
Livelessons R Programming 2nd Edition
Livelessons R Programming 2nd Edition
Livelessons R Programming 2nd Edition

Livelessons R Programming 2nd Edition / Description

This 15-hour video teaches you how to program in R even if you are unfamiliar with statistical techniques. It starts with the basics of using R and progresses into data manipulation and model building. Users learn through hands-on practice with the code and techniques. New material covers chaining commands, faster data manipulation, new ways to read rectangular data into R, testing code, and the hot package Shiny.

Based on a course on R and Big Data taught by the author at Columbia
Designed from the ground up to help viewers quickly overcome R’s learning curve
Packed with hands-on practice opportunities and realistic, downloadable code examples
Presented by an author with unsurpassed experience teaching statistical programming and modeling to novices
For every potential R user: programmers, data scientists, DBAs, marketers, quants, scientists, policymakers, and many others
About the Instructor

Jared P. Lander is the Chief Data Scientist of Lander Analytics, the organizer of the New York Open Statistical Programming Meetup (formerly the R Meetup) and an adjunct professor of Statistics at Columbia University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. He specializes in data management, multilevel models, machine learning, generalized linear models, data management, visualization, and statistical computing. He is the author of R for Everyone, a book about R Programming geared toward data scientists and non-statisticians alike. Very active in the data community, Jared is a frequent speaker at conferences, universities, and meetups around the world. He is a member of the Strata New York selection committee.

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