Statistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of addressing almost every statistical inference p
DurationStatistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of addressing almost every statistical inference problem.
In this course, you will learn the most commonly-used (roughly 100) functions and operators from the R Base Package, which serves as the fundamental tools for accessing data from multiple sources, manipulating different types of R objects, performing character manipulation, and generating reports. Furthermore, you will also learn how to write your own functions by using different types of control structures.
At UC San Diego Division of Extended Studies, we believe great social and economic prosperity comes from integrating the collective knowledge of the university, community leaders and professionals. Division of Extended Studies strives to combine local impact with national reputation and global reach.
Data science is huge, and the ability to tackle analysis problems in a highly specialized and fast language will help people who are not engineers approach the topic.
This class is an intensive introduction to R. It starts with the very basics of assigning variables and reading data. It then progresses to using RMarkdown for document and presentation creation.
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data.
In this course, you’ll use advanced modeling techniques to predict, classify and group data. You’ll use more advanced techniques to help you understand both inferential and predictive approaches.
The R Programming Introduction course will help students learn how to perform data analysis with the R language and software environment, even if they have little to no programming experience.
About Coursetakers.com
Coursetakers.com is more than a decade old course aggregator and Online course platform that helps students find courses and compare course prices from Training providers in the USA, by just submitting their inquiry through the website. Coursetakers also helps Institutes, Universities and Online Instructors market their courses, gain leads and get more students to enroll into their courses.
© 2024 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy
Online
USA
UK
India
UAE
South Africa
Canada
New Zealand
Australia
Malaysia
Singapore