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R Programming

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Course Report - R Programming

Course Report

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Course Features

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Duration

15.11 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

15.11 hours

Course Description

R Programming LiveLessons 2nd Edition This is a tour through R, the statistical programming language. It covers everything from the basics to the more complex modeling. It covers programming basics, reading data, visualization, data munging and clustering, modern machine-learning, network analysis, web graphics and techniques for dealing large amounts of data in memory and databases. This video is 15 hours long and teaches you how you can program in R, even if statistical techniques are not your first language. It begins with the basics of R and moves on to data manipulation and model-building. Through hands-on practice, users learn the code and techniques. Chaining commands, faster data manipulations, new ways of reading rectangular data into R, testing code and Shiny are some of the new material.
Based on a Columbia course on R and Big Data that was taught by the author

  • This video was designed from the ground up to help viewers quickly get over R's learning curve
  • It is packed with practical, downloadable examples of code and practice opportunities
  • This presentation is by an author who has unsurpassed experience teaching modeling and statistical programming to novices
  • For all potential R users: programmers, data scientist, DBAs and marketers. Quants, scientists, policymakers and many other.

Course Overview

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Basic Programming Skills

What You Will Learn

Installing R

Basic math

Working with variables and different data types

Matrix algebra

dataframes

Reading data

Data aggregation and manipulation

plyr

dplyr

Making statistical graphs

Manipulate text

Automatically generate reports and slideshows

Display data with popular JavaScript libraries

Build Shiny dashboards

Build R packages

Incorporate C++ for faster code

Basic statistics

Linear models

Generalized linear models

Model validation

Decision trees

Random forests

Bootstrap

Time series analysis

Clustering

Network analysis

Automatic parameter tuning

Bayesian regression using Stan

Target Students

Addison-Wesley’s professional titles specialise in the area of computer programming

It is a leading publisher of high-quality and timely information for programmers, developers, engineers, and system administrators

Our mission is to provide educational materials about new technologies and new approaches to current technologies written by the leading authorities

Course Instructors

Jared P. Lander

Instructor

Jared P. Lander is the instructor for this course

Course Reviews

Average Rating Based on 2 reviews

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