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R Programming

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Course Report - R Programming

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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

Automatic parameter tuning

Automatically generate reports and slideshows

Basic math

Basic statistics

Bayesian regression using Stan

Bootstrap

Build R packages

Build Shiny dashboards

Clustering

Data aggregation and manipulation

Decision trees

Display data with popular JavaScript libraries

Generalized linear models

Incorporate C++ for faster code

Installing R

Linear models

Making statistical graphs

Manipulate text

Matrix algebra

Model validation

Network analysis

Random forests

Reading data

Time series analysis

Working with variables and different data types

dataframes

dplyr

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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

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