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R: Complete Data Analysis Solutions

Packt Publishing

Summary

Price
£105.06 inc VAT
Or £35.02/mo. for 3 months...
Study method
Online
Duration
7 hours · Self-paced
Qualification
No formal qualification

Overview

The R language is a powerful open source functional programming language. R is becoming the go-to tool for data scientists and analysts. Its growing popularity is due to its open source nature and extensive development community.

This course has been designed to include topics on every possible requirement from a data scientist and it does so in a step-by-step and practical manner.

We will start off with learning how to prepare, process, and perform sophisticated ETL for heterogeneous data sources with R packages. An example of data manipulation will be provided, illustrating how to use the “dplyr” and “data.table” packages to efficiently process larger data structures. We will then understand how easily R can confront probability and statistics problems and look at R instructions to quickly organize and manipulate large datasets. We will then learn to predict user purchase behavior by adopting a classification approach and implement data mining techniques to discover items that are frequently purchased together. Finally, we will offer insight into time series analysis on financial data, after which there will be detailed information on the hot topic of machine learning, including data classification, regression, clustering, association rule mining, and dimension reduction.

By the end of this course, you should be able to solve real-world data analysis challenges using R.

Description

What am I going to get from this course?

  • Extract, transform, and load data from heterogeneous sources
  • Understand how easily R can confront probability and statistics problems
  • Get simple R instructions to quickly organize and manipulate large datasets
  • Learn how to extract actionable information from social network data
  • Delve in depth into text analytics

Style and Approach:

With easy-to-follow practical examples, this course will help you learn each and every aspect of R data analysis. This course covers step-by-step and practical solutions to data analysis using R. It covers every required topic and equips you with all skills required of a data analyst.

This course is a blend of text, videos, code examples, and assessments, all packaged up keeping your journey in mind. The curator of this course has combined some of the best that Packt has to offer in one complete package. It includes content from the following Packt products:

  • R for Data Science Cookbook by Yu-Wei, Chiu (David Chiu)
  • R for Data Science Solutions [Video] by Yu-Wei, Chiu (David Chiu)
  • Mastering R Programming [Video] by Selva Prabhakaran
  • Data Analysis with R by Tony Fischetti
  • R Data Analysis Cookbook by Viswa Viswanathan and Shanthi Viswanathan

Note: This interactive EPUB adheres to the latest specification, and requires that your reader supports video and interactive content. We recommend using Readium with the latest stable version of Google Chrome, or iBooks for OSX.

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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Similar subjects: Big data, R, IT, Coding
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