R for Data Science Solutions [Video]

R for Data Science Solutions [Video]

Yu-Wei, Chiu (David Chiu)

Over 100 hands-on tasks to help you effectively solve real-world data problems using the most popular R packages and techniques
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Video Details

ISBN 13 9781787129122
Course Length 5 hours 32 minutes

Table of Contents

Video Description

R is a data analysis software as well as a programming language. Data scientists, statisticians and analysts use R for statistical analysis, data visualization and predictive modeling. R is open source and allows integration with other applications and systems. Compared to other data analysis platforms, R has an extensive set of data products. Problems faced with data are cleared with R’s excellent data visualization feature.

The first section in this course deals with how to create R functions to avoid the unnecessary duplication of code. You will learn how to prepare, process, and perform sophisticated ETL for heterogeneous data sources with R packages. An example of data manipulation is provided, illustrating how to use the ‘dplyr’ and ‘data.table’ packages to efficiently process larger data structures. We also focus on ‘ggplot2’ and show you how to create advanced figures for data exploration.

In addition, you will learn how to build an interactive report using the “ggvis” package. Later sections offer insight into time series analysis, while there is 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 will understand how to resolve issues and will be able to comfortably offer solutions to problems encountered while performing data analysis.

Style and Approach

This collection of independent videos offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently.

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What You Will Learn

  • Get to know the functional characteristics of R language
  • 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
  • Create professional data visualizations and interactive reports
  • Predict user purchase behavior by adopting a classification approach
  • Implement data mining techniques to discover items that are frequently purchased together
  • Group similar text documents by using various clustering methods

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Table of Contents

Video Details

ISBN 139781787129122
Course Length5 hours 32 minutes
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