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Data Mining in R
Data Mining in R - online training course
 
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3-hour 30-min Online Course by Deanne Larson
Single-user access license
Our Price: $345.00
Sale Price: $295.00


Product Code: BA-03-A


Course Exam [Add $100.00]
Description Course Outline Exam Details
 

With increasing interest in big data, the topic and skills of data mining get new attention, including strong interest in the value that can be derived from large data sets. Data mining is the process of selecting, exploring, and modeling large amounts of data to uncover previously unknown information for business benefit.

R is an open source software environment for statistical computing and graphics and is very popular with data scientists. R is being used for data analysis, extracting and transforming data, fitting models, drawing inferences, making predictions, plotting, and reporting results. This online training course will show you how to use R basics, work with data frames, data reshaping, basic statistics, graphing, linear models, non-linear models, clustering, and model diagnostics.

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You will learn:
  • R basics such as basic math, data types, vectors, and calling functions
  • Advanced data structures such as data frames, lists, and matrices
  • R base graphics
  • R basic statistics, correlation, and covariance
  • Linear models such as decision trees and random forests
  • To apply clustering using K-means
  • Model diagnostics
This course is geared towards:
  • Data analysis and business analytics professionals
  • Anyone interested to learn data mining techniques to find insights in data, and who has some statistical and programming experience

Average Customer Review: Average Customer Review: 4.5 of 5 4.5 of 5 Total Reviews: 3 Write a review.

  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 10/24/2019 January 6, 2024
Reviewer: Reabetswe Moepi  
I liked how it was organized, delivered and how detailed it was. All the material covered were very useful and easy to follow through and attempt. So far, no changes are required, all seemed to be fine.

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  0 of 0 people found the following review helpful:
 
4 of 5 Course Review from 10/21/2019 January 5, 2024
Reviewer: Machabane Boshego  
On the video, the slides has some spots that covers the content of the slides.

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  1 of 1 people found the following review helpful:
 
4 of 5 Course Review from 10/23/2018 January 3, 2024
Reviewer: Lukasz Rychwalski  
The course is organized in a nice and structured way. Examples are interesting and show how R and statistics can be used for discovering insights. The examples and materials inspired me to use some of the methods in my work.

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