Data Mining with R Training in South Africa

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

With the advent of big data, there is an increased focus on data mining and 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. Learn how to use R basics, working with data frames, data reshaping, basic statistics, graphing, linear models, non-linear models, clustering, and model diagnostics.

There are no prerequisites for this course.

Anyone interested in learning to use data mining techniques to find insights in data and who has at least some statistical and programming experience. 

  • How to configure the RStudio environment and load R packages
  • How to use R basics such as basic math, data types, vectors, and calling functions
  • How to use advanced data structures such as data frames, lists, and matrices
  • How to use R base graphics
  • How to use R basic statistics, correlation, and covariance
  • How to use linear models such as simple linear regression, logistic regression
  • How to use non-linear models such as decision trees and Random Forests
  • How to apply clustering using K-means
  • How to complete model diagnostics

Modules:

  • Introduction to RStudio
  • R Basics
  • Introduction to Data Mining in R
  • Classification and Clustering Models in R
  • Summary

Module 1 Overview

  • What is R?
  • What is RStudio?
  • Why use RStudio?
  • Navigating RStudio
  • What are packages?
  • How to install packages
  • Hands-on Exercises

Module 2 Overview

  • R Math
  • Data Types
  • Working with Data
  • Loading Data
  • Writing Data
  • Data Structures
  • Hands-on Exercises

Module 3 Overview

  • Overview of Data Mining and Data Science
  • Exploratory Data Analysis
  • Base Graphics in R
  • Linear Regression
  • Logistic Regression
  • Hands-on Exercises

Module 4 Overview

  • Decision Trees
  • Clustering
  • Model Diagnostics
  • Hands-on Exercises

Module 5 – Summary

  • Skills Review


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our South Africa facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
06 November 2024
Cape Town, Durban, Johannesburg
1 Day
Classroom / Virtual Classroom
06 November 2024
Cape Town, Durban, Johannesburg
1 Day
Classroom / Virtual Classroom
09 November 2024
Cape Town, Durban, Johannesburg
1 Day
Classroom / Virtual Classroom
09 November 2024
Cape Town, Durban, Johannesburg
1 Day
Classroom / Virtual Classroom
12 November 2024
Cape Town, Durban, Johannesburg
1 Day
Classroom / Virtual Classroom
14 November 2024
Cape Town, Durban, Johannesburg
1 Day
Classroom / Virtual Classroom
12 November 2024
Cape Town, Durban, Johannesburg
1 Day
Classroom / Virtual Classroom
16 November 2024
Cape Town, Durban, Johannesburg
1 Day
Data Mining with R Training Course in South Africa

Formerly known as Union of South Africa, now officially known as Republic of South Africa is the Southernmost country in Africa. South Africa's population is over 60 million people, which makes the country the world's 23rd-most populous nation. South Africa has three capital cities: executive Pretoria, judicial Bloemfontein and legislative Cape Town, while the largest city is Johannesburg. The official languages of South Africa are Afrikaans, English, Ndebele, Pedi, Sotho, Swati, Tsonga, Tswana, Venda, Xhosa and Zulu.

South Africa can be rainy from November to February, so the best time to visit South Africa is from May to September. Despite the rainy season South Africa is a year-round destination, with varying regional climates. Blyde River Canyon, Durban, Drakensberg, Kruger National Park and of course, Cape Town are the tourist attractions of the country.

Expand your IT knowledge with our comprehensive range of courses, including programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our skilled instructors will facilitate hands-on training and share practical insights, all conveniently conducted at your preferred location within South Africa.
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