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Data Science with R

New – Explore R capabilities for data science with numerous individual and cutting-edge recipes in solving data analysis and statistical modeling challenges in this self-paced course.

GK# 7700

Course Overview


R is becoming the go-to tool for data scientists and analysts. The growing popularity of this tool is based on its open source nature and extensive development community. This course will take you on an exciting journey to become an efficient data science practitioner as you thoroughly understand the key concepts of R. Starting from the absolute basics, you will quickly be introduced to programming in R. You will see how to load data into R for analysis, and get a good understanding of how to write R scripts. You will also get to know how to perform some basic analysis of the data. By the end of the course, you will know how data science can be applied in practical conditions.


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What You'll Learn

  • Write R code that can be executed outside RStudio
  • Extract, transform, and load data from heterogeneous sources
  • Perform data cleaning on a dataset
  • Create professional data visualizations and interactive reports
  • Understand how easily R can confront probability and statistics problems
  • 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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On-Demand Outline

Introducing R; Functions in R

Statistical Inference in R

Getting Data into R

Cleaning and Data Manipulation

Visualizing Data with ggplot2

Making Interactive Reports

Time Series Mining with R

Supervised Machine Learning

Unsupervised Machine Learning

Who Should Attend


This course is for anyone who wants to enter the world of data science with the most preferred language R and wants to start dealing with statistics, Big Data and predictive analytics challenges.

Course Delivery

This course is available in the following formats:


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