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Course Information

Data Science with R Training Course Outline

Module 1: Introduction to Data Mining

  • Data Science
  • Knowledge Discovery in Databases (KDD)
  • Model Types
  • Classification of Data Mining Methods
  • Applications
  • Challenges
  • R Programming Language
  • Basic Concepts, Definitions, and Notations
  • Tool Installation

Module 2: Introduction to R

  • Data Types
  • Basic Tasks
  • Control Structures
  • Functions
  • Scoping Rules
  • Iterated Functions
  • Console and Package Installation

Module 3: Types, Quality, and Data Pre-Processing

  • Categories and Types of Variables
  • Pre-Processing Processes
    • Data Cleansing
    • Data Unification
    • Data Transformation and Discretisation
    • Data Reduction
  • dplyr and tidyr Packages

Module 4: Summary Statistics and Visualisation

  • Measures of Position
  • Measures of Dispersion
  • Visualisation of Qualitative Data
  • Visualisation of Quantitative Data

Module 5: Classification and Prediction

  • Classification
  • Prediction
    • Classification Vs Prediction
    • Linear Regression
    • Learning Parameter
  • Overfitting and Regularisation
    • Overfitting
    • Model Regularisation
    • Linear Regression with Normalisation

Module 6: Clustering

  • Unsupervised Learning
  • Cluster
  • k-Means Algorithm
  • Hierarchical Clustering Algorithms
  • DBSCAN Algorithm

Module 7: Mining of Frequent Itemsets and Association Rules

  • Introduction
  • Apriori Algorithm
  • Frequent Itemsets Types
  • Positive and Negative Border of Frequent Itemsets
  • Association Rules Mining
  • Alternative Methods for Large Itemsets Generation
  • FP-Growth Algorithm
  • Arules Package

Module 8: Computational Methods for Big Data Analysis

  • Introduction to Hadoop
  • Advantages of Hadoop’s Distributed File System
  • Hadoop Users
  • Hadoop Architecture
  • Hadoop Cluster Architecture
  • Hadoop Java API
  • Lists Loops, Generic Classes, and Methods

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There are no formal prerequisites for attending this Data Science with R Training course.


This course is intended for anyone who wants to learn about the methods of analysing data using the R programming language.

Data Science with R Training​ Course Overview

Data science is the study of vast amounts of data using current methodologies and tools to discover previously unknown patterns, derive valuable information, and make profitable business decisions. R is essential for data science that is commonly used as a data analysis tool and statistical software. R for data science delivers extensive support for data wrangling, statistical modelling, and machine learning techniques to obtain insights. Businesses can monitor, manage, and gather performance metrics with the aid of data science to enhance decision-making throughout the firm. This training session equips learners with R programming that deals with data science to help organisations analyse data and make more informed strategic decisions. Individuals with expertise in Data Science and programming skills will get higher designations that ultimately expand their employment options and raise their income.  

This 2-day Data Science with R Training will provide delegates with a comprehensive knowledge of Data Science and how it works with R. Delegates will become familiar with data pre-processing that ensures the quality of the data by cleaning and transformation. They will also get acquainted with summary statistics that deal with summarised and effective representation of statistical data. This course will deliver by a highly professional and skilled trainer with years of teaching experience, who will make every effort to ensure that delegates apply data science abilities to countless businesses, assisting them in data analysis and better business decisions.

You may apply your data science abilities to a number of businesses, assisting them in data analysis and better business decisions, thanks to this data science with R course.

Course Objectives

  • To create social web pages for storing and managing a vast amount of data
  • To transform raw data into furnished data products by churning raw data
  • To develop new features and normalise data based on the existing ones
  • To analyse and construct insights from the data with data science
  • To collect the data for utilising outcomes on a more practical level
  • To find the data and group the objects with similar attributes

At the end of this training, delegates will be able to transform and visualise information using R programming and attain insights about future events. They will also be able to perform data wrangling and facilitate different functions for DataFrame using the dplyr package

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  • Delegate pack consisting of course notes and exercises
  • Courseware
  • Experienced Instructor

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Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

This is our most popular style of learning. We run courses in 1200 locations, across 200 countries in one of our hand-picked training venues, providing the all important ‘human touch’ which may be missed in other learning styles.


Highly experienced trainers

All our trainers are highly qualified, have 10+ years of real-world experience and will provide you with an engaging learning experience.


State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible


Small class sizes

We limit our class sizes to promote better discussion and ensuring everyone has a personalized experience


Great value for money

Get more bang for your buck! If you find your chosen course cheaper elsewhere, we’ll match it!

This is the same great training as our classroom learning but carried out at your own business premises. This is the perfect option for larger scale training requirements and means less time away from the office.


Tailored learning experience

Our courses can be adapted to meet your individual project or business requirements regardless of scope.


Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.


Team building opportunity

This gives your team a great opportunity to come together, bond, and discuss, which you may not get in a standard classroom setting.


Monitor employees progress

Keep track of your employees’ progression and performance in your own workspace.

What our customers are saying

Data Science with R Training FAQs


R is essential for data science due to its versatility in the field of statistics, special analysis of data for standalone or distributed computing, and integration with other applications easily.
There are no formal prerequisites for attending this Data Science with R Training course.
This course is intended for anyone who wants to learn about the methods of analysing data using the R programming language.
R programming provides an interface for various databases, extensive support for statistical modelling, aesthetic visualisation tools, and different packages for data wrangling.
R analytics is beneficial for providing profound and accurate insights, leveraging Big Data, democratising analytics across the organisation, and creating interactive data visualisation.
Data pre-processing is a process of mining data used to transform raw data into a valuable and efficient format by cleaning, changing, and reducing.
In this Data Science with R Training course, you will learn about data mining, R programming, data pre-processing, summary statistics, visualisation, classification, prediction, clustering, mining of frequent itemsets, association rules, computational methods for Big Data analysis, and other essential concepts related to the amazing uses of data science with R.
The price for Data Science with R Training certification in the United Kingdom starts from £1995
The Knowledge Academy is the Leading global training provider in the world for Data Science with R Training.

Why choose us


Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.


Many delivery methods

Flexible delivery methods are available depending on your learning style.


High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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