Practical Data Science using R

Robert Gordon University

United Kingdom, Aberdeen

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932

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Robert Gordon University

United Kingdom , Aberdeen

Key Facts

Program Level

Certificate

Study Type

Full Time

Delivery

On Campus

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake Deadlines19-Sep-2022

Apply to this program

Go to the official application for the university

Duration 2 day(s)

Tuition Fee

GBP 880

Next Intake 19-Sep-2022

Practical Data Science using R

About

This short course has been specifically designed for professionals who wish to build strong analytical skills to process and manipulate different types of data. By attending this course, you will be able to develop strong practical analytical skills, which will enable you to transform data into knowledge that can inform your business practices.

R is an open-source programming language for statistics, data analysis and visualisation. It consists of an extensive set of packages that provide functionality for almost every single data-related task (i.e. load data from excel sheets, collecting data from Social Media sites, finding hidden patterns in data, visualising trends, detecting outliers, and so on). R provides simple and easy-to use packages for advanced and mathematically complex machine learning and data mining models and is considered as one of the most powerful tools in Data Science and Analytics.

Session 1

Introduction to R and RStudio and Data Exploration

An overview of R and RSTudio, and learn how to load, process and explore different datasets. You will learn how to explore data by means of simple summary statistics, linear regression models and basic visualisation techniques (i.e. Histograms, Box plots, and others).

Session 2

Data manipulation and Visualisation

You will learn how to manipulate, aggregate and summarise data using the most popular packages in â€˜Râ€™ such dplyer. You will learn how to handle missing values, redundant features, reshape your datasets and others to prepare it for further analytics. You will learn to tell the story of large and complex datasets visually using the R package â€˜ggplot2â€™

Session 3

Data Modelling

Build and evaluate different state-of-the-art machine learning algorithms using real-life datasets (SVM, Random Forest â€¦). You will learn the underlying concepts of these models in a very practical way. You will then be able to apply these models to real datasets, evaluate and communicate the results in visual form.

Session 4

Interactive Reports

An overview of markdown in â€˜Râ€™. You will learn how to produce an interactive reproducible results that communicate the workflow in an easy-to interpret reproducible format.

Learning Methods

The key concepts will be delivered via short lectures to give you the opportunity to spend most of the time applying your learning via hands-on interactive labs.

Staff delivering this course

Dr Eyad Elyan is a Senior Lecture in the School of Computingand the course leader of the MSc Data Science. Dr Elyan has strong background and research interest in Advanced Machine Learning and Data Analytics, and had led several projects with industrial partners and public funding bodies (i.e. Innovate UK, OGIC, Data Lab, Historic Environment) to successful completion.

Requirements

Entry Requirements

Applications will be considered on a case by case basis, please contact Admissions for information: [email protected]
Applicants who do not hold an International High School qualification will be expected to undertake a pathway programme at our International College

English Program Requirements

Most undergraduate courses require an IELTS score of 6.0, with a minimum of 5.5 in each area. Some courses require a higher English language score. Always check the relevant course page and our English Language Requirements page before applying.

Fee Information

Tuition Fee

GBP 880

How to Apply

Completing an existing course (for example passing your Bachelors before coming to do a Masters with us). Please upload your degree documents to your Apply Yourself record or email the Admissions Office with these.
Proving that your English language is good enough for University-level study. In this case you should send us a copy of your IELTS or TOEFL certificate as soon as it is available. Please upload these documents to your Apply Yourself record or email the Admissions Office with these.
Making a pre-payment (deposit) for international students. In this case you must arrange to pay the University before we can release an Unconditional Offer. To find out how to do this, please visit the Making Payment page.