R Programming and Statistical Analysis
Choice of flexible campus or online study.
Pitman Training Essex and Suffolk
Summary
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Location & dates
12 Northgate Street
IPSWICH
Suffolk
IP13DB
United Kingdom
2 St Johns Court, Moulsham Street
CHELMSFORD
Essex
CM20JD
United Kingdom
Overview
In this course, you’ll learn the fundamental tools and packages to manipulate, organise, analyse, and visualise data using the R programming language in the RStudio developer environment.
This course is for those who are interested in learning the R programming language for the purposes of data manipulation, statistical computing, and graphical display of data.
CPD
Description
The course includes a series of video lectures combined with a variety of conceptual and hands-on activities to help you develop skills in manipulating and analysing data, interpreting results, and visualising your data effectively.
R is widely recognised as a powerful programming language and environment for data manipulation, statistical computing, and graphical display. R provides a variety of tools and techniques and is easily extensible.
It’s an open-source programming language and a vital tool for data wrangling and analysis. R also includes a robust data handling and storage facility, as well as an extensive, integrated collection of tools for data analysis and graphical display.
You’ll explore all of this and more as you work through the three modules of the course and test your understanding with the knowledge tests at the end of each section.
Module 1: R Programming for Beginners
- Getting Started with R;
- Exploring R Vectors;
- Leveraging R with Matrices, Arrays, and Lists;
- Understanding Data Frames, Factors, and Strings
Module 2: Datasets in R
- Loading and Saving Data;
- Transforming Data;
- Selecting, Filtering, Ordering, and Grouping Data;
- Joining and Visualising Data
Module 3: Statistical Analysis and Modelling in R
- Working with Probability Distributions;
- Understanding and Interpreting Statistical Tests;
- Statistical Analysis on Your Data;
- Performing Regression Analysis
Who is this course for?
The aim of the course is for you to develop a strong foundation in the R programming language that you can put to effective use in the field of data analysis.
Requirements
Strong critical-thinking and problem-solving skills, a strong background in mathematics (e.g., advanced algebra), and some experience with coding.
Career path
To become an effective data analyst, you’ll need several programming languages in your toolkit. R is among the most sought-after skills among data analysts.
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This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
