R Programming and Statistical Analysis

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.

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Is this for you?

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.

Award and Associated Qualifications

Awarded 40 CPD points upon successful completion

Start Date

Flexible

Study Type

In centre, online, or a combination

Training Type

course

Duration

40 hours

Pitman Training Course Enquiry

For further information and pricing please fill in your details below and we will get back to you as soon as we can. Or, call the team on 0161 907 6724.

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About this course

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.

Course Content

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

Aims and Objectives

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.

Pre-Requisites

Strong critical-thinking and problem-solving skills, a strong background in mathematics (e.g., advanced algebra), and some experience with coding.

Finance Options

Wherever possible our training is tailored to your needs. The cost of our training programmes depend on the course(s) you choose and varies according to duration and breadth. Rest assured we have a number of payment options available to ensure the cost of training is affordable and can be worked alongside your other financial commitments. Common ways people fund their training include: - 

 

Self-Funded: 

  • Flexible payment plans to help you spread the cost* available at many of our centres;
  • You could opt to pay upfront.

 

 

Company Funded:

Requesting funding from your employers needn’t be a daunting task. Many employers support and encourage their employees with their professional development and consider it a worthwhile investment to fund any training required.

What we can help with:

  • Providing a comprehensive training programme outlining learning outcomes
  • Tailored personnel letters
  • Communication with finance departments to arrange payment options (upfront or payment plan*).

 

Funding & Grants:

There may be the opportunity to apply for funded grants that can help towards the cost of training. These include the Skills Development Scotland ITAs and the ReAct programme in Wales. All schemes will have different terms and conditions that will need to be met in order to qualify for a grant and these are managed by each individual centre.

We’d recommend you speak to a Course Advisor in your local centre to find out whether they are registered to offer any such schemes and discuss your requirements further.

 

* Terms and Conditions apply. Speak to a Course Advisor for full information on the options available to you.

 

 

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.

Additional Information

R Programming and Statistical Analysis Course Training Centres

East Anglia

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Cambridge
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Bromley
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Central and West london
Pitman Training London Central and West, 3rd Floor, 4/4A Bloomsbury Way, Bloomsbury Square, London WC1A 2RP
Clapham
Pitman Training Clapham, 2nd Floor, Polygon House, 18-20 Bromells Road, London - Clapham, SW4 0BG
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2 Lansdowne Road, Croydon CR9 2ER
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