R Language Training Courses

R Language Training Courses

Local, instructor-led live R (R Language) training courses demonstrate through hands-on practice various aspects of the R language, including the fundamentals of R programmeming, advanced R programmeming and R for Data Analysis and Data Visualization. Our training exercises touch on real-world problems and solutions in areas such as Finance, Banking and Insurance. NobleProg R training courses range from beginner courses to advanced courses and are popular among companies wishing to adopt R for developing Machine Learning and Deep Learning applications.

R training is available as "onsite live training" or "remote live training". The UK onsite live R Language trainings can be carried out locally on customer premises or in NobleProg corporate training centres. Remote live training is carried out by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Testimonials

★★★★★

★★★★★

The flexible and friendly style. Learning exactly what was useful and relevant for me.

Jenny Tickner

Course: Advanced R

I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.

Luke Pontin

Course: Data and Analytics - from the ground up

Learning how to use excel properly.

Torin Mitchell

Course: Data and Analytics - from the ground up

The way the trainer made complex subjects easy to understand.

Adam Drewry

Course: Data and Analytics - from the ground up

Detailed and comprehensive instruction given by experienced and clearly knowledgeable expert on the subject.

Justin Roche

Course: Data and Analytics - from the ground up

Tamil is very knowledgeable and nice person, I have learned from him a lot.

Aleksandra Szubert

Course: Data and Analytics - from the ground up

I liked the first session. Very intensive and quick.

Digital Jersey

Course: Data and Analytics - from the ground up

I mostly liked the patience of Tamil.

Laszlo Maros

Course: Data and Analytics - from the ground up

I really was benefit from the real life practical examples.

Wioleta (Vicky) Celinska-Drozd

Course: Data and Analytics - from the ground up

A lot of knowledge - theoretical and practical.

Anna Alechno

Course: Forecasting with R

I genuinely liked his knowledge and practical examples.

Irina Tulgara

Course: Forecasting with R

Overview and understanding how big the topic is.

British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA

Course: Forecasting with R

Hands on examples were the most helpful.

Sean Kaukas

Course: Introduction to R

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customise the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course: Programming with Big Data in R

I really enjoyed the introduction of new packages.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course: Programming with Big Data in R

The tutor, Mr. Michael An, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course: Programming with Big Data in R

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course: Programming with Big Data in R

Good overview of R and good range of topics. Trainer was happy to answer all questions.

Symphony EYC

Course: R

I really enjoyed the knowledge of the trainer.

Stephanie Seiermann

Course: R

It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.

Sonja Steiner - BearingPoint GmbH

Course: R Programming for Data Analysis

I really liked the exercises on time series modeling.

Teleperformance

Course: Data Analytics With R

New tool which is “R” and I find it interesting to know the existence of such tool for data analysis.

Michael Lopez - Teleperformance

Course: Data Analytics With R

The tool was interesting and I see the use. I would like to learn about more about it.

Teleperformance

Course: Data Analytics With R

the matter was well presented and in an orderly manner.

Marylin Houle - Ivanhoe Cambridge

Course: Introduction to R with Time Series Analysis

He really explained everything well and used examples.

royal bank of Canada

Course: R

I enjoyed the self-learning through exercises and the tips and shortcuts shared.

Competition Bureau

Course: R for Data Analysis and Research

I was benefit from the detailed notes to keep and work through after the course.

Public Health Wales NHS Trust

Course: Introduction to Data Visualization with Tidyverse and R

The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.

Rhian Hughes - Public Health Wales NHS Trust

Course: Introduction to Data Visualization with Tidyverse and R

I was benefit from the good examples and opportunity to follow along.

Environmental and Climate Change Canada

Course: Foundation R

I genuinely enjoyed the hands passed exercises.

Yunfa Zhu - Environmental and Climate Change Canada

Course: Foundation R

The trainer, the food, and the space were all great.

Canada Revenue Agency

Course: R

I like actually writing code with sample data and annotating the script for future reference.

Canada Revenue Agency

Course: R

The pre-made scripts used for training material was very useful. The interactive training allowed for a clear understanding of each topic.

Canada Revenue Agency

Course: R

The trainer was very concern about individual understanding.

Muhammad Surajo Sanusi - Birmingham City University

Course: Foundation R

Excellent presentation and it gives me confidence to build on knowledge gained.

Birmingham City University

Course: Foundation R

Background knowledge and 'provenance' of trainer.

Francis McGonigal - Birmingham City University

Course: Foundation R

Resources

Hafiz Rana - Birmingham City University

Course: Foundation R

Good explanations on how we do things

Birmingham City University

Course: Foundation R

I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.

Anna Yartseva - Birmingham City University

Course: Foundation R

Modeling and how to fit the data to model

USDA

Course: R for Data Analysis and Research

R Language Subcategories

R Language Course Outlines

Title

Duration

Overview

Title

Duration

Overview

Advanced R

7 hours

Overview

This course covers advanced topics in R programming.

Programming with Big Data in R

21 hours

Overview

Big Data is a term that refers to solutions destined for storing and processing large data sets. Developed by Google initially, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a popular programming language in the financial industry.

Introduction to Data Visualization with Tidyverse and R

7 hours

Overview

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

By the end of this training, participants will be able to:

- Perform data analysis and create appealing visualizations
- Draw useful conclusions from various datasets of sample data
- Filter, sort and summarize data to answer exploratory questions
- Turn processed data into informative line plots, bar plots, histograms
- Import and filter data from diverse data sources, including Excel, CSV, and SPSS files

Audience

- Beginners to the R language
- Beginners to data analysis and data visualization

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Shiny, R and HTML: Merging Data Science and Web Development

7 hours

Overview

Shiny is an open source R package that provides a web framework for building interactive web applications using R.

In this instructor-led, live training, participants will learn how to combine data science and web development using Shiny, R, and HTML.

By the end of this training, participants will be able to:

- Build interactive web applications with R using Shiny

Audience

- Data scientists
- Web developers
- Statisticians

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

R Programming for Data Analysis

14 hours

Overview

This course is part of the Data Scientist skill set (Domain: Data and Technology)

Advanced R Programming

7 hours

Overview

This course is for data scientists and statisticians that already have basic R & C++ coding skills and R code and need advanced R coding skills.

The purpose is to give a practical advanced R programming course to participants interested in applying the methods at work.

Sector specific examples are used to make the training relevant to the audience

Neural Network in R

14 hours

Overview

This course is an introduction to applying neural networks in real world problems using R-project software.

R

21 hours

Overview

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.

Introduction to R for Finance

21 hours

Overview

R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn the fundamentals of R programming as they walk through coding in R using financial examples.

By the end of this training, participants will be able to:

- Understand the basics of R programming
- Use R to manipulate their data to perform basic financial operations

Audience

- Programmers
- Finance professionals
- IT Professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Introductory R for Biologists

28 hours

Overview

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.

R Programming for Finance

28 hours

Overview

R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems.

By the end of this training, participants will be able to:

- Understand the fundamentals of the R programming language
- Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate deploy and optimize an R application

Audience

- Developers
- Analysts
- Quants

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.

Financial Trading with R

21 hours

Overview

R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn the basics of financial trading as they step through building and implementing basic trading strategies and actions in R using quantstrat.

By the end of this training, participants will be able to:

- Understand the fundamental concepts in trading
- Create and implement their first trading strategy using R
- Analyze the performance of their strategy using R

Audience

- Programmers
- Finance professionals
- IT Professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Advanced Machine Learning with R

21 hours

Overview

In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they step through the creation of a real-world application.

By the end of this training, participants will be able to:

- Understand and implement unsupervised learning techniques
- Apply clustering and classification to make predictions based on real world data.
- Visualize data to quicly gain insights, make decisions and further refine analysis.
- Improve the performance of a machine learning model using hyper-parameter tuning.
- Put a model into production for use in a larger application.
- Apply advanced machine learning techniques to answer questions involving social network data, big data, and more.

Predictive Modelling with R

14 hours

Overview

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.

NLP: Natural Language Processing with R

21 hours

Overview

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.

This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.

Format of the Course

- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

Marketing Analytics using R

21 hours

Overview

Audience

Business owners (marketing managers, product managers, customer base managers) and their teams; customer insights professionals.

Overview

The course follows the customer life cycle from acquiring new customers, managing the existing customers for profitability, retaining good customers, and finally understanding which customers are leaving us and why. We will be working with real (if anonymous) data from a variety of industries including telecommunications, insurance, media, and high tech.

Format

Instructor-led training over the course of five half-day sessions with in-class exercises as well as homework. It can be delivered as a classroom or distance (online) course.

Machine Learning Fundamentals with R

14 hours

Overview

The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the R programming platform and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.

Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Data Mining & Machine Learning with R

14 hours

Overview

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.

R Fundamentals

21 hours

Overview

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.

Data and Analytics - from the ground up

42 hours

Overview

Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions:

What has happened?

- processing and analyzing data
- producing informative data visualizations

What will happen?

- forecasting future performance
- evaluating forecasts

What should happen?

- turning data into evidence-based business decisions
- optimizing processes

The course itself can be delivered either as a 6 day classroom course or [remotely](https://www.nobleprog.co.uk/instructor-led-online-training-courses) over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.

Data Analytics With R

21 hours

Overview

[R](http://www.r-project.org/) is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries and advanced concepts. Advanced data analytics and graphing with real world data.

Audience

Developers / data analytics

Duration

3 days

Format

Lectures and Hands-on

Data Mining with R

14 hours

Overview

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.

Deep Learning for Finance (with R)

28 hours

Overview

Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to implement deep learning models for finance using R as they step through the creation of a deep learning stock price prediction model.

By the end of this training, participants will be able to:

- Understand the fundamental concepts of deep learning
- Learn the applications and uses of deep learning in finance
- Use R to create deep learning models for finance
- Build their own deep learning stock price prediction model using R

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Deep Learning for Banking (with R)

28 hours

Overview

Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to implement deep learning models for banking using R as they step through the creation of a deep learning credit risk model.

By the end of this training, participants will be able to:

- Understand the fundamental concepts of deep learning
- Learn the applications and uses of deep learning in banking
- Use R to create deep learning models for banking
- Build their own deep learning credit risk model using R

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Foundation R

7 hours

Overview

The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.

Machine Learning for Finance (with R)

28 hours

Overview

Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the finance industry. R will be used as the programming language.

Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects.

By the end of this training, participants will be able to:

- Understand the fundamental concepts in machine learning
- Learn the applications and uses of machine learning in finance
- Develop their own algorithmic trading strategy using machine learning with R

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Intermediate R for Finance

21 hours

Overview

R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn advanced programming concepts in R as they walk through coding in R using financial examples.

By the end of this training, participants will be able to:

- Implement advanced R programming techniques
- Use R to manipulate their data to perform more advanced financial operations

Audience

- Programmers
- Finance professionals
- IT Professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Introduction to R with Time Series Analysis

21 hours

Overview

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.

Machine Learning for Banking (with R)

28 hours

Overview

In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry. R will be used as the programming language.

Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of live projects.

Audience

- Developers
- Data scientists
- Banking professionals with a technical background

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Building Web Applications in R with Shiny

7 hours

Overview

Description:

This is a course designed to teach R users how to create web apps without needing to learn cross-browser HTML, Javascript, and CSS.

Objective:

Covers the basics of how Shiny apps work.

Covers all commonly used input/output/rendering/paneling functions from the Shiny library.

Upcoming R Language Courses

Building Web Applications in R with Shiny

2019-09-05 09:30:00

Bradford - Carlisle Business Centre

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R

2019-09-09 09:30:00

Leicester - Knighton Road

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Building Web Applications in R with Shiny

2019-09-16 09:30:00

Manchester - Portland Street

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Machine Learning Fundamentals with R

2019-09-16 09:30:00

Exeter - The Senate

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Machine Learning Fundamentals with R

2019-09-16 09:30:00

Manchester - Portland Street

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Other countries

These courses are also available in other countries ››

Consulting

R Language Consulting

Weekend R Language courses, Evening R Language training, R Language boot camp, R Language instructor-led, Weekend R Language training, Evening R Language courses, R Language coaching, R Language instructor, R Language trainer, R Language training courses, R Language classes, R Language on-site, R Language private courses, R Language one on one training

Course Discounts

Artificial Intelligence Overview

Tue, 2019-10-29 09:30

Glasgow

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Modelling Decision and Rules with OMG DMN

Tue, 2019-11-05 09:30

Newcastle

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Intermediate R for Finance

Wed, 2019-12-11 09:30

Cambridge

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Data analysis with Tableau

Mon, 2020-01-06 09:30

Oxford - The Quorum

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OpenCL

Mon, 2020-01-20 09:30

York - Priory Street Centre

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Some of our clients

axel springer se

university college london (ucl)

kingston university

defence science and technology laboratory (dstl)

ministry of justice uk

hm revenue & customs

queen mary university of london

cancer research uk

king's college london

delphi technologies

university of manchester

oxfordshire county council

the open university

imperial college healthcare

london councils

welsh government

universities and colleges admissions service (ucas)

royal bank of scotland

swedish defence materiel administration

macmillan cancer support

national health service (nhs)

chartered institute of marketing (cim)

basildon district council

ibm business consulting services

nintendo of europe

Course Catalogue

is growing fast!

We are looking to expand our presence in the UK!

As a Business Development Manager you will:

expand business in the UK
recruit local talent (sales, agents, trainers, consultants)
recruit local trainers and consultants

We offer:

Artificial Intelligence and Big Data systems to support your local operation
high-tech automation
continuously upgraded course catalogue and content
good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.