Les cours de formation R (R) en direct, organisés en local, démontrent par la pratique pratique divers aspects du langage R, y compris les principes fondamentaux de la programmation R, de la programmation avancée R et de l'analyse des données et de la visualisation des données Nos exercices de formation touchent des problèmes réels et des solutions dans des domaines tels que la finance, la banque et l'assurance Les cours de formation de NobleProg R vont des cours pour débutants aux cours avancés et sont populaires parmi les entreprises qui souhaitent adopter R pour développer des applications d'apprentissage automatique et d'apprentissage profond La formation R est disponible en tant que «formation en direct sur site» ou «formation en direct à distance» La formation en direct sur site peut être effectuée localement dans les locaux du client Quebec ou dans les centres de formation d'entreprise NobleProg à Quebec La formation en ligne à distance est réalisée au moyen d'un ordinateur de bureau interactif et distant NobleProg Votre fournisseur de formation local.
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Nos Clients témoignent
Le formateur était très compétent et comprenait des domaines qui m'intéressaient.
Mohamed Salama
Formation: Data Mining & Machine Learning with R
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Michael le formateur est très compétent et compétent sur le sujet du Big Data et R. Il est très flexible et personnalise rapidement la formation en fonction des besoins des clients. Il est également très capable de résoudre des problèmes techniques et liés à un sujet en déplacement. Formation fantastique et professionnelle!
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Formation: Programming with Big Data in R
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J'ai vraiment apprécié l'introduction de nouveaux paquets.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Formation: Programming with Big Data in R
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Le tuteur, M. Michael Yan, a très bien interagi avec le public, les instructions étaient claires. Le tuteur va également jusqu'à ajouter plus d'informations en fonction des demandes des étudiants pendant la formation.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Formation: Programming with Big Data in R
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Le sujet et le rythme étaient parfaits.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Formation: Programming with Big Data in R
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Il était très instructif et utile.
Pratheep Ravy
Formation: Predictive Modelling with R
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J'ai des réponses à toutes mes questions.
Natalia Gladii
Formation: Data Analytics With R
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Beaucoup de problèmes qui peuvent être explorés après la formation
Klaudia Kłębek
Formation: Data Mining z wykorzystaniem R
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Très adapté aux besoins.
Yashan Wang
Formation: Data Mining with R
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J'ai vraiment aimé travailler 1: 1 avec Gunner.
Bryant Ives
Formation: Introduction to R
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J'ai aimé les nouvelles connaissances sur l'apprentissage en machine profonde.
Josip Arneric
Formation: Neural Network in R
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Nous avons acquis des connaissances sur NN en général et ce qui était le plus intéressant pour moi, c’était les nouveaux types de NN qui sont populaires de nos jours.
Tea Poklepovic
Formation: Neural Network in R
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J'ai surtout apprécié les graphiques en R :))).
Faculty of Economics and Business Zagreb
Formation: Neural Network in R
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Le style flexible et amical. Apprendre exactement ce qui était utile et pertinent pour moi.
Jenny Tickner
Formation: Advanced R
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J'ai apprécié les feuilles Excel fournies avec les exercices avec des exemples. Cela signifiait que si Tamil était empêché d’aider d’autres personnes, je pourrais continuer à jouer avec les parties suivantes.
Luke Pontin
Formation: Data and Analytics - from the ground up
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Apprendre à utiliser Excel correctement.
Torin Mitchell
Formation: Data and Analytics - from the ground up
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La manière dont le formateur a rendu les sujets complexes faciles à comprendre.
Adam Drewry
Formation: Data and Analytics - from the ground up
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Instruction détaillée et complète donnée par un expert expérimenté et bien informé sur le sujet.
Justin Roche
Formation: Data and Analytics - from the ground up
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Le tamoul est une personne très compétente et gentille, j'ai beaucoup appris de lui.
Aleksandra Szubert
Formation: Data and Analytics - from the ground up
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J'ai aimé la première session. Très intensif et rapide.
Digital Jersey
Formation: Data and Analytics - from the ground up
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J'ai surtout aimé la patience du tamoul.
Laszlo Maros
Formation: Data and Analytics - from the ground up
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J'ai vraiment bénéficié des exemples concrets de la vie réelle.
Wioleta (Vicky) Celinska-Drozd
Formation: Data and Analytics - from the ground up
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Répondu à toutes les demandes de sujets et a pris beaucoup de temps pour répondre.
HSH Nordbank AG
Formation: Prognosen mit R
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Les exercices gratuits
Sabine Stammberger
Formation: Prognosen mit R
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Beaucoup de connaissances - théoriques et pratiques.
Anna Alechno
Formation: Forecasting with R
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J'ai vraiment aimé ses connaissances et ses exemples pratiques.
Irina Tulgara
Formation: Forecasting with R
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Vue d'ensemble et compréhension de l'ampleur du sujet.
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Formation: Forecasting with R
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bonne interaction avec le formateur, échange dynamique de connaissances
NIIT Limited
Formation: Data Analytics With R
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Les exemples pratiques ont été les plus utiles.
Sean Kaukas
Formation: Introduction to R
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Bon aperçu de R et bonne gamme de sujets. Le formateur était heureux de répondre à toutes les questions.
Symphony EYC
Formation: R
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J'ai vraiment apprécié les connaissances du formateur.
Stephanie Seiermann
Formation: R
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C'était très informatif et professionnel. Le niveau de connaissance de Wojteks était tellement avancé qu'il pouvait essentiellement répondre à toutes les questions et il était prêt à faire des efforts pour adapter la formation à mes besoins personnels.
Sonja Steiner - BearingPoint GmbH
Formation: R Programming for Data Analysis
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beaucoup d'exercices que je peux utiliser directement dans mon travail.
Alior Bank S.A.
Formation: Sieci Neuronowe w R
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Exemples sur des données réelles
Alior Bank S.A.
Formation: Sieci Neuronowe w R
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neuralnet, pROC dans une boucle.
Alior Bank S.A.
Formation: Sieci Neuronowe w R
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J'ai vraiment aimé les exercices sur la modélisation des séries chronologiques.
Teleperformance
Formation: Data Analytics With R
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Nouvel outil qui est "R" et je trouve intéressant de connaître l'existence d'un tel outil pour l'analyse des données.
Michael Lopez - Teleperformance
Formation: Data Analytics With R
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L'outil était intéressant et je vois l'utilisation. J'aimerais en savoir plus à ce sujet.
Teleperformance
Formation: Data Analytics With R
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Beaucoup de pratique.
Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Formation: R
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Connaissance approfondie du formateur et de son expérience, divers exemples
Anna Wysocka - Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Formation: R
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l'affaire était bien présentée et de manière ordonnée.
Marylin Houle - Ivanhoe Cambridge
Formation: Introduction to R with Time Series Analysis
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Il a vraiment bien tout expliqué et utilisé des exemples.
royal bank of Canada
Formation: R
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J'ai apprécié l'autoapprentissage grâce aux exercices et aux astuces et raccourcis partagés.
Competition Bureau
Formation: R for Data Analysis and Research
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J'ai été bénéficier des notes détaillées de garder et de travailler à travers après le cours.
Public Health Wales NHS Trust
Formation: Introduction to Data Visualization with Tidyverse and R
Machine Translated
Le rythme était juste et l'atmosphère détendue fait les candidats se sentent à l'aise pour poser des questions.
Rhian Hughes - Public Health Wales NHS Trust
Formation: Introduction to Data Visualization with Tidyverse and R
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Nos clients
.png "aeronautical radio, incorporated (arinc)"){kind=small}
_ireland.gif "environmental protection agency (epa) ireland")
.jpg "international air transport association (iata)")
Sous-catégories R Language
Plans de cours R Language
Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
21 hours
Aperçu
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.
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.
14 hours
Aperçu
Ce cours est une introduction à l'application de réseaux de neurones à des problèmes du monde réel à l'aide du logiciel R-project.
7 hours
Aperçu
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
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
14 hours
Aperçu
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.
21 hours
Aperçu
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.
14 hours
Aperçu
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.
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.
21 hours
Aperçu
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.
21 hours
Aperçu
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.
7 hours
Aperçu
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.
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.
28 hours
Aperçu
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.
21 hours
Aperçu
[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
Audience
Developers / data analytics
Duration
3 days
Format
Lectures and Hands-on
14 hours
Aperçu
This course is part of the Data Scientist skill set (Domain: Data and Technology)
14 hours
Aperçu
R est un langage de programmation sans opensource pour le calcul statistique, l'analyse de données et les graphiques R est utilisé par un nombre croissant de gestionnaires et d'analystes de données au sein des entreprises et des universités R a une grande variété de paquets pour l'exploration de données .
14 hours
Aperçu
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.
21 hours
Aperçu
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.
21 hours
Aperçu
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
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
42 hours
Aperçu
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.
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.
21 hours
Aperçu
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.
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.
28 hours
Aperçu
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
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
28 hours
Aperçu
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.
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.
21 hours
Aperçu
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
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
21 hours
Aperçu
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
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
21 hours
Aperçu
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
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
28 hours
Aperçu
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
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
28 hours
Aperçu
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
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
28 hours
Aperçu
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
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
7 hours
Aperçu
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
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
7 hours
Aperçu
The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.
14 hours
Aperçu
This instructor-led, live training in Quebec (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.
By the end of this training, participants will be able to:
- Employ algorithms to buy and sell securities at specialized increments rapidly.
- Reduce costs associated with trade using algorithmic trading.
- Automatically monitor stock prices and place trades.
By the end of this training, participants will be able to:
- Employ algorithms to buy and sell securities at specialized increments rapidly.
- Reduce costs associated with trade using algorithmic trading.
- Automatically monitor stock prices and place trades.
Autres régions
Other countries
Conseil
Weekend R Language cours, Soir R Language formation, R Language stage d’entraînement, R Language formateur à distance, R Language formateur en ligne, R Language formateur Online, R Language cours en ligne, R Language cours à distance, R Language professeur à distance, R Language visioconférence, R Language stage d’entraînement intensif, R Language formation accélérée, R Language formation intensive, Formation inter R Language, Formation intra R Language, Formation intra Enteprise R Language, Formation inter Entreprise R Language, Weekend R Language formation, Soir R Language cours, R Language coaching, R Language entraînement, R Language préparation, R Language instructeur, R Language professeur, R Language formateur, R Language stage de formation, R Language cours, R Language sur place, R Language formations privées, R Language formation privée, R Language cours particulier, R Language cours particuliers