Cursos de Linguagem de programação R, R Software Environment para computação estatística e gráfica. Cursos de treinamento ao vivo, local e instruídos, demonstram através da prática prática vários aspectos da linguagem R, incluindo os fundamentos da programação R, programação avançada R e R para Análise de Dados e Visualização de Dados. Nossos exercícios de treinamento abordam problemas e soluções do mundo real em áreas como Finanças, Bancos e Seguros. Os cursos de treinamento NobleProg® variam de cursos iniciantes a avançados e são populares entre as empresas que desejam adotar o R para desenvolver aplicativos de Aprendizado de Máquina e Aprendizado Profundo. O treinamento R está disponível em vários formatos, incluindo treinamento ao vivo no local e treinamento online ao vivo e interativo. O treinamento ao vivo no local pode ser realizado nas instalações do cliente no Brasil ou nos centros de treinamento locais NobleProg no Brasil. O treinamento ao vivo remoto é realizado por meio de uma área de trabalho remota e interativa.
NobleProg -- Seu Provedor de Treinamento Local
Declaração de Clientes
Ele foi muito informativo e útil.
Pratheep Ravy
Curso: Predictive Modelling with R
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Recebo respostas sobre todas as minhas perguntas.
Natalia Gladii
Curso: Data Analytics With R
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Muitas questões que podem ser exploradas após o treinamento
Klaudia Kłębek
Curso: Data Mining z wykorzystaniem R
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O treinador foi tão experiente e áreas incluídas eu estava interessado em.
Mohamed Salama
Curso: Data Mining & Machine Learning with R
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Muito adaptado às necessidades.
Yashan Wang
Curso: Data Mining with R
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Eu realmente gostei de trabalhar 1: 1 com o Gunner.
Bryant Ives
Curso: Introduction to R
Machine Translated
Eu gostei dos novos insights em deep machine learning.
Josip Arneric
Curso: Neural Network in R
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Ganhamos algum conhecimento sobre o NN em geral, e o que foi mais interessante para mim foram os novos tipos de NN que são populares hoje em dia.
Tea Poklepovic
Curso: Neural Network in R
Machine Translated
Eu gostei principalmente dos gráficos em R :))).
Faculty of Economics and Business Zagreb
Curso: Neural Network in R
Machine Translated
O estilo flexível e amigável. Aprendendo exatamente o que foi útil e relevante para mim.
Jenny Tickner
Curso: Advanced R
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Gostei das planilhas do Excel fornecidas tendo os exercícios com exemplos. Isso significava que, se o Tamil fosse ajudado por outras pessoas, eu poderia continuar com as próximas partes.
Luke Pontin
Curso: Data and Analytics - from the ground up
Machine Translated
Aprender a usar o excel adequadamente.
Torin Mitchell
Curso: Data and Analytics - from the ground up
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A maneira como o treinador tornou os assuntos complexos fáceis de entender.
Adam Drewry
Curso: Data and Analytics - from the ground up
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Instrução detalhada e abrangente dada por experiente e especialista com conhecimento claro sobre o assunto.
Justin Roche
Curso: Data and Analytics - from the ground up
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Tamil é muito experiente e boa pessoa, eu aprendi muito com ele.
Aleksandra Szubert
Curso: Data and Analytics - from the ground up
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Eu gostei da primeira sessão. Muito intensivo e rápido.
Digital Jersey
Curso: Data and Analytics - from the ground up
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Eu gostava principalmente da paciência do Tamil.
Laszlo Maros
Curso: Data and Analytics - from the ground up
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Eu realmente me beneficiei dos exemplos práticos da vida real.
Wioleta (Vicky) Celinska-Drozd
Curso: Data and Analytics - from the ground up
Machine Translated
Respondeu todos os pedidos de tópicos e demorou muito para responder.
HSH Nordbank AG
Curso: Prognosen mit R
Machine Translated
Os exercícios gratuitos.
Sabine Stammberger
Curso: Prognosen mit R
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Muito conhecimento - teórico e prático.
Anna Alechno
Curso: Forecasting with R
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Gostei genuinamente de seu conhecimento e exemplos práticos.
Irina Tulgara
Curso: Forecasting with R
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Visão geral e compreensão do tamanho do tópico.
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Curso: Forecasting with R
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boa interação com o treinador, intercâmbio dinâmico de conhecimento
NIIT Limited
Curso: Data Analytics With R
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As mãos nos exemplos foram as mais úteis.
Sean Kaukas
Curso: Introduction to R
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Michael o treinador é muito experiente e hábil sobre o assunto de Big Data e R. Ele é muito flexível e personaliza rapidamente o treinamento de atender às necessidades dos clientes. Ele também é muito capaz de resolver problemas técnicos e de assuntos em movimento. Treinamento fantástico e profissional !.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Curso: Programming with Big Data in R
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Gostei muito da introdução de novos pacotes.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Curso: Programming with Big Data in R
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O tutor, o Sr. Michael Yan, interagiu muito bem com o público, a instrução foi clara. O tutor também se esforça para adicionar mais informações com base nas solicitações dos alunos durante o treinamento.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Curso: Programming with Big Data in R
Machine Translated
O assunto e o ritmo eram perfeitos.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Curso: Programming with Big Data in R
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Boa visão geral de R e boa variedade de tópicos. O treinador ficou feliz em responder a todas as perguntas.
Symphony EYC
Curso: R
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Eu realmente gostei do conhecimento do treinador.
Stephanie Seiermann
Curso: R
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Foi muito informativo e profissionalmente realizada. O nível de conhecimento do Wojteks era tão avançado que ele basicamente poderia responder a qualquer pergunta e estava disposto a se esforçar para adaptar o treinamento às minhas necessidades pessoais.
Sonja Steiner - BearingPoint GmbH
Curso: R Programming for Data Analysis
Machine Translated
muitos exercícios que posso usar diretamente no meu trabalho.
Alior Bank S.A.
Curso: Sieci Neuronowe w R
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Exemplos de dados reais.
Alior Bank S.A.
Curso: Sieci Neuronowe w R
Machine Translated
neuralnet, pROC em um loop.
Alior Bank S.A.
Curso: Sieci Neuronowe w R
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Eu realmente gostei dos exercícios sobre modelagem de séries temporais.
Teleperformance
Curso: Data Analytics With R
Machine Translated
Nova ferramenta que é “R” e acho interessante conhecer a existência dessa ferramenta para análise de dados.
Michael Lopez - Teleperformance
Curso: Data Analytics With R
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A ferramenta foi interessante e vejo o uso. Eu gostaria de aprender mais sobre isso.
Teleperformance
Curso: Data Analytics With R
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Muita prática.
Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Curso: R
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Conhecimento substantivo do formador e experiência, vários exemplos
Anna Wysocka - Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Curso: R
Machine Translated
o assunto foi bem apresentado e de forma ordenada.
Marylin Houle - Ivanhoe Cambridge
Curso: Introduction to R with Time Series Analysis
Machine Translated
Ele realmente explicou tudo bem e usou exemplos.
royal bank of Canada
Curso: R
Machine Translated
Gostei do auto-aprendizado através de exercícios e das dicas e atalhos compartilhados.
Competition Bureau
Curso: R for Data Analysis and Research
Machine Translated
Eu era o benefício das notas detalhadas para manter e trabalhar após o curso.
Public Health Wales NHS Trust
Curso: Introduction to Data Visualization with Tidyverse and R
Machine Translated
O ritmo era justo e o ambiente descontraído fez com que os candidatos se sintam à vontade para fazer perguntas.
Rhian Hughes - Public Health Wales NHS Trust
Curso: Introduction to Data Visualization with Tidyverse and R
Machine Translated
Eu era o benefício dos bons exemplos e oportunidade de acompanhar.
Environmental and Climate Change Canada
Curso: Foundation R
Machine Translated
Eu realmente gostei das mãos passadas exercícios.
Yunfa Zhu - Environmental and Climate Change Canada
Curso: Foundation R
Machine Translated
O treinador, a comida, e o espaço eram todos grandes.
Canada Revenue Agency
Curso: R
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Eu gosto realmente escrever código com dados de exemplo e anotar o script para referência futura.
Canada Revenue Agency
Curso: R
Machine Translated
Os scripts pré-fabricados utilizados para o material de treinamento foi muito útil. O treinamento interativo permitiu uma compreensão clara de cada tópico.
Canada Revenue Agency
Curso: R
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Nossos Clientes
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.jpg "european southern observatory (eso)")
_ireland.gif "environmental protection agency (epa) ireland")
Subcategorias R
Programas do curso R
Nome do Curso
Duração
Visão geral
Nome do Curso
Duração
Visão geral
21 horas
Visão geral
Público
Proprietários de Business (gerentes de marketing, gerentes de produto, gerentes de base de clientes) e suas equipes; profissionais de insights do cliente.
visão global
O curso segue o ciclo de vida do cliente, desde adquirir novos clientes, gerenciar os clientes existentes para obter lucratividade, reter bons clientes e, finalmente, entender quais clientes estão nos deixando e por quê. Trabalharemos com dados reais (se anônimos) de uma variedade de setores, incluindo telecomunicações, seguros, mídia e alta tecnologia.
Formato
Treinamento conduzido por instrutor durante cinco sessões de meio dia com exercícios em sala de aula e trabalhos de casa. Pode ser entregue em sala de aula ou em distância (on-line).
Proprietários de Business (gerentes de marketing, gerentes de produto, gerentes de base de clientes) e suas equipes; profissionais de insights do cliente.
visão global
O curso segue o ciclo de vida do cliente, desde adquirir novos clientes, gerenciar os clientes existentes para obter lucratividade, reter bons clientes e, finalmente, entender quais clientes estão nos deixando e por quê. Trabalharemos com dados reais (se anônimos) de uma variedade de setores, incluindo telecomunicações, seguros, mídia e alta tecnologia.
Formato
Treinamento conduzido por instrutor durante cinco sessões de meio dia com exercícios em sala de aula e trabalhos de casa. Pode ser entregue em sala de aula ou em distância (on-line).
14 horas
Visão geral
Este curso é uma introdução à aplicação de redes neurais em problemas reais usando o software R-project.
7 horas
Visão geral
Este curso é para cientistas de dados e estatísticos que já possuem habilidades básicas de codificação R & C++ e código R e precisam de habilidades avançadas de codificação R.
O objetivo é oferecer um curso prático de programação avançada para participantes interessados em aplicar os métodos no trabalho.
Exemplos específicos do setor são usados para tornar o treinamento relevante para o público
O objetivo é oferecer um curso prático de programação avançada para participantes interessados em aplicar os métodos no trabalho.
Exemplos específicos do setor são usados para tornar o treinamento relevante para o público
14 horas
Visão geral
R é uma linguagem de programação livre e de código aberto para computação estatística, análise de dados e gráficos. R é usado por um número crescente de gerentes e analistas de dados dentro das corporações e da academia. R possui uma ampla variedade de pacotes para mineração de dados.
21 horas
Visão geral
Este curso é um curso base de programação para todos aqueles interessados em trabalhar com BigData e tem o objetivo de madquirir conhecimentos em R, uma linguagem muito usada e funcional no contexto das Tecnologías de Informação.
14 horas
Visão geral
O objetivo deste curso é fornecer uma proficiência básica na aplicação de métodos de Machine Learning na prática. Através do uso da plataforma de programação R e de suas diversas bibliotecas, e com base em vários exemplos práticos, este curso ensina como usar os blocos de construção mais importantes do Machine Learning , como tomar decisões de modelagem de dados, interpretar as saídas dos algoritmos e validar os resultados.
Nosso objetivo é fornecer a você as habilidades para entender e usar as ferramentas mais fundamentais da caixa de ferramentas Machine Learning confiança e evitar as armadilhas comuns dos aplicativos da Data Science .
Nosso objetivo é fornecer a você as habilidades para entender e usar as ferramentas mais fundamentais da caixa de ferramentas Machine Learning confiança e evitar as armadilhas comuns dos aplicativos da Data Science .
21 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
R é um ambiente muito popular de código aberto para computação estatística, análise de dados e gráficos. Este curso introduz a linguagem de programação R para estudantes, cobre os fundamentos dessa linguagem, bibliotecas e conceitos avançados. Análise de dados e graficos avançados com dados reais.
14 horas
Visão geral
This course is part of the Data Scientist skill set (Domain: Data and Technology)
14 horas
Visão geral
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.
14 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
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 horas
Visão geral
This instructor-led, live training in Brasil (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.
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