Cursos de R

Cursos de R

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 Portugal ou nos centros de treinamento locais NobleProg no Portugal. O treinamento ao vivo remoto é realizado por meio de uma área de trabalho remota e interativa.



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Declaração de Clientes

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Subcategorias R

Programa de 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).
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
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 .
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.
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.
7 horas
Visão geral
This course covers advanced topics in R programming.
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
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.
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.
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
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.
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
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
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
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
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
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
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
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 Portugal (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.

Próximos Cursos de R

Cursos de fim de semana de R, Treinamento tardiurno de R, Treinamento em grupo de R, R guiado por instrutor, Treinamento de R de fim de semana, Cursos de R tardiurnos, coaching de R, Instrutor de R, Treinador de R, Cursos de treinamento de R, Aulas de R, R no local do cliente, Cursos privados de R, Treinamento individual de R

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We are looking for a good mixture of IT and soft skills in Portugal!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
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  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
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