Lokale, instructieve live R (R Language) -cursussen demonstreren door handson de verschillende aspecten van de R-taal, inclusief de grondbeginselen van R-programmering, geavanceerde R-programmering en R voor gegevensanalyse en gegevensweergave Onze trainingsoefeningen raken de problemen en oplossingen op de wereldmarkt op het gebied van financiën, bankieren en verzekeren NobleProg R-trainingen variëren van beginnerscursussen tot geavanceerde cursussen en zijn populair bij bedrijven die R willen adopteren voor het ontwikkelen van machine learning en deep learning-toepassingen R-training is beschikbaar als 'live training op locatie' of 'live training op afstand' Onsite live training kan lokaal worden uitgevoerd op het terrein van de klant in Nederland of in NobleProg bedrijfsopleidingscentra in Nederland Live-training op afstand wordt uitgevoerd via een interactieve, externe desktop NobleProg Uw lokale trainingsaanbieder.
Machine Translated
Getuigenissen
Hij was zeer informatief en nuttig.
Pratheep Ravy
Cursus: Predictive Modelling with R
Machine Translated
Ik krijg antwoorden op al mijn vragen.
Natalia Gladii
Cursus: Data Analytics With R
Machine Translated
Veel problemen die na de training kunnen worden onderzocht
Klaudia Kłębek
Cursus: Data Mining z wykorzystaniem R
Machine Translated
De trainer was zo deskundig en inclusief gebieden waarin ik geïnteresseerd was.
Mohamed Salama
Cursus: Data Mining & Machine Learning with R
Machine Translated
Zeer afgestemd op de behoeften.
Yashan Wang
Cursus: Data Mining with R
Machine Translated
Ik vond het echt leuk om 1: 1 met Gunner te werken.
Bryant Ives
Cursus: Introduction to R
Machine Translated
Ik vond de nieuwe inzichten in deep machine learning leuk.
Josip Arneric
Cursus: Neural Network in R
Machine Translated
We hebben wat kennis opgedaan van NN in het algemeen en wat voor mij het meest interessant was, waren de nieuwe typen NN die tegenwoordig populair zijn.
Tea Poklepovic
Cursus: Neural Network in R
Machine Translated
Ik genoot vooral van de grafieken in R :))).
Faculty of Economics and Business Zagreb
Cursus: Neural Network in R
Machine Translated
De flexibele en vriendelijke stijl. Leren wat nuttig en relevant was voor mij.
Jenny Tickner
Cursus: Advanced R
Machine Translated
Ik heb genoten van de geleverde Excel-sheets met de oefeningen met voorbeelden. Dit betekende dat als Tamil werd opgehouden om andere mensen te helpen, ik kon doorgaan met de volgende delen.
Luke Pontin
Cursus: Data and Analytics - from the ground up
Machine Translated
Leren hoe je Excel op de juiste manier kunt gebruiken.
Torin Mitchell
Cursus: Data and Analytics - from the ground up
Machine Translated
De manier waarop de trainer complexe onderwerpen gemakkelijk te begrijpen maakte.
Adam Drewry
Cursus: Data and Analytics - from the ground up
Machine Translated
Gedetailleerde en uitgebreide instructie gegeven door ervaren en duidelijk deskundige op dit gebied.
Justin Roche
Cursus: Data and Analytics - from the ground up
Machine Translated
Tamil is een zeer goed geïnformeerd en aardig persoon, ik heb veel van hem geleerd.
Aleksandra Szubert
Cursus: Data and Analytics - from the ground up
Machine Translated
Ik vond de eerste sessie leuk. Zeer intensief en snel.
Digital Jersey
Cursus: Data and Analytics - from the ground up
Machine Translated
Ik vond vooral het geduld van Tamil leuk.
Laszlo Maros
Cursus: Data and Analytics - from the ground up
Machine Translated
Ik had echt baat bij de praktische praktijkvoorbeelden.
Wioleta (Vicky) Celinska-Drozd
Cursus: Data and Analytics - from the ground up
Machine Translated
Beantwoordde alle onderwerpverzoeken en nam veel tijd om te antwoorden.
HSH Nordbank AG
Cursus: Prognosen mit R
Machine Translated
De gratis oefeningen.
Sabine Stammberger
Cursus: Prognosen mit R
Machine Translated
Veel kennis - theoretisch en praktisch.
Anna Alechno
Cursus: Forecasting with R
Machine Translated
Ik vond zijn kennis en praktische voorbeelden oprecht leuk.
Irina Tulgara
Cursus: Forecasting with R
Machine Translated
Overzicht en begrip van hoe groot het onderwerp is.
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Cursus: Forecasting with R
Machine Translated
goede interactie met de trainer, dynamische uitwisseling van kennis
NIIT Limited
Cursus: Data Analytics With R
Machine Translated
Praktische voorbeelden waren het nuttigst.
Sean Kaukas
Cursus: Introduction to R
Machine Translated
Michael de trainer is zeer deskundig en bekwaam met betrekking tot het onderwerp Big Data en R. Hij is zeer flexibel en past de training aan op de behoefte van de klant. Hij is ook zeer capabel om technische en probleemproblemen onderweg op te lossen. Fantastische en professionele training !.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Cursus: Programming with Big Data in R
Machine Translated
Ik heb echt genoten van de introductie van nieuwe pakketten.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Cursus: Programming with Big Data in R
Machine Translated
De tutor, de heer Michael Yan, had een goede interactie met het publiek, de instructie was duidelijk. De tutor doet ook zijn best om meer informatie toe te voegen op basis van de verzoeken van de studenten tijdens de training.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Cursus: Programming with Big Data in R
Machine Translated
Het onderwerp en het tempo waren perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Cursus: Programming with Big Data in R
Machine Translated
Goed overzicht van R en goed bereik van onderwerpen. Trainer was blij om alle vragen te beantwoorden.
Symphony EYC
Cursus: R
Machine Translated
Ik heb echt genoten van de kennis van de trainer.
Stephanie Seiermann
Cursus: R
Machine Translated
Het was zeer informatief en professioneel gehouden. Wojteks kennisniveau was zo geavanceerd dat hij in principe elke vraag kon beantwoorden en hij was bereid moeite te doen om de training aan mijn persoonlijke behoeften aan te passen.
Sonja Steiner - BearingPoint GmbH
Cursus: R Programming for Data Analysis
Machine Translated
veel oefeningen die ik direct in mijn werk kan gebruiken.
Alior Bank S.A.
Cursus: Sieci Neuronowe w R
Machine Translated
Voorbeelden van echte gegevens.
Alior Bank S.A.
Cursus: Sieci Neuronowe w R
Machine Translated
neuralnet, pROC in een lus.
Alior Bank S.A.
Cursus: Sieci Neuronowe w R
Machine Translated
Ik vond de oefeningen over het modelleren van tijdreeksen erg goed.
Teleperformance
Cursus: Data Analytics With R
Machine Translated
Nieuwe tool die "R" is en ik vind het interessant om het bestaan van zo'n tool voor data-analyse te kennen.
Michael Lopez - Teleperformance
Cursus: Data Analytics With R
Machine Translated
De tool was interessant en ik zie het gebruik. Ik zou er graag meer over willen leren.
Teleperformance
Cursus: Data Analytics With R
Machine Translated
Veel oefening.
Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Cursus: R
Machine Translated
Inhoudelijke kennis van de trainer en ervaring, verschillende voorbeelden
Anna Wysocka - Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Cursus: R
Machine Translated
de zaak was goed gepresenteerd en op een ordentelijke manier.
Marylin Houle - Ivanhoe Cambridge
Cursus: Introduction to R with Time Series Analysis
Machine Translated
Hij legde alles goed uit en gebruikte voorbeelden.
royal bank of Canada
Cursus: R
Machine Translated
Ik heb genoten van de zelflerende oefeningen en de tips en snelkoppelingen gedeeld.
Competition Bureau
Cursus: R for Data Analysis and Research
Machine Translated
Ik was profiteren van de gedetailleerde aantekeningen te houden en te werken door na de cursus.
Public Health Wales NHS Trust
Cursus: Introduction to Data Visualization with Tidyverse and R
Machine Translated
Het tempo was precies goed en de ontspannen sfeer gemaakt kandidaten voelen zich op hun gemak om vragen te stellen.
Rhian Hughes - Public Health Wales NHS Trust
Cursus: Introduction to Data Visualization with Tidyverse and R
Machine Translated
Ik was profiteren van de goede voorbeelden en de gelegenheid om mee te volgen.
Environmental and Climate Change Canada
Cursus: Foundation R
Machine Translated
Ik heb echtgenoten van de handen doorgegeven oefeningen.
Yunfa Zhu - Environmental and Climate Change Canada
Cursus: Foundation R
Machine Translated
De trainer, het eten, en de ruimte waren allemaal geweldig.
Canada Revenue Agency
Cursus: R
Machine Translated
Ik hou eigenlijk het schrijven van code met voorbeeldgegevens en aantekeningen het script voor toekomstige referentie.
Canada Revenue Agency
Cursus: R
Machine Translated
De pre-en-klare scripts gebruikt voor de opleiding materiaal was zeer nuttig. De interactieve training stond voor een duidelijk begrip van elk onderwerp.
Canada Revenue Agency
Cursus: R
Machine Translated
R Language subcategorieën
R Language Cursusoverzicht
Course Name
Duration
Overview
Course Name
Duration
Overview
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.
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
Overview
This course is an introduction to applying neural networks in real world problems using R-project software.
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
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
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.
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.
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.
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
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.
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.
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.
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
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.
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
Audience
Developers / data analytics
Duration
3 days
Format
Lectures and Hands-on
14 hours
Overview
This course is part of the Data Scientist skill set (Domain: Data and Technology)
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.
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.
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.
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
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
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.
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
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.
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
14 hours
Overview
This instructor-led, live training in Nederland (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.
Aankomende R Language cursussen
27-10-2021 09:30
Amsterdam
7 hours
03-11-2021 09:30
Amsterdam
21 hours
11-11-2021 09:30
Amsterdam
14 hours
01-12-2021 09:30
Amsterdam
14 hours
02-12-2021 09:30
Amsterdam
14 hours
Weekend R Language cursus, Avond R Language training, Avond R Language opleiding R Language boot camp, R Language instructeur geleid, Weekend R Language training, Avond R Language cursus, R Language coaching, R Language instructeur, R Language trainer, R Language training cursus, R Language lessen, R Language on-site, R Language privé cursus, R Language een op een training, R Language op locatie, Weekend R Language opleiding
.jpg "procter & gamble (p&g)")
.png "european space agency (esa)")
.jpg "international air transport association (iata)")
