Local, instructorled live R (R Language) training courses demonstrate through handson practice various aspects of the R language, including the fundamentals of R programming, advanced R programming and R for Data Analysis and Data Visualization Our training exercises touch on realworld problems and solutions in areas such as Finance, Banking and Insurance NobleProg R training courses range from beginner courses to advanced courses and are popular among companies wishing to adopt R for developing Machine Learning and Deep Learning applications
R training is available as "onsite live training" or "remote live training" Onsite live training can be carried out locally on customer premises in Norge or in NobleProg corporate training centers in Norge Remote live training is carried out by way of an interactive, remote desktop
NobleProg Your Local Training Provider.
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Testimonials
Han var veldig lærerik og hjelpsom.
Pratheep Ravy
Kurs: Predictive Modelling with R
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Jeg får svar på alle spørsmålene mine.
Natalia Gladii
Kurs: Data Analytics With R
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Mange saker som kan utforskes etter treningen
Klaudia Kłębek
Kurs: Data Mining z wykorzystaniem R
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Treneren var så kunnskapsrik og inkluderte områder jeg var interessert i
Mohamed Salama
Kurs: Data Mining & Machine Learning with R
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veldig skreddersydd etter behov
Yashan Wang
Kurs: Data Mining with R
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Jobber med 1: 1 med Gunnar.
Bryant Ives
Kurs: Introduction to R
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ny innsikt i dyp maskinlæring
Josip Arneric
Kurs: Neural Network in R
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Vi fikk litt kunnskap om NN generelt, og det som var det mest interessante for meg var de nye typene NN som er populære nå for tiden.
Tea Poklepovic
Kurs: Neural Network in R
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Grafer i R :)))
Faculty of Economics and Business Zagreb
Kurs: Neural Network in R
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Den fleksible og vennlige stilen. Lær nøyaktig hva som var nyttig og relevant for meg
Jenny Tickner
Kurs: Advanced R
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Jeg likte Excel arkene som ga øvelsene med eksempler. Dette betydde at hvis Kamil ble holdt opp med å hjelpe andre mennesker, kunne jeg slå meg løs med de neste delene.
Luke Pontin
Kurs: Data and Analytics - from the ground up
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lære hvordan du bruker excel riktig
Torin Mitchell
Kurs: Data and Analytics - from the ground up
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Måten trener gjorde komplekse fag lett å forstå.
Adam Drewry
Kurs: Data and Analytics - from the ground up
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Detaljert og omfattende instruksjon gitt av erfaren og tydelig kunnskapsrik ekspert på emnet.
Justin Roche
Kurs: Data and Analytics - from the ground up
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Kamil er veldig kunnskapsrik og hyggelig person, jeg har lært mye av ham.
Aleksandra Szubert
Kurs: Data and Analytics - from the ground up
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Første økt. Veldig intensiv og rask.
Digital Jersey
Kurs: Data and Analytics - from the ground up
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Tålmodigheten til Kamil.
Laszlo Maros
Kurs: Data and Analytics - from the ground up
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praktiske eksempler på det virkelige liv
Wioleta (Vicky) Celinska-Drozd
Kurs: Data and Analytics - from the ground up
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På alle emneforespørsler som er mottatt, og det tok mye tid for svaret.
HSH Nordbank AG
Kurs: Prognosen mit R
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De gratis øvelsene.
Sabine Stammberger
Kurs: Prognosen mit R
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Mye kunnskap - teoretisk og praktisk
Anna Alechno
Kurs: Forecasting with R
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hans kunnskapsrike og praktiske eksempler
Irina Tulgara
Kurs: Forecasting with R
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Oversikt og forstå hvor stort emnet er
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Kurs: Forecasting with R
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god samhandling med treneren, dynamisk kunnskapsutveksling
NIIT Limited
Kurs: Data Analytics With R
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Hender på eksempler var det mest nyttige.
Sean Kaukas
Kurs: Introduction to R
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Michael trener er veldig kunnskapsrik og dyktig om emnet Big Data og R. Han er veldig fleksibel og tilpasser raskt opplæringen til å imøtekomme kundenes behov. Han er også veldig dyktig til å løse tekniske og faglige problemer mens du er på farten. Fantastisk og profesjonell trening!
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Kurs: Programming with Big Data in R
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introduksjon av nye pakker
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Kurs: Programming with Big Data in R
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Veilederen, Mr. Michael Yan, interagerte veldig godt med publikum, instruksjonen var tydelig. Veilederen kan også legge til mer informasjon basert på forespørsler fra studentene under opplæringen.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Kurs: Programming with Big Data in R
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Fagstoffet og tempoet var perfekt.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Kurs: Programming with Big Data in R
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Go oversikt over R og godt utvalg av emner. Trener var glad for å svare på alle spørsmål
Symphony EYC
Kurs: R
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Kunnskap om trener
Stephanie Seiermann
Kurs: R
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Det var veldig lærerikt og profesjonelt holdt. Wojteks kunnskapsnivå var så avansert at han i utgangspunktet kunne svare på ethvert spørsmål, og han var villig til å satse på å tilpasse opplæringen til mine personlige behov.
Sonja Steiner - BearingPoint GmbH
Kurs: R Programming for Data Analysis
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mange øvelser som jeg direkte kan bruke i arbeidet mitt
Alior Bank S.A.
Kurs: Sieci Neuronowe w R
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Eksempler på ekte data
Alior Bank S.A.
Kurs: Sieci Neuronowe w R
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neuralnet, PROC i en loop
Alior Bank S.A.
Kurs: Sieci Neuronowe w R
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Øvelser på tidsseriemodellering
Teleperformance
Kurs: Data Analytics With R
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nytt verktøy som er "R", og jeg synes det er interessant å vite eksistensen av et slikt verktøy for dataanalyse
Michael Lopez - Teleperformance
Kurs: Data Analytics With R
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Verktøyet var interessant, og jeg ser bruken. Jeg vil gjerne lære mer om det.
Teleperformance
Kurs: Data Analytics With R
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Mye øving.
Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Kurs: R
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Substant kunnskap om trener og erfaring, forskjellige eksempler
Anna Wysocka - Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Kurs: R
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saken var godt presentert og på en ordnet måte.
Marylin Houle - Ivanhoe Cambridge
Kurs: Introduction to R with Time Series Analysis
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Han forklarte virkelig alt godt og brukte eksempler.
royal bank of Canada
Kurs: R
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Jeg likte selvlæringen gjennom øvelser og tipsene og snarveiene som ble delt.
Competition Bureau
Kurs: R for Data Analysis and Research
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Jeg hadde god fordel av de detaljerte merknadene som jeg kunne holde og jobbe gjennom etter kurset.
Public Health Wales NHS Trust
Kurs: Introduction to Data Visualization with Tidyverse and R
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Tempoet var akkurat passe og den avslappede atmosfæren fikk kandidatene til å føle seg vel i å stille spørsmål.
Rhian Hughes - Public Health Wales NHS Trust
Kurs: Introduction to Data Visualization with Tidyverse and R
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Jeg fikk fordel av de gode eksemplene og muligheten til å følge med.
Environmental and Climate Change Canada
Kurs: Foundation R
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Jeg likte virkelig hendene som passerte øvelser.
Yunfa Zhu - Environmental and Climate Change Canada
Kurs: Foundation R
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Treneren, maten og plassen var stor.
Canada Revenue Agency
Kurs: R
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Jeg liker å skrive kode med eksempeldata og kommentere skriptet for fremtidig referanse.
Canada Revenue Agency
Kurs: R
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De ferdiglagde skriptene som ble brukt til treningsmateriell var veldig nyttige. Den interaktive opplæringen muliggjorde en klar forståelse av hvert tema.
Canada Revenue Agency
Kurs: R
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R Language Underkategorier
R Language Kursplaner
Kursnavn
Varighet
Oversikt
Kursnavn
Varighet
Oversikt
21 timer
Oversikt
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 timer
Oversikt
This course is an introduction to applying neural networks in real world problems using R-project software.
7 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
[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 timer
Oversikt
This course is part of the Data Scientist skill set (Domain: Data and Technology)
14 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
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 timer
Oversikt
This instructor-led, live training in Norge (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.
Kommende R Language Kurs
04-10-2021 09:30
14 timer
05-10-2021 09:30
21 timer
15-10-2021 09:30
7 timer
01-11-2021 09:30
21 timer
10-11-2021 09:30
21 timer
Rådgivning
Helg R Language kurs, kveld R Language trening, R Language boot camp, R Language instruktørledet, Helg R Language trening, Kveld R Language kurs, R Language coaching, R Language instruktør, R Language trener, R Language kurs, R Language klasser, R Language on-site, R Language private kurs, R Language tomannshånd trening
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