Lokala, instruktörsledda, live R (R Language) kurser visar genom handson övning av olika aspekter av R-språket, inklusive grunderna för R-programmering, avancerad R-programmering och R för dataanalys och datavisualisering Våra träningsövningar berör i realworld problem och lösningar inom områden som Finans, Bank och Försäkring NobleProg R-kurser sträcker sig från nybörjarkurser till avancerade kurser och är populära bland företag som vill anta R för att utveckla maskinlärande och djupt lärande R-träning är tillgänglig som "live-träning" eller "fjärr-live-träning" Utbildning på plats kan genomföras lokalt på kundlokaler i Sverige eller i NobleProgs företagsutbildningscenter i Sverige Fjärrutbildning sker genom en interaktiv fjärrskrivbord NobleProg Din lokala utbildningsleverantör.
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Vittnesmål
Han var mycket informativ och hjälpsam.
Pratheep Ravy
Kurs: Predictive Modelling with R
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Jag får svar på alla mina frågor.
Natalia Gladii
Kurs: Data Analytics With R
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Många problem som kan utforskas efter träningen
Klaudia Kłębek
Kurs: Data Mining z wykorzystaniem R
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Tränaren var så kunnig och inkluderade områden jag var intresserad av.
Mohamed Salama
Kurs: Data Mining & Machine Learning with R
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Mycket skräddarsydd för behoven.
Yashan Wang
Kurs: Data Mining with R
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Jag njöt verkligen av att arbeta 1: 1 med Gunner.
Bryant Ives
Kurs: Introduction to R
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Jag gillade de nya insikterna i djup maskininlärning.
Josip Arneric
Kurs: Neural Network in R
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Vi fick lite kunskap om NN i allmänhet, och det som var mest intressant för mig var de nya typerna av NN som är populära idag.
Tea Poklepovic
Kurs: Neural Network in R
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Jag tyckte mest om graferna i R :))).
Faculty of Economics and Business Zagreb
Kurs: Neural Network in R
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Den flexibla och vänliga stilen. Lär dig exakt vad som var användbart och relevant för mig.
Jenny Tickner
Kurs: Advanced R
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Jag åtnjöt Excel-arken för att ha övningarna med exempel. Detta innebar att om tamilerna höll på att hjälpa andra människor kunde jag knäcka med de följande delarna.
Luke Pontin
Kurs: Data and Analytics - from the ground up
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Att lära sig att använda excel ordentligt.
Torin Mitchell
Kurs: Data and Analytics - from the ground up
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Hur tränaren gjorde komplexa ämnen lätt att förstå.
Adam Drewry
Kurs: Data and Analytics - from the ground up
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Detaljerad och omfattande instruktion ges av erfaren och tydlig kunnig expert på ämnet.
Justin Roche
Kurs: Data and Analytics - from the ground up
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Tamil är mycket kunnig och trevlig person, jag har lärt mig mycket av honom.
Aleksandra Szubert
Kurs: Data and Analytics - from the ground up
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Jag gillade den första sessionen. Mycket intensiv och snabb.
Digital Jersey
Kurs: Data and Analytics - from the ground up
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Jag tyckte mest om Tamils tålamod.
Laszlo Maros
Kurs: Data and Analytics - from the ground up
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Jag fick verkligen nytta av praktiska praktiska exempel.
Wioleta (Vicky) Celinska-Drozd
Kurs: Data and Analytics - from the ground up
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Besvarade alla ämnesförfrågningar och tog mycket tid att svara på.
HSH Nordbank AG
Kurs: Prognosen mit R
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De fria övningarna.
Sabine Stammberger
Kurs: Prognosen mit R
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Mycket kunskap - teoretisk och praktisk.
Anna Alechno
Kurs: Forecasting with R
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Jag gillade verkligen hans kunskaper och praktiska exempel.
Irina Tulgara
Kurs: Forecasting with R
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Översikt och förstå hur stort ämnet är.
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Kurs: Forecasting with R
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god interaktion med tränaren, dynamisk utbyte av kunskap
NIIT Limited
Kurs: Data Analytics With R
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Händer på exempel var de mest användbara.
Sean Kaukas
Kurs: Introduction to R
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Michael tränaren är mycket kunnig och skicklig om ämnet Big Data och R. Han är väldigt flexibel och anpassar snabbt träningsmötet för kundernas behov. Han är också mycket kapabel att lösa tekniska och ämnesproblem på resande fot. Fantastisk och professionell träning !.
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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Jag njöt verkligen av införandet av nya paket.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Kurs: Programming with Big Data in R
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Läraren, Mr. Michael Yan, interagerade mycket bra med publiken, instruktionen var tydlig. Läraren ger också utrymme för att lägga till mer information baserat på förfrågningarna från eleverna under utbildningen.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Kurs: Programming with Big Data in R
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Ämnet och takten var perfekta.
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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God överblick över R och bra ämnesområde. Trainer svarade gärna alla frågor.
Symphony EYC
Kurs: R
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Jag trivdes verkligen med tränaren.
Stephanie Seiermann
Kurs: R
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Det var mycket informativt och professionellt hållet. Wojteks kunskapsnivå var så avancerad att han i grund och botten kunde svara på någon fråga och han var villig att lägga ansträngningar för att passa träningen till mina personliga behov.
Sonja Steiner - BearingPoint GmbH
Kurs: R Programming for Data Analysis
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många övningar som jag direkt kan använda i mitt arbete.
Alior Bank S.A.
Kurs: Sieci Neuronowe w R
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Exempel på reella data.
Alior Bank S.A.
Kurs: Sieci Neuronowe w R
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neuralnet, pROC i en slinga.
Alior Bank S.A.
Kurs: Sieci Neuronowe w R
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Jag gillade verkligen övningarna på tidsseriemodellering.
Teleperformance
Kurs: Data Analytics With R
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Nytt verktyg som är "R" och jag tycker det är intressant att veta förekomsten av sådant verktyg för dataanalys.
Michael Lopez - Teleperformance
Kurs: Data Analytics With R
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Verktyget var intressant och jag ser användningen. Jag skulle vilja lära mig mer om det.
Teleperformance
Kurs: Data Analytics With R
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Mycket träning.
Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Kurs: R
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Väsentlig kunskap om tränaren och erfarenheten, olika exempel
Anna Wysocka - Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Kurs: R
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saken var väl presenterad och på ett ordnat sätt.
Marylin Houle - Ivanhoe Cambridge
Kurs: Introduction to R with Time Series Analysis
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Han förklarade verkligen allt bra och använde exempel.
royal bank of Canada
Kurs: R
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Jag njöt av självlärandet genom övningar och tips och genvägar delade.
Competition Bureau
Kurs: R for Data Analysis and Research
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Jag hade nytta av de detaljerade anteckningarna att hålla och arbeta igenom efter kursen.
Public Health Wales NHS Trust
Kurs: Introduction to Data Visualization with Tidyverse and R
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Tempot var lagom och den avslappnade atmosfären gjorde att kandidaterna lätt kunde ställa frågor.
Rhian Hughes - Public Health Wales NHS Trust
Kurs: Introduction to Data Visualization with Tidyverse and R
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Jag hade nytta av de goda exemplen och möjligheten att följa med i texten.
Environmental and Climate Change Canada
Kurs: Foundation R
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Jag njöt verkligen händerna passerade övningar.
Yunfa Zhu - Environmental and Climate Change Canada
Kurs: Foundation R
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Det var bra att det fanns ett stort rum.
Canada Revenue Agency
Kurs: R
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Jag gillar faktiskt skriva kod med exempel data och kommentera skriptet för framtida referens.
Canada Revenue Agency
Kurs: R
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De färdiga skripten som användes för utbildningsmaterial var mycket användbara. Den interaktiva träningen tillät en tydlig förståelse av varje ämne.
Canada Revenue Agency
Kurs: R
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R Language underkategorier
R Language läroplaner
Kurs Namn
Varaktighet
Översikt
Kurs Namn
Varaktighet
Översikt
21 timmar
Översikt
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 timmar
Översikt
This course is an introduction to applying neural networks in real world problems using R-project software.
7 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
[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 timmar
Översikt
This course is part of the Data Scientist skill set (Domain: Data and Technology)
14 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
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 timmar
Översikt
This instructor-led, live training in Sverige (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.
Kommande R Language Kurser
08-11-2021 09:30
14 timmar
22-11-2021 09:30
21 timmar
25-11-2021 09:30
14 timmar
06-12-2021 09:30
7 timmar
15-12-2021 09:30
21 timmar
Andra länder
Konsult
Helg R Language kurs, kvällR Language utbildning, R Language bootcamp, R Language instruktörledd, Helg R Language utbildning, Kväll R Language kurs, R Language coaching, R Language instruktör, R Language tränare, R Language kurs, R Language klasser, R Language on-site, R Language privata kurser, R Language en till en utbildning
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.jpg "international air transport association (iata)")
.jpg "european southern observatory (eso)")
