Місцеві, інструктор з навчання Live R (R language) навчальних курсів демонструють через практичний практиці різні аспекти мови R, включаючи основи R програмування, Advanced R програмування і R для аналізу даних і візуалізації даних. Наші тренувальні вправи стосуються реальних проблем і рішень в таких галузях, як Фінанси, банківська справа та страхування. NobleProg R навчальні курси варіюються від початківця курси до передових курсів і популярні серед компаній, що бажають прийняти R для розробки машинного навчання і глибокі програми навчання.
R підготовка доступна як "на місці навчання" або "дистанційне навчання жити". На місці навчання в прямому ефірі може здійснюватися на місцевому рівні в україні або в Неbleprog корпоративні навчальні центри в україні. Дистанційне навчання в прямому ефірі здійснюється шляхом інтерактивного, віддаленого робочого стола.
Nobleпрога-ваш місцевий навчальний провайдер
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Відгуки
Він був дуже інформативним і корисним.
Pratheep Ravy
Курси: Predictive Modelling with R
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Я отримую відповіді на всі мої питання.
Natalia Gladii
Курси: Data Analytics With R
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Багато питань, які можуть бути вивчені після тренування
Klaudia Kłębek
Курси: Data Mining z wykorzystaniem R
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Тренер був настільки добре обізнаний і включив області я був зацікавлений.
Mohamed Salama
Курси: Data Mining & Machine Learning with R
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Дуже пристосована до потреб.
Yashan Wang
Курси: Data Mining with R
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Я щиро користувався робочим 1:1 з навідника.
Bryant Ives
Курси: Introduction to R
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Мені сподобався новий погляд на глибоке Машинне навчання.
Josip Arneric
Курси: Neural Network in R
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Ми отримали деякі знання про NN в цілому, і те, що було найбільш цікавим для мене були нові типи н. н., які популярні в наш час.
Tea Poklepovic
Курси: Neural Network in R
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Я в основному користувався графи в R:))).
Faculty of Economics and Business Zagreb
Курси: Neural Network in R
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Гнучкий і доброзичливий стиль. Навчання саме те, що було корисним і актуальним для мене.
Jenny Tickner
Курси: Advanced R
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Мені подобалося листи Excel , що надаються з вправи з прикладами. Це означало, що якщо тамільська була проведена допомога іншим людям, я міг би тріщини з наступними частинами.
Luke Pontin
Курси: Data and Analytics - from the ground up
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Навчання як правильно використовувати Excel.
Torin Mitchell
Курси: Data and Analytics - from the ground up
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Те, як тренер зробив складні предмети легко зрозуміти.
Adam Drewry
Курси: Data and Analytics - from the ground up
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Детальна та комплексна інструкція, надана досвідченими та чітко обізнаним експертом з цього питання.
Justin Roche
Курси: Data and Analytics - from the ground up
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Таміл дуже добре обізнаний і приємний чоловік, я дізнався від нього багато.
Aleksandra Szubert
Курси: Data and Analytics - from the ground up
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Мені сподобалася перша сесія. Дуже інтенсивний і швидкий.
Digital Jersey
Курси: Data and Analytics - from the ground up
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Я в основному любив терпіння Таміл.
Laszlo Maros
Курси: Data and Analytics - from the ground up
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Я дійсно отримав вигоду з реальних практичних прикладів життя.
Wioleta (Vicky) Celinska-Drozd
Курси: Data and Analytics - from the ground up
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Відповідаючи на всі теми і зайняти багато часу, щоб відповісти на них.
HSH Nordbank AG
Курси: Prognosen mit R
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Вільних вправ.
Sabine Stammberger
Курси: Prognosen mit R
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Багато знань-теоретичні та практичні.
Anna Alechno
Курси: Forecasting with R
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Я щиро любив свої знання і практичні приклади.
Irina Tulgara
Курси: Forecasting with R
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Огляд і розуміння того, наскільки велика тема.
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
Курси: Forecasting with R
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Хороша взаємодія з тренером, динамічний обмін знаннями
NIIT Limited
Курси: Data Analytics With R
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Руки на прикладах були найбільш корисними.
Sean Kaukas
Курси: Introduction to R
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Майкл тренер дуже добре обізнаний і вміла про предмет Big Data і R. Він дуже гнучкий і швидко налаштувати підготовку клієнтів задоволення потреб. Він також дуже здатний вирішувати технічні проблеми і питання предмета на ходу. Фантастична і професійна підготовка!.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Курси: Programming with Big Data in R
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Мені дуже подобалося введення нових пакетів.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Курси: Programming with Big Data in R
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Репетитор, містер Майкл Ян, дуже добре спілкувався з аудиторією, інструкція була зрозумілою. Викладач також намагається додати більше інформації на основі запитів студентів під час навчання.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Курси: Programming with Big Data in R
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Предмет і темпи були досконалими.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Курси: Programming with Big Data in R
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Go Od огляд R і хороший вибір тем. Тренер був радий відповісти на всі питання.
Symphony EYC
Курси: R
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Мені дуже подобалося знання тренера.
Stephanie Seiermann
Курси: R
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Це був дуже інформативний і професійно проведений. Войтків рівень знань був настільки просунутим, що він міг би в основному відповісти на будь-яке питання, і він був готовий докласти зусиль у підгонки підготовки до моїх особистих потреб.
Sonja Steiner - BearingPoint GmbH
Курси: R Programming for Data Analysis
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Багато вправ, які я можу безпосередньо використовувати в моїй роботі
Alior Bank S.A.
Курси: Sieci Neuronowe w R
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Приклади фактичних даних
Alior Bank S.A.
Курси: Sieci Neuronowe w R
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невралнет, процедура w petli
Alior Bank S.A.
Курси: Sieci Neuronowe w R
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Мені дуже сподобалися вправи на моделювання часових рядів.
Teleperformance
Курси: Data Analytics With R
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Новий інструмент, який "R" і мені цікаво дізнатися існування такого інструменту для аналізу даних.
Michael Lopez - Teleperformance
Курси: Data Analytics With R
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Інструмент був цікавим, і я бачу використання. Хотілося б дізнатися про це докладніше.
Teleperformance
Курси: Data Analytics With R
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Багато практики.
Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Курси: R
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Тренер знання і досвід, різні приклади
Anna Wysocka - Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
Курси: R
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справа була добре представлена і упорядкована.
Marylin Houle - Ivanhoe Cambridge
Курси: Introduction to R with Time Series Analysis
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Він дійсно все добре пояснював і використовував приклади.
royal bank of Canada
Курси: R
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Я насолоджувався самонавчанням через вправи, спільні поради та ярлики.
Competition Bureau
Курси: R for Data Analysis and Research
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Я отримав вигоду з докладних відзначає, щоб зберегти і працювати через після курсу.
Public Health Wales NHS Trust
Курси: Introduction to Data Visualization with Tidyverse and R
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Темп був якраз і невимушена атмосфера, які зробили кандидати відчувати себе невимушено, щоб задати питання.
Rhian Hughes - Public Health Wales NHS Trust
Курси: Introduction to Data Visualization with Tidyverse and R
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Я отримав вигоду з хороших прикладів і можливість слідувати уздовж.
Environmental and Climate Change Canada
Курси: Foundation R
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Я щиро користувався руками пройшли вправ.
Yunfa Zhu - Environmental and Climate Change Canada
Курси: Foundation R
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Тренер, продовольство, і простір були великі.
Canada Revenue Agency
Курси: R
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Мені подобається насправді написання коду з вибіркою даних і анотизації сценарію для подальшого ведення.
Canada Revenue Agency
Курси: R
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Готових сценаріїв, використовуваних для навчального матеріалу було дуже корисно. Інтерактивне навчання дозволило чіткого розуміння кожної теми.
Canada Revenue Agency
Курси: R
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R Language Підкатегорії
R Language Зміст курсу
Назва курсу
Тривалість
Огляд
Назва курсу
Тривалість
Огляд
21 годин
Огляд
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 годин
Огляд
This course is an introduction to applying neural networks in real world problems using R-project software.
7 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
[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 годин
Огляд
This course is part of the Data Scientist skill set (Domain: Data and Technology)
14 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
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 годин
Огляд
This instructor-led, live training in україні (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.
Інші країни
Консалтинг
Online R Language courses, Weekend R Language courses, Evening R Language training, R Language boot camp, R Language instructor-led, Weekend R Language training, Evening R Language courses, R Language coaching, R Language instructor, R Language trainer, R Language training courses, R Language classes, R Language on-site, R Language private courses, R Language one on one training
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