オンラインまたはオンサイトのインストラクター主導のライブR（R言語）トレーニングコースでは、Rプログラミングの基礎、高度なRプログラミング、データ分析とデータ視覚化のためのRなど、R言語のさまざまな側面を実践的に実演します。私たちのトレーニング演習では、金融、銀行、保険などの分野における現実の問題と解決策について触れます。NobleProg Rトレーニングコースは初心者コースから上級コースまであり、機械学習およびディープラーニングアプリケーションの開発にRを採用したい企業の間で人気があります。
Rトレーニングは、「オンラインライブトレーニング」または「オンサイトライブトレーニング」として利用できます。オンラインライブトレーニング（別名「リモートライブトレーニング」）は、インタラクティブなリモートデスクトップで行われます。現地でのライブトレーニングは、日本のお客様のオフィスまたは日本のNobleProg提携の企業トレーニングセンターにて実施が可能です。
NobleProg - 現地のトレーニングプロバイダー
お客様の声
彼は非常に有益で助けになりました。
Pratheep Ravy
コース: Predictive Modelling with R
Machine Translated
私はすべての質問に答えています。
Natalia Gladii
コース: Data Analytics With R
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研修後に検討することができる多くの問題
Klaudia Kłębek
コース: Data Mining z wykorzystaniem R
Machine Translated
トレーナーは非常に知識が豊富で、私が興味を持った分野が含まれていました。
Mohamed Salama
コース: Data Mining & Machine Learning with R
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非常にニーズに合わせて調整。
Yashan Wang
コース: Data Mining with R
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私はGunnerと1：1の仕事を真剣に楽しんだ。
Bryant Ives
コース: Introduction to R
Machine Translated
深い機械学習の新しい洞察が好きだった。
Josip Arneric
コース: Neural Network in R
Machine Translated
私たちは一般的にNNについていくつかの知識を得ました。そして、私にとって最も興味深いのは、今日人気のある新しいタイプのNNでした。
Tea Poklepovic
コース: Neural Network in R
Machine Translated
私は主にRのグラフを楽しんだ:)））。
Faculty of Economics and Business Zagreb
コース: Neural Network in R
Machine Translated
フレキシブルでフレンドリーなスタイル。私にとって有用で関連性の高いものを正確に学習する。
Jenny Tickner
コース: Advanced R
Machine Translated
私はエクササイズの例を提供しているExcelシートを楽しんだ。これは、タミル語が他の人を助けてくれるならば、次の部分で打ち砕くことができるということを意味しました。
Luke Pontin
コース: Data and Analytics - from the ground up
Machine Translated
どのように使用するのが適切に優れているかを学ぶ。
Torin Mitchell
コース: Data and Analytics - from the ground up
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トレーナーが複雑なテーマを理解しやすくする方法。
Adam Drewry
コース: Data and Analytics - from the ground up
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経験豊富で知識の豊富な専門家による詳細で包括的な指導。
Justin Roche
コース: Data and Analytics - from the ground up
Machine Translated
タミル語は非常に知識と素敵な人、私は彼から多くを学んだ。
Aleksandra Szubert
コース: Data and Analytics - from the ground up
Machine Translated
私は最初のセッションが好きだった。非常に集中的かつ迅速です。
Digital Jersey
コース: Data and Analytics - from the ground up
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私はたいていタミル語の忍耐を気に入っていました。
Laszlo Maros
コース: Data and Analytics - from the ground up
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私は本当に実生活の実例から恩恵を受けました。
Wioleta (Vicky) Celinska-Drozd
コース: Data and Analytics - from the ground up
Machine Translated
すべてのトピックリクエストに回答し、回答に時間がかかりました。
HSH Nordbank AG
コース: Prognosen mit R
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フリーエクササイズ。
Sabine Stammberger
コース: Prognosen mit R
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多くの知識 - 理論的で実用的。
Anna Alechno
コース: Forecasting with R
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私は本当に彼の知識と実際の例が好きだった。
Irina Tulgara
コース: Forecasting with R
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概要とトピックの大きさを理解する。
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
コース: Forecasting with R
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トレーナーとの良好な相互作用、動的な知識交換
NIIT Limited
コース: Data Analytics With R
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例の手が一番助けになりました。
Sean Kaukas
コース: Introduction to R
Machine Translated
Michael氏のトレーナーは、Big DataとRの主題について非常に精通しており、熟練しています。彼は非常に柔軟で、トレーニング会議の顧客のニーズを迅速にカスタマイズできます。彼はまた、外出先で技術的および主題の問題を解決する能力も非常に高いです。ファンタスティックでプロフェッショナルなトレーニング！
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
コース: Programming with Big Data in R
Machine Translated
私は本当に新しいパッケージの導入を楽しんだ。
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
コース: Programming with Big Data in R
Machine Translated
チューターのマイケル・ヤン氏は聴衆と非常によく交流し、指示は明確でした。また、チューターは、トレーニング中の生徒からのリクエストに基づいて、より多くの情報を追加します。
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
コース: Programming with Big Data in R
Machine Translated
主題とペースは完璧でした。
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
コース: Programming with Big Data in R
Machine Translated
Rの良い概観とトピックの良い範囲。トレーナーはすべての質問に喜んで答えました。
Symphony EYC
コース: R
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私はトレーナーの知識を本当に楽しんだ。
Stephanie Seiermann
コース: R
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それは非常に有益で専門的に開催されました。 Wojteksの知識レベルは非常に進歩しており、基本的に質問に答えることができ、個人的なニーズに合わせてトレーニングに取り組んでいました。
Sonja Steiner - BearingPoint GmbH
コース: R Programming for Data Analysis
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私の仕事で直接使うことができるたくさんの練習
Alior Bank S.A.
コース: Sieci Neuronowe w R
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実データの例
Alior Bank S.A.
コース: Sieci Neuronowe w R
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neuralnet、ループ内のpROC
Alior Bank S.A.
コース: Sieci Neuronowe w R
Machine Translated
私は時系列モデリングの演習が本当に好きでした。
Teleperformance
コース: Data Analytics With R
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新しいツール "R"であり、データ分析のためのツールの存在を知ることは興味深いことがわかります。
Michael Lopez - Teleperformance
コース: Data Analytics With R
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ツールは面白かったし、私はその使用を見る。私はそれについてもっと学びたいと思っています。
Teleperformance
コース: Data Analytics With R
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多くの練習。
Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
コース: R
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トレーナーと経験の実質的な知識、さまざまな例
Anna Wysocka - Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
コース: R
Machine Translated
問題は整然とした様式でうまく提示されました。
Marylin Houle - Ivanhoe Cambridge
コース: Introduction to R with Time Series Analysis
Machine Translated
彼は本当にすべてをうまく説明し、例を使った。
royal bank of Canada
コース: R
Machine Translated
私はエクササイズや共有されたヒントや近道を通して自己学習を楽しんだ。
Competition Bureau
コース: R for Data Analysis and Research
Machine Translated
私はコースの後に維持し、作業するために、詳細なノートの恩恵を得ました。
Public Health Wales NHS Trust
コース: Introduction to Data Visualization with Tidyverse and R
Machine Translated
ペースはちょうどいいし、リラックスした雰囲気の中で、候補者は質問をするのが楽だと感じました。
Rhian Hughes - Public Health Wales NHS Trust
コース: Introduction to Data Visualization with Tidyverse and R
Machine Translated
私は良い例と一緒に従う機会の恩恵を受けることができました。
Environmental and Climate Change Canada
コース: Foundation R
Machine Translated
私は本当に手が渡された練習を楽しんだ。
Yunfa Zhu - Environmental and Climate Change Canada
コース: Foundation R
Machine Translated
トレーナー、食べ物、スペースはすべて素晴らしいものでした。
Canada Revenue Agency
コース: R
Machine Translated
実際にサンプルデータを使用してコードを記述し、後で参照するためにスクリプトに注釈を付けるのが好きです。
Canada Revenue Agency
コース: R
Machine Translated
トレーニング教材に使用されている既製のスクリプトは非常に便利でした。インタラクティブなトレーニングは、各トピックを明確に理解することができました。
Canada Revenue Agency
コース: R
Machine Translated
R言語サブカテゴリ
R言語コース概要
コース名
期間
概要
コース名
期間
概要
21 時間
概要
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 時間
概要
This course is an introduction to applying neural networks in real world problems using R-project software.
7 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
[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 時間
概要
This course is part of the Data Scientist skill set (Domain: Data and Technology)
14 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
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 時間
概要
This instructor-led, live training in 日本 (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.
今後のR言語コース
25-11-2021 10:00
14 時間
30-11-2021 10:00
7 時間
03-12-2021 10:00
7 時間
20-12-2021 10:00
28 時間
20-12-2021 10:00
28 時間
週末R言語コース, 夜のR言語トレーニング, R言語ブートキャンプ, R言語 インストラクターよる, 週末R言語トレーニング, 夜のR言語コース, R言語指導, R言語インストラクター, R言語レーナー, R言語レーナーコース, R言語クラス, R言語オンサイト, R言語プライベートコース, R言語1対1のトレーニング
.jpg "procter & gamble (p&g)")
_ireland.gif "environmental protection agency (epa) ireland")
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