本地，有教师的实时R（R语言）培训课程通过实践R语言的各个方面来演示，包括R编程的基础知识，高级R编程和R用于数据分析和数据可视化。我们的培训活动涉及金融，银行和保险等领域的现实世界问题和解决方案。 NobleProg R培训课程涵盖从初级课程到高级课程，深受希望采用R开发机器学习和深度学习应用的公司的欢迎。 R培训可作为“现场实况培训”或“远程实时培训”。现场实地培训可在当地客户现场进行中国或者在NobleProg公司的培训中心中国 。远程实时培训通过交互式远程桌面进行。 NobleProg您当地的培训提供商。
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客户评论
他的信息非常丰富，乐于助人。
Pratheep Ravy
课程: Predictive Modelling with R
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我在所有问题上得到答案..
Natalia Gladii
课程: Data Analytics With R
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培训后可以探索很多问题。
Klaudia Kłębek
课程: Data Mining z wykorzystaniem R
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培训师知识渊博，包括我感兴趣的领域。
Mohamed Salama
课程: Data Mining & Machine Learning with R
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非常适合需求。
Yashan Wang
课程: Data Mining with R
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我真的很喜欢与Gunner一起工作1：1。
Bryant Ives
课程: Introduction to R
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我喜欢深度机器学习的新见解。
Josip Arneric
课程: Neural Network in R
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我们获得了一些关于NN的知识，对我来说最有趣的是现在流行的新型NN。
Tea Poklepovic
课程: Neural Network in R
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我最喜欢R :)））中的图表。
Faculty of Economics and Business Zagreb
课程: Neural Network in R
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灵活友好的风格。准确学习什么对我有用和相关。
Jenny Tickner
课程: Advanced R
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我喜欢提供带有示例练习的Excel表格。这意味着，如果泰米尔语被阻止帮助其他人，我可以继续使用下一部分。
Luke Pontin
课程: Data and Analytics - from the ground up
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学习如何正确使用excel。
Torin Mitchell
课程: Data and Analytics - from the ground up
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培训师使复杂科目易于理解的方式。
Adam Drewry
课程: Data and Analytics - from the ground up
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由经验丰富，知识渊博的专家就此主题提供的详细而全面的指导。
Justin Roche
课程: Data and Analytics - from the ground up
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泰米尔人是一位知识渊博，善良的人，我从他身上学到了很多东西。
Aleksandra Szubert
课程: Data and Analytics - from the ground up
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我喜欢第一次会议。非常密集和快速。
Digital Jersey
课程: Data and Analytics - from the ground up
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我最喜欢泰米尔人的耐心。
Laszlo Maros
课程: Data and Analytics - from the ground up
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我真的受益于现实生活中的实际例子。
Wioleta (Vicky) Celinska-Drozd
课程: Data and Analytics - from the ground up
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回答了所有的主题请求并花了很多时间回答。
HSH Nordbank AG
课程: Prognosen mit R
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免费练习。
Sabine Stammberger
课程: Prognosen mit R
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很多知识 - 理论和实践。
Anna Alechno
课程: Forecasting with R
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我真的很喜欢他的知识和实际例子。
Irina Tulgara
课程: Forecasting with R
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概述和理解主题有多大。
British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA
课程: Forecasting with R
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与培训师良好的互动，知识的动态交流。
NIIT Limited
课程: Data Analytics With R
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动手实例最有帮助。
Sean Kaukas
课程: Introduction to R
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迈克尔培训师对大数据和R的主题非常了解和熟练。他非常灵活，能够快速定制满足客户需求的培训。他也非常有能力在旅途中解决技术和主题问题。神奇而专业的训练！
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
课程: Programming with Big Data in R
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我非常喜欢推出新包装。
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
课程: Programming with Big Data in R
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导师Michael Yan先生很好地与观众互动，指导很明确。导师还可以根据培训期间学生的要求添加更多信息。
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
课程: Programming with Big Data in R
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主题和节奏是完美的。
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
课程: Programming with Big Data in R
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R的良好概述和良好的主题范围。培训师很乐意回答所有问题。
Symphony EYC
课程: R
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我非常喜欢教练的知识。
Stephanie Seiermann
课程: R
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这是非常翔实和专业的举办。 Wojteks的知识水平非常先进，他基本上可以回答任何问题，他愿意努力使培训符合我的个人需求。
Sonja Steiner - BearingPoint GmbH
课程: R Programming for Data Analysis
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很多练习，我可以直接在我的工作中使用。
Alior Bank S.A.
课程: Sieci Neuronowe w R
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真实数据的例子。
Alior Bank S.A.
课程: Sieci Neuronowe w R
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神经网络，循环中的pROC。
Alior Bank S.A.
课程: Sieci Neuronowe w R
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我非常喜欢按时间序列建模的练习。
Teleperformance
课程: Data Analytics With R
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新工具是“R”，我发现知道这种数据分析工具的存在很有意思。
Michael Lopez - Teleperformance
课程: Data Analytics With R
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该工具很有趣，我看到了它的用途。我想了解更多关于它的信息。
Teleperformance
课程: Data Analytics With R
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很多练习。
Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
课程: R
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对培训师和经验的实质性了解，各种例子
Anna Wysocka - Centrum Innowacji ProLearning Agnieszka Kołodziejczyk
课程: R
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这个问题得到很好的介绍并且有条不紊。
Marylin Houle - Ivanhoe Cambridge
课程: Introduction to R with Time Series Analysis
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他真的很好地解释了一切并使用了例子。
royal bank of Canada
课程: R
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我喜欢通过练习自学，共享的提示和快捷方式。
Competition Bureau
课程: R for Data Analysis and Research
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我从详细的笔记中受益, 在课程结束后保持和工作。
Public Health Wales NHS Trust
课程: Introduction to Data Visualization with Tidyverse and R
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节奏恰到好处, 轻松的氛围让考生放心提问。
Rhian Hughes - Public Health Wales NHS Trust
课程: Introduction to Data Visualization with Tidyverse and R
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我从良好的榜样和效仿的机会中受益。
Environmental and Climate Change Canada
课程: Foundation R
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我真的很喜欢通过练习的手。
Yunfa Zhu - Environmental and Climate Change Canada
课程: Foundation R
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教练员、食物和空间都很棒。
Canada Revenue Agency
课程: R
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实际上, 我喜欢用示例数据编写代码, 并对脚本进行注释, 以供将来参考。
Canada Revenue Agency
课程: R
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用于培训材料的预先制作的脚本非常有用。互动培训使人们能够清楚地了解每个主题。
Canada Revenue Agency
课程: R
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R语言子类别
R语言课程大纲
课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
21小时
课程概览
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小时
课程概览
This course is an introduction to applying neural networks in real world problems using R-project software.
7小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
[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小时
课程概览
This course is part of the Data Scientist skill set (Domain: Data and Technology)
14小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
在这一由讲师引导的现场培训中，参与者将学习如何应用机器学习技术和工具来解决银行业的现实问题。R将被用作编程语言。
参与者首先学习关键原则，然后通过建立自己的机器学习模型并使用模型来完成一些现场项目以将所学知识运用到实践中。
受众
- 开发人员
- 数据科学家
- 具有技术背景的银行专业人士
课程形式
- 部分讲座、部分讨论、练习和大量实操
参与者首先学习关键原则，然后通过建立自己的机器学习模型并使用模型来完成一些现场项目以将所学知识运用到实践中。
受众
- 开发人员
- 数据科学家
- 具有技术背景的银行专业人士
课程形式
- 部分讲座、部分讨论、练习和大量实操
28小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
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小时
课程概览
This instructor-led, live training in 中国 (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.
21小时
课程概览
This instructor-led, live training in 中国 (online or onsite) is aimed at data analysts who wish to program in R for Excel.
By the end of this training, participants will be able to:
- Toggle and move data between Excel and R.
- Use R Tidyverse and R features for data analytic solutions in Excel.
- Extend their data analytical skills by learning R.
By the end of this training, participants will be able to:
- Toggle and move data between Excel and R.
- Use R Tidyverse and R features for data analytic solutions in Excel.
- Extend their data analytical skills by learning R.
近期R语言培训课程
05-10-2021 09:30
上海 - 上海中区广场
21 小时
18-10-2021 09:30
上海 - 上海中区广场
21 小时
25-10-2021 09:30
上海 - 上海中区广场
14 小时
01-11-2021 09:30
上海 - 上海中区广场
14 小时
16-11-2021 09:30
上海 - 上海中区广场
7 小时
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