在线或现场、由讲师指导的实时 R（R 语言）培训课程通过实践练习演示 R 语言的各个方面，包括 R 编程基础知识、高级 R 编程以及用于数据分析和数据可视化的 R。我们的培训练习涉及金融、银行和保险等领域的现实问题和解决方案。 NobleProg R 培训课程涵盖从初级课程到高级课程，在希望采用 R 开发机器学习和深度学习应用程序的公司中很受欢迎。 R 培训可作为“在线实时培训”或“现场实时培训”。在线实时培训（又名“远程实时培训”）是通过交互式远程桌面进行的。现场实时培训可以在 中国 中的客户场所本地进行，也可以在 中国 中的 NobleProg 公司培训中心进行。 NobleProg——您当地的培训提供商
R 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.
Developers / data analytics
Lectures and Hands-on
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
What should happen?
turning data into evidence-based business decisions
The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
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.
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
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice