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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-time-series-data-analysis-bootcamp-in-r/
课程评论：没有评论
课程名称：R 语言时间序列数据分析全攻略 课程概述：本课程是您在 R 语言中进行时间序列数据分析的完整指南，覆盖了分析时序数据的所有主要方面。随着大数据时代的到来，各家公司纷纷使用 R 语言处理海量信息。通过掌握 R 语言的时间序列数据分析技能，您可以为公司提供竞争优势，并提升自己的职业生涯。 授课人 Minerva Singh，拥有超过 5 年的数据科学经验，曾在牛津大学获得地理和环境学的硕士学位，并在剑桥大学完成博士学位。她在研究中发现，现有的大部分 R 数据科学课程和书籍没有充分考虑多维主题。与其他 R 语言讲师不同，她深入探讨 R 的数据科学特性，为学员提供独特的基础。 课程内容包括： - 数据读取和清洗； - 实施强大的统计和机器学习算法分析时间序列数据； - 探索强大的 R 语言时间序列分析包； - 了解常用技术、可视化方法以及适用于时间序列数据的机器和深度学习技术； - 通过实际案例（如金融时序数据）应用这些框架。 不需要具备 R 语言或统计/机器学习的先前知识，课程从基础开始，使用简单易懂的实践方法简化复杂概念。学员将能够使用真实数据，从而更好地实现 R 基础的数据科学。课程结束后，您将掌握常用的 R 时间序列包，并理解哪些算法和方法最适合您的数据。 现在就加入我的课程吧！
THIS IS YOUR COMPLETE GUIDE TO TIME SERIES DATA ANALYSIS IN R!This course is your complete guide to time series analysis using R. So, all the main aspects of analyzing temporal data will be covered n depth..If you take this course, you can do away with taking other courses or buying books on R based data analysis. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in in analyzing time series data in R, you can give your company a competitive edge and boost your career to the next level. LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:Hey, my name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University. I have +5 years of experience in analyzing real life data from different sources using data science related techniques and i have produced many publications for international peer reviewed journals. Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic. So, unlike other R instructors, I dig deep into the data science features of R and gives you a one-of-a-kind grounding in data science related topics! You will go all the way from carrying out data reading & cleaning to to finally implementing powerful statistical and machine learning algorithms for analyzing time series data.Among other things:You will be introduced to powerful R-based packages for time series analysis. You will be introduced to both the commonly used techniques, visualization methods and machine/deep learning techniques that can be implemented for time series data. & you will learn to apply these frameworks to real life data including temporal stocks and financial data. NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED!You'll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R. My course will help you implement the methods using REAL DATA obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real-life.After taking this course, you'll easily use the common time series packages in R.You'll even understand the underlying concepts to understand what algorithms and methods are best suited for your data. We will work with real data and you will have access to all the code and data used in the course. JOIN MY COURSE NOW!
