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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-applied-time-series-analysis-forecasting-r-projects-r-tutorials/
课程评论：没有评论
课程名称：应用时间序列分析与R项目预测 课程概述：欢迎进入R语言和时间序列分析的世界！R是当前领先的开源软件，用于时间序列分析和预测，其功能和特点重于其他工具，甚至包括Python。R提供了易于使用的指数平滑、ARIMA模型、时间序列交叉验证、缺失数据处理、可视化和预测功能，因此是进行时间序列分析的理想选择。本课程将通过动手实践的方式，让您在三个具体项目中进行训练和实践。 课程结构：本课程包含三个独特的项目，每个项目都有主要和次要主题，均基于真实数据进行讨论。第一个项目将处理就业率数据，主题包括趋势数据分析和标准及ggplot2时间序列可视化。第二个项目分析德国家庭过去十年每月的通胀率，展示如何对季节性数据集建模并进行时间序列交叉验证。第三个项目则连接R与雅虎财经，抓取股票数据，处理和清洗数据，包括缺失数据的插补，并分析Novartis股票最佳的买卖时机。 学习要求：学生需具备一定的R语言基础，以便顺利跟随课程。对于初学者，可以先参加时间序列分析与预测的入门课程进行逐步引导。两个课程可单独学习，也可结合学习，从不同角度掌握该主题。 课程附带：课程的文本脚本将以文件形式提供，学员还享受标准Udemy课程的各项福利，如30天退款保证、终身访问权、讲师支持以及结业证书。 这是一个实践性强、项目导向的课程，适合希望深度了解时间序列分析的学习者。
Welcome to the world of R and Time Series Analysis! At the moment R is the leading open source software for time series analysis and forecasting. No other tool, not even python, comes close to the functions and features available in R. Things like exponential smoothing, ARIMA models, time series cross validation, missing data handling, visualizations and forecasts are easily accessible in R and its add on packages. Therefore, R is the right choice for time series analysis and this course gives you an opportunity to train and practice it. So how is the course structured? This is a hands on course with 3 distinct projects to solve! Each project has a main topic and a secondary topic. Both are discussed on real world data. In the first project you work with trending data, and as a secondary topic you will learn how to create standard and ggplot2 time series visualizations. The dataset for that project will be an employment rate dataset. The second project with the German monthly inflation rates over the last 10 years shows how to model seasonal datasets. And you will also compare the models with time series cross validation. In the third project you will connect R to yahoo finance and scrape stock data. The resulting data requires loads of pre-processing and cleaning including missing data imputation. Once we prepared the data, we will check out which weekday is the best for buying and selling the Novartis stock. You should know some R to be able to follow along. There is for example the introduction to time series analysis and forecasting course. That course is more a step by step guide while this one is an applied and project based one. Both courses can be taken on their own, or you take a look at both and learn the subject from 2 different angles. As always you will get the course script as a text file. Of course you get all the standard Udemy benefits like 30 days money back guarantee, lifetime access, instructor support and a certificate for your CV.
