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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-financial-investment-analysis-in-r-and-tidyquant/
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课程名称：R语言与tidyquant的实用金融投资分析 课程概述：本课程是您进行金融数据分析的完整指南，旨在深入教授如何使用R语言分析现实世界的金融数据。涵盖的内容包括统计学、数据可视化、时间序列分析和机器学习等多个方面。学习完本课程后，您无须再参与其他R数据分析课程或购买相关书籍。在大数据时代，全球范围内的公司都在使用R语言处理海量信息，通过熟练掌握R的金融数据分析，您可以为您的公司提供竞争优势，并将您的职业生涯提升到一个新的高度。 课程讲师Minerva Singh是一位具有5年以上经验的数据科学家，拥有牛津大学的地理与环境硕士学位，并在剑桥大学完成了博士学位。她的研究揭示了许多现有的R数据科学课程和书籍未能考虑到的多维特性，因此她将在课程中深入探讨R的这些数据科学特征，为学员提供独特的学习体验。 在大约3小时的课程中，学员将熟悉获取、清理、可视化和分析金融数据所需的常用R包，以便为自己或公司做出数据驱动的决策。课程包括： - 从雅虎和Quandl等平台获取长期股市数据 - 学习可视化时间金融数据并制作清晰的图表和可视化结果 - 实施标准分析技术，如移动平均和夏普比率 课程重视实际数据的应用，讲师将使用易于理解的实践方法来简化并讲解R编程语言中的复杂概念。完成本课程后，您将能够轻松使用RStudio中的常见时间序列和金融分析包，并理解最适合您数据的算法和方法。此外，您将直接与真实数据进行操作，并获得课程中使用的所有代码和数据。 立即加入我的课程吧！
THIS IS YOUR COMPLETE GUIDE TO FINANCIAL DATA ANALYSIS IN R!This course is your complete guide to analyzing real-world financial data using R All the main aspects of analyzing financial data- statistics, data visualization, time series analysis and machine learning will be covered in 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 proficiently analysing financial 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. Throughout my research, I realised almost all the R data science courses and books out there do not account for the multidimensional nature of the topic. So, unlike other instructors, I dig deep into the data science features of R and give you a one-of-a-kind grounding in data science-related topics! With this course, in around 3 hours, you'll get familiar with some of the most common R packages for obtaining, cleaning, visualizing and analyzing financial data for making data-driven decisions (either for yourself or your company)Among other things:· Obtain long-term stock market data from platforms such as Yahoo and Quandl· Learn to visualize temporal financial data and produce clear graphs and visualizations · Implement standard analysis techniques, including moving averages and the Sharpe ratio.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 the R Programming Language. My course will help you implement REAL DATA methods 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 and financial analysis packages in RStudioYou'll understand the underlying concepts to understand what algorithms and methods best suit 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!
