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The Fundamental of Data-Driven Investment に戻る

成均館大学校 (Sungkyunkwan University) による The Fundamental of Data-Driven Investment の受講者のレビューおよびフィードバック

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In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided. The course is designed with the assumption that most students already have a little bit of knowledge in financial economics. Students are expected to have heard about stocks and bonds and balance sheets, earnings, etc., and know the introductory statistics level, such as mean, median, distribution, regression, etc. The instructor will explain the detail of R programming for beginners. It will be an excellent course for you to improve your programming skills. If you are very good at R programming, it will provide you an excellent opportunity to practice again with finance and investment examples. Professor Youngju Nielsen creates the course with the assistants of Keonwoo Lim and Jeeun Yuen. =========================================================================================== Coursera Course recommendations before this course for those who are not familiar with basic R programming: <Getting Started with R> https://www.coursera.org/projects/getting-started-with-r <Introduction to Business Analytics with R> https://www.coursera.org/learn/business-analytics-r <Statistics with Python > https://www.coursera.org/specializations/statistics-with-python...

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The Fundamental of Data-Driven Investment: 1 - 2 / 2 レビュー

by RENATO V M S

2021年5月22日

Great course and amazing teacher !!!

I consider it not easy at all for beginners, like me, but very challenging and interesting.

by Dhruv U

2021年6月28日

Best Course to get acquainted with data analytics in Finance.