The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, you will have acquired the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts, but also on practical applications and implementation. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language through a series of dedicated lab sessions.
Investment Management with Python and Machine Learning 专项课程
来自INVESTMENT MANAGEMENT WITH PYTHON AND MACHINE LEARNING的热门评论
really interesting applications and good examples. More breadth than depth but a great guide as to what the state of the art is in applying machine learning to more alternative forms of data.
would be good to focus more on the jupyter notebooks and less on multiple choice. Really interesting notebooks and quite advanced / technical material which deserves more time and coverage.
The course is great, I enjoyed very detailed Python labs, they taught me a lot. But almost no support from the staff in the forums. If you don't understand something, you are on your own.
Very useful course that covered some simple investment strategies and taught you to implement it using python. Recommended to those who want to enter the quantitative investment world.
One of the most hardcore, challenging but knowledge-harvesting courses that I ever had.\n\nHighly recommend, and you will be better off if you type in all codes VJ did simultaneously.
The course is excellent, one of the best finance courses on coursera, but you should know in advance that you will not have any help from the staff, at least that was my experience.
This is one of the best online courses which combines the knowledge of Finance and Python. In fact, with python as a tool, I can have a better understanding of the theory behind it.
I like the way instructors explained difficult topic and digest it to simple way. The coding side was also impressive. WIth novice background in Python, I would able to understand.
此课程是 100% 在线学习吗？是否需要现场参加课程？
Approximately 4 months to complete
What background knowledge is necessary?
This digital Specialization program is meant to be self-contained and no prior knowledge or Python or portfolio analysis is assumed or required. On the other hand, learners are expected to show a good dose of enthusiasm for, and interest in, the subject of data science applied to investment management.
Do I need to take the courses in a specific order?
We encourage you to complete the whole series, starting with “Introduction to portfolio construction and analysis with Python” and “Advanced portfolio construction and analysis with Python”, before taking the “Python Machine-learning for investment management” course. Then, you will be able to put final touch on your understanding of how new data science techniques can be used in investment decisions by taking the course “Python machine-learning for investment management with alternative data sets”.
What will I be able to do upon completing the Specialization?
Upon completing the Specialization, learners will be able to build their own custom Python code and use existing Python libraries to optimize portfolios and implement sophisticated risk measurement and risk management techniques. They will also be able to use powerful machine learning techniques applied to traditional or alternative data sets to implement improvement investment decisions.