Python for Finance with Intro to Data Science

Python for Finance with Intro to Data Science

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Whether you're new to coding, have some Python experience, or are a programming expert, this course is designed for you. You'll gain hands-on Python skills and develop real-world projects with the support of a personal TA for guidance and detailed code reviews.

Master Python with a focus on practical applications in Finance, Financial Engineering, and Data Science. Taught by industry experts, this course uses advanced tools like PyCharm, Anaconda, and Jupyter Lab for efficient and effective learning.
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4.90 star(s) 31 reviews
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Gaboribero
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Perfect Python course
The course is perfectly structured, I liked the idea of transitioning from python to machine learning at the end after the case study. It is very well organized and the instructor Avi Palley explains perfectly all the subjects. I will be coming back for other courses.
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warlock
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Great Python course!
MFE Pre-requisite. Great course for enhancing understanding of advanced python.
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Kimi Ma
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QuantNet Python course review!
Just like the C++ course, I consider this one of the most useful courses I have ever taken. The entire course introduced many very practical Python and data analysis skills, and also served as an introduction to machine learning, making it much easier for me to further pursue related topics.
Additionally, the ABS model project from this course was very appealing, both to me and to interviewers. I included this project experience separately in my resume, and when I applied for finance and engineering internships, I found that the interviewers were very interested in this project, which undoubtedly increased my chances of success in the applications.
Finally, I would like to express my gratitude to all the instructors, especially my TA, for the support they provided throughout the course.
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TryAgain
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Excellent experience
I did not have any background in coding, c++ or python. I have heard a lot about it but did not know where to start as they have a vast amount of courses out there and it really hard to know which are useful / fundamentals to learn. It was great to go through the courses here, as in many examples in this course showed how c++ and Python can be used in terms of financial application. I don't regret taking these two courses and will definitely come back to refresh my knowledge about the topics learned.
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David Maltz
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This course taught me to code Pythonic!
Though I already knew how to code in Python before, this course taught me to code Pythonic!
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Aziz
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Learn Python with Data Science
My friends suggested this course to me. I looked over it and decided to take it because I wanted to learn Python with Data Science. That is exact course I wanted.
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lucasnutz
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The best programming class i have taken in a long time!
It's simple, the class was the best programming class i have taken in a long time. The structure it follows is very similar to the C++ one, so having that background certainly helps the student understand the concepts better, but definitely not necessary. The development of the topics goes really quick, so one needs to be super engaged throughout the course, and be committed to the end for sure, it's quite challenging but yet rewarding at the same time. I 100% would recommend this to anybody who is interested in learning how to code as a quant.
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X
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Excited to take the Python course after finishing the C++ course.
I finished the C++ course in the summer of 2023. I think this kind of course is interesting, so I’m really excited to take the Python course.
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Paul Lopez
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This course is exactly what I'm looking for in a Python course.
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Coming from a C++ background but still seeing tons of Python at work, I really needed a structured approach to sharpen up my Python. Sir Avi's course was exactly what I was looking for. Not only was I able to learn some of the more advanced and tricky topics that are more Python specific, but he also gave me lots of advice and help in making my Python code more idiomatic or 'Pythonic'. I always feel like my Python is essentially C++ with Python syntax.
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G
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Highly recommend for quant masters
It's been a challenging but great learning process. Course is well designed and h/w help to better understand the theoretical concepts. Even though the TA was always ready to help and answer a lot of even trivial questions you need to be ready to research on your own (sometimes a lot), read some tutorials in order to grasp a full understanding of particular idea. All in all, I would recommend this course especially if you're about to do quant masters.
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