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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4.89 star(s) 28 reviews
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sungwuk
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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.
Reviewed by Verified Member
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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E
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Practical Python skill and learn how to put a case study project.
I took this course after taking the QuantNet C++ course and really enjoyed learning Python. The course is well structured with Part 1 culminating in a case study project that pulls everything learned about Python together. I found Part 2 very practical in that it teaches how to use NumPy, Pandas, Plotly and other libraries. For me, the videos and code examples were extremely helpful in learning Python.
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A
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Got comprehensive knowledge of Python!
I really wanted to develop a programming skill, so my friend recommend this course to me.
I found this course quite useful, including comprehensive Python programming knowledge. The course provides both fundamental and advanced knowledege, thus making it terrific for beginners to follow up. I was a neophyte in coding before I took this lesson, but now I am able to code as convoluted as ABS model. And I give credits to both the course material and the help of the TA. The homework for the lesson is not something we can palter with. It is really extensive and demanding, and I had to spend countless hours working on it! I had to finish the homework based on the lessons I learnt. I put them into experience. And that is the reason why I got a comprehensive of the knowledge. The homework only told me about the structure of what I should do, so I had to come up with the syntax by myself, leaving me room to think and providing me with the opportunity to hone the programming skills. Sometimes, when I got confused, the forum and TA really helped me a lot. I got timely help from my TA, and the fellow students who learnt this lesson before. I managed to solve the question with their guidance. I really learnt a lot through this course, and it is really a good experience."
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Zihao_Liu
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Great experience in learning Python
I've learnt the basic syntax and more advanced applications in Python and some useful libraries like numpy and pandas. Through this couse, I found myself more confident in coding with Python, and I'm now equipped with the skills to manipulate data and do machine learning through Python coding.
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