Python for Finance with Intro to Data Science
Python for Finance with Intro to Data Science
Course Details
- Location
- Online
- Length
- 12 weeks
- Times
- Self-paced
- Cost
- 1,250
Overview
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.
Highlights
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Intro to Data Science
Using the cutting-edge JupyterLab environment, the course covers tabular data using Pandas/NumPy in depth, and demonstrates data visualization using packages such as Matplotlib and Plotly. The course also provides a brief, high-level introduction to Machine Learning packages in Python.
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Tips, Tricks, and Pitfalls
In addition to the course videos and material, there are ever-evolving pointers provided with valuable tips on how to code in a production environment, and common pitfalls to avoid.
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Midterm Case Study
In addition to the rigorous exercises, the midterm case study ties together all the Part 1 concepts into a highly practical project in Asset Backed Security modeling.
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Personal Support
Each student is assigned a personal Teaching Assistant who will provide timely detailed and practical feedback on all code. Instructors are practitioners in finance with years of industry experience.
Exam and Certification
The final exam is proctored online by the TA. Upon successful completion of the course, a Certificate of Completion will be awareded to students who pass the final exam and obtain a 70% or higher average. A Certificate of Completion with Distinction will be awarded to students with 90% or higher average.
Reviews
TryAgain -
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...
David Maltz -
Though I already knew how to code in Python before, this course taught me to code Pythonic!
Aziz -
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.
lucasnutz -
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...
- Published
- 7/7/20
- Page views
- 95,429