Coupon & course info
Course Name: Python for Financial Analysis and Algorithmic Trading
Subtitle: Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!
Instructor: Taught by Jose Portilla, Data Scientist
Provided by: Udemy
Price: $195 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of October 20, 2017…
Students: 7,640 students enrolled students enrolled
Ratings: 611 reviews
Rank: ranked #62 in Udemy Development Courses
Brief course description
Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!
This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We’ll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!
We’ll cover the following topics used by financial professionals:
(Read more about this course on the official course page.)
Jose Portilla bio
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: All Levels
Lectures: 118 lessons
Duration: 17 hours of video
What you get: Use NumPy to quickly work with Numerical Data
Target audience: Someone familiar with Python who wants to learn about Financial Analysis!
Requirements: Some knowledge of programming (preferably Python)
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons