Language:
English
Pages:
1 online resource (1 video file (4 hr., 7 min.))
,
sound, color.
Edition:
[First edition].
DDC:
658.155
Keywords:
Financial risk management
;
Machine learning
;
Python (Computer program language)
;
Instructional films
;
Nonfiction films
;
Internet videos
Abstract:
Python programming knowledge is at the core of financial applications. Knowing Python and modeling will help you to tackle the challenging problems in finance. Besides, learning or improving the modeling skill in finance with Python can enhance your understanding and contribute tremendously to your skill set. Python is a powerful tool in modeling due to its simplicity and robust modeling capabilities. Python includes libraries for mathematical operations, optimization, visualization, manipulation, and so on. Combining these wide range of applications with a user-friendly Python environment, there has been a consensus to say that Python is quite handy in financial modeling. In this video course, modern financial issues will be tackled with step-by-step explanations via Python. To do that, the course is divided into three modules. In the first module, after a brief introduction to Python with functions, iterations, and conditions, the main financial concepts will be discussed. What you'll learn and how you can apply it How to write script for the main functions of Python. What the main financial tools in financial modeling are (as well as Regression, APIs, and required Python libraries). How to tackle main Financial problems with Python. How to interpret the empirical results of the financial model and how to make sense of them. This course is for you because... You're a financial analyst or decision maker in your current role. You want to improve your finance knowledge. You're familiar with Python and specifically want to learn how to adapt Python to Finance while increasing your Python skills. Knowing financial modeling takes you to a whole new level in your career. Prerequisites: Beginner level Python Beginner level of finance knowledge.
Note:
Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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