Python for Finance

Python

At the bedrock of finance lies mathematics and at the bedrock of computational mathematics lies Python. Python is not only one of the world’s most recognized languages in the finance industry but also a tool to create winning investment strategies. In consultation with our experts and Shrex Group’s Chief Financial Officer, we created this one-of-a-kind course to help you learn the basic application of python in finance.

If you have great investment ideas but don’t know how to write them, or if you think you need to learn some basic skills in quantitative finance, then this is a good starting point. The series is broken into three parts: python, math and statistics, basic financial concepts related to investment and financial time series analysis.

Learn:

  • The basics of Python & OOP
  • Quantitative Finance
  • Time-series Analysis
  • Market Risk Analysis
  • and much more…

If you are looking to get started with quantitative finance using python then this is the course for you.

NOTE: It requires a basic understanding of financial markets.

Let’s go quant!

1
Intro to Financial Python
20 Mins

Python

1
Data Type & Structures
45 Mins
2
Loops & Logical Operations
45 Mins
3
Object Oriented Programming
45 Mins
4
Getting Started with Pandas & NumPy
30 Mins
5
DataFrame & Resampling
60 Mins

Mathematics & Statistics

1
Mean, Variance & Rate of Return
60 Mins
2
Random Variable & Distributions
70 Mins
3
Confidence Variable & Hypothesis Testing
60 Mins
4
Simple Linear Regression
60 Mins
5
Multiple Linear Regression & Residual Analysis
60 Mins
6
Linear Algebra
80 Mins

Finance

1
Modern Portfolio Theory
100 Mins
2
Market Risk Factorization
60 Mins
3
Fama-French Multi-factor Model
40 Mins
4
Conclusion
10 Mins

Assessment

1
Final Assesment: Financial Python
16 questions
Financial Engineering is a very complicated subject and cannot be taught over a course. So, No. You won't become a financial engineer but you will definitely start walking on that path.
No. This is your entry into quant programming.
Knowledge never hurts. You can take this course with a rudimentary understanding of the markets as well.

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Enrolled: 1144 students
Duration: 30-40 Hours
Lectures: 16
Level: Intermediate
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Python for Finance
Price:
₹6,999 ₹999