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Python for Finance: Investment Fundamentals & Data Analytics

Python for Finance: Investment Fundamentals & Data Analytics

Learn Python Programming and Running Real-World Financial Analysis in Python - Complete Python Training and Instruction  Python for Finance: Investment Fundamentals & Data Analytics

What you'll learn

  • Work with Python’s conditional statements, functions, sequences, and loops
  • Learn how to code in Python
  • Understand how to use the data analysis toolkit, Pandas
  • Use Python to solve real-world tasks
  • Acquire solid financial acumen
  • Get a job as a data scientist with Python
  • Calculate risk and return of individual securities

Requirements

  • All software and data used in the course is free

Description

We are proud to present Python for Finance: Investment Fundamentals and Data Analytics – one of the most interesting and complete courses we have created so far. It took our team slightly over four months to create this course, but now, it is ready and waiting for you.

An exciting journey from Beginner to Pro.

If you are a complete beginner and you know nothing about coding, don’t worry! We start from the very basics. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks.

Finance Fundamentals.

And it gets even better! The Finance block of this course will teach you in-demand real-world skills employers are looking for. To be a high-paid programmer, you will have to specialize in a particular area of interest. In this course, we will focus on Finance, covering many tools and techniques used by finance professionals daily:

  • Rate of return of stocks
  • Risk of stocks
  • Rate of return of stock portfolios
  • Risk of stock portfolios
  • Correlation between stocks
  • Covariance
  • Diversifiable and non-diversifiable risk
  • Regression analysis
  • Alpha and Beta coefficients
  • Measuring a regression’s explanatory power with R^2
  • Markowitz Efficient frontier calculation
  • Capital asset pricing model
  • Sharpe ratio
  • Multivariate regression analysis
  • Monte Carlo simulations

What makes this course different from the rest of the Programming and Finance courses out there?

  • This course will teach you how to code in Python and apply these skills in the world of Finance. It is both a Programming and a Finance course.
  • High-quality production – HD video and animations (this isn’t a collection of boring lectures!)
  • Knowledgeable instructors. Martin is a quant geek fascinated by the world of Data Science, and Ned is a finance practitioner with several years of experience who loves explaining Finance topics in real life and here on Udemy.
  • Complete training – we will cover all the major topics you need to understand to start coding in Python and solving the financial topics introduced in this course (and they are many!)
  • Extensive Case Studies that will help you reinforce everything you’ve learned.

Enroll Now Udemy Course

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