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Python for Finance: Investment Fundamentals and Data Analytics

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training

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Do you want to learn how to use Python in a real working environment?

Are you a young professional interested in a career in Data Science?

Would you like to explore how Python can be applied in the world of Finance and solve portfolio optimization problems?

If so, then this is the right course for you!

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 A-Z.

If you are a complete beginner and you know nothing about coding, don’t worry! We will start from the very basics. The first part of the course is ideal for beginners and people who want to brush up 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
  • Using Monte Carlo in a Corporate Finance context
  • Derivatives and type of derivatives
  • Applying the Black Scholes formula
  • Using Monte Carlo for options pricing
  • Using Monte Carlo for stock pricing

Everything is included! All these topics are first explained in theory and then applied in practice using Python.


Your Instructor


365Careers
365Careers
365 Careers is a firm specializing in high-end business, financial, data science, and office productivity training programs. Our growing list of courses includes Excel (Microsoft Excel for Beginner and Advanced users), PowerPoint, Word, Outlook, Accounting, Finance 101, Investment Banking, Financial Modeling, Company Valuation, Financial Planning & Analysis, Job Hunting, Strategy, Management, Marketing, Decision Making and Negotiation, and Python trainings. Our goal is to provide to our students the practical instruments they will need in order to perform successfully at their future workplace.

Class Curriculum


  Welcome! Course Introduction
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  Python Variables and Data Types
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  Python Operators Continued
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We're committed to providing the best online learning experience on the Web! If you experience an issue, contact us within 7 days and we'll be happy to help.

Get started now!