Python for Finance: Investment Fundamentals & Data Analytics

4.5 (17150)
Онлайн-курс
Payment
Обучение платное
Language
Английский
Duration
8.5 часов курса
Курс от Udemy
Чему вы научились?
Learn how to code in Python
Take your career to the next level
Work with Python’s conditional statements, functions, sequences, and loops
Work with scientific packages, like NumPy
Understand how to use the data analysis toolkit, Pandas
Plot graphs with Matplotlib
Use Python to solve real-world tasks
Get a job as a data scientist with Python
Acquire solid financial acumen
Carry out in-depth investment analysis
Build investment portfolios
Calculate risk and return of individual securities
Calculate risk and return of investment portfolios
Apply best practices when working with financial data
Use univariate and multivariate regression analysis
Understand the Capital Asset Pricing Model
Compare securities in terms of their Sharpe ratio
Perform Monte Carlo simulations
Learn how to price options by applying the Black Scholes formula
Be comfortable applying for a developer job in a financial institution
О курсе

Do you want to learn how to use Python in a 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 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
  • 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.

Is there a better way to reinforce what you have learned in the first part of the course?

This course is great, even if you are an experienced programmer, as we will teach you a great deal about the finance theory and mechanics you will need if you start working in a finance context.     

Teaching is our passion.

Everything we teach is explained in the best way possible. Plain and clear English, relevant examples and time-efficient videos. Don’t forget to check some of our sample videos to see how easy they are to understand.   

If you have questions, contact us! We enjoy communicating with our students and take pride in responding within the 1 business day. Our goal is to create high-end materials that are fun, exciting, career-enhancing, and rewarding.    

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.
  • Course Challenge: Solve our exercises and make this course an interactive experience.
  • Excellent support: If you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day.
  • Dynamic: We don’t want to waste your time! The instructors set a very good pace throughout the whole course.

Please don’t forget that the course comes with Udemy’s 30-day unconditional, money-back-in-full guarantee. And why not give such a guarantee, when we are convinced the course will provide a ton of value for you?

Just subscribe to this course! If you don't acquire these skills now, you will miss an opportunity to separate yourself from the others. Don't risk your future success! Let's start learning together now!

Программа
Welcome! Course Introduction
What Does the Course Cover?
In this video, we will discuss:
  • who are the instructors of the course
  • what the course is about
  • who it is for
  • the wide range of topics covered in this course
Download Useful Resources - Exercises and Solutions
Learn how to navigate in the Course Content section and find the resources available for all lectures.
Introduction to programming with Python
Programming Explained in 5 Minutes
In this lesson, we will explain what you must know about programming if you are just getting started.
Programming Explained in 5 Minutes
Why Python?
Python is a programming language characterized as:
  • open-source
  • general-purpose
  • high-level
Why Python?
Why Jupyter?
You must install Python and Jupyter on your computer. If you have them, you can still complete this lecture, because we will say a few interesting things about Jupyter.
Why Jupyter?
Installing Python and Jupyter
There are various ways to install Python on your computer. But especially for new users, it is highly recommended to choose Anaconda. It will install, not only Python, but also the Jupyter Notebook App and many scientific computing and data science packages.
Jupyter’s Interface – the Dashboard
In this lesson, we’ll do a quick tour of the Jupyter dashboard. You’ll see how to:
  • manipulate files and folders in the Jupyter dashboard
  • upload and open Python files in Jupyter
  • create new Python files in Jupyter
Требования
  • You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course
  • All software and data used in the course is free
Лекторы
365 Careers
365 Careers
Creating opportunities for Business & Finance students
Платформа
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Курсы Udemy подойдут для профессионального развития. Платформа устроена таким образом, что эксперты сами запускают курсы. Все материалы передаются в пожизненный доступ. На этой платформе можно найти курс, без преувеличений, на любую тему – начиная от тьюториала по какой-то камере и заканчивая теоретическим курсом по управлению финансовыми рисками. Язык и формат обучения устанавливается преподавателем, поэтому стоит внимательно изучить информацию о курсе перед покупкой.
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