Python for Finance: Investment Fundamentals & Data Analytics

Python for Finance: Investment Fundamentals & Data Analytics | Udemy
English | Size: 3.44 GB
Genre: eLearning

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

What you’ll learn
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

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.

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 part 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. This is the best way to reinforce what you have learned.

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 lessons. 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 very soon. Our goal is to create high-end materials that are fun, exciting, career-enhancing, and rewarding.

What makes this training 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 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?

Click ‘Buy now’ to start your learning journey today. We will be happy to see you inside the course.

Who this course is for:
Aspiring data scientists
Programming beginners
People interested in finance and investments
Programmers who want to specialize in finance
Everyone who wants to learn how to code and apply their skills in practice
Finance graduates and professionals who need to better apply their knowledge in Python

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