Python for Finance: Investment Fundamentals & Data Analytics

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

4.53 (27119 reviews)
Udemy
platform
English
language
Financial Modeling & Ana
category
instructor
Python for Finance: Investment Fundamentals & Data Analytics
131,237
students
9 hours
content
Feb 2024
last update
$149.99
regular price

What you will 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

Why take this course?


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.

Screenshots

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Our review

🌟 **Global Course Rating**: 4.50 / 5 **Recent Reviews Synthesis** **Pros:** - The course provides a solid foundation in Python for beginners, covering key basic concepts well. ([Review](#)) - It offers valuable information and a good understanding of essential libraries used in the finance sector. ([Review](#)) - Exposure to complex financial models like Black-Scholes and Monte Carlo simulations is beneficial. ([Review](#)) - The course structure is clear, easy to follow, and well-organized, even for beginners with limited experience. ([Review](#)) - Practical exercises are available to enhance learning and improve Python skills. ([Review](#)) - The workflow is impressive, starting from the basics and building up to more complex topics. ([Review](#)) - Some users found the course helpful and useful, with positive feedback on the presentation and organization of the material. ([Review](#)) - The course's pace is good, and it is well-structured to achieve the learner's objectives at a tolerable pace. ([Review](#)) **Cons:** - The course contains outdated references, particularly with the Yahoo Finance API, which can be misleading for new learners. ([Review](#)) - Some users reported that coding exercises provided in the course may not work due to deprecated libraries or lack of flexibility in accepting answers. ([Review](#)) - The course spends time on basic Python installation and functions which could be considered a waste of time for learners who are already familiar with Python 2. ([Review](#)) - There is a notable absence of practical examples, making the course extremely boring and tedious for some users. ([Review](#)) - The AI-generated recording style of voiceover can be monotonous and detract from the learning experience. ([Review](#)) - Some libraries mentioned in the course are no longer available, which could confuse learners who attempt to follow along with the videos. ([Review](#)) - A few users found the course lacked practical exams or comprehensive testing to assess understanding across multiple lessons. ([Review](#)) - The course's relevance is compromised due to its outdated references, making it not recommended by some users. ([Review](#)) **Neutral Feedback:** - Half of the course content focuses on basic Python concepts, which might be redundant for learners with prior programming knowledge. ([Review](#)) **Summary:** This course is generally well-received for its comprehensive coverage of Python basics and its application in finance. However, several users point out that the course would greatly benefit from updating its references and examples to reflect current technologies and practices. The lack of practical exams or flexible coding exercises is also a concern for some learners. Despite these issues, many users appreciate the course's structured approach to learning Python, especially for those new to programming or looking to apply their skills in finance.

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Coupons

DateDiscountStatus
1/27/202192% OFF
expired
1035472
udemy ID
12/8/2016
course created date
6/28/2019
course indexed date
Bot
course submited by