Python for Finance: Investment Fundamentals & Data Analytics — 93% OFF Coupon

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

★4.7 out of 5
143,137 students
Created by 365 Careers
English
Updated April 2026

Quick Facts — Python for Finance: Investment Fundamentals & Data Analytics Overview

Here's a quick overview of everything you need to know about Python for Finance: Investment Fundamentals & Data Analytics before you enroll:

•Course Name: Python for Finance: Investment Fundamentals & Data Analytics
•Platform: Udemy
•Instructor: 365 Careers
•Coupon Last Verified: April 22, 2026
•Level: Beginner
•Topic: Finance & Accounting
•Subtopic: Python
•Total Time: 9h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Learn how to code in Python · Take your career to the next level · Work with Python’s conditional statements, functions, sequences, and loops
•Requirements: 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
•Current Price: $11.99 (was $159.99). You save $148.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
💡
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Skills You'll Master in This Course

By the end of Python for Finance: Investment Fundamentals & Data Analytics, you'll have these practical skills:

✓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.

Prerequisites for This Course

Before enrolling in Python for Finance: Investment Fundamentals & Data Analytics, make sure you have:

•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

About This Udemy Course

The following is the full official course description for Python for Finance: Investment Fundamentals & Data Analytics as published on Udemy by instructor 365 Careers:

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.

Compare Similar Courses

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Is the Python for Finance: Investment Fundamentals & Data Analytics Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 22, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Python for Finance: Investment Fundamentals & Data Analytics is a high-value resource for learners seeking to build skills inFinance & Accounting. Taught by 365 Careers on Udemy, the 9h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $159.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 143,137 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Python for Finance: Investment Fundamentals & Data Analytics:

  • The depth of Finance & Accounting coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Python for Finance: Investment Fundamentals & Data Analytics has earned an aggregate rating of 4.7 out of 5 from 143,137 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.7
★★★★★
143,137 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

About the Instructor — 365 Careers

Python for Finance: Investment Fundamentals & Data Analytics is taught by 365 Careers, a Udemy instructor specializing in Finance & Accounting. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: 365 Careers
•Subject Area: Finance & Accounting
•Teaching Approach: Practical, project-based instruction focused on real-world application of Finance & Accounting skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Python for Finance: Investment Fundamentals & Data Analytics, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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