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Python for Finance: Investment Fundamentals & Data Analytics (Udemy.com)

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

4.5
29,563 reviews

Created by: 365 Careers

Last updated June 2026

Our take

Based on the ratings of 29,563 students, a sample of their written reviews and the syllabus, as the course stood in June 2026. No course pays to be reviewed.

Half Python primer, half intro to investment theory. This 365 Careers course spends its first ten sections teaching Python from nothing, then applies it to rates of return, portfolio risk, regressions, Markowitz optimization, CAPM, Monte Carlo and Black Scholes. That is about 9.4 hours of video across 143 lectures, backed by 153 coding exercises and 205 quizzes. Nearly 147,000 students have enrolled. It suits people with a finance interest who have never coded, and coders who want the finance theory collected in one place. It is not a deep Python course, and not a deep finance course either.

Reviewers like the clear, short lectures and the sheer amount of practice; several say they started knowing nothing about Python and kept up fine. The finance sections get credit for pairing theory with code. The complaint that runs through the low-star reviews is age: the data import lectures still lean on old Yahoo and IEX calls through pandas_datareader, and one student reports swapping in yfinance from around lecture 62. Two say the coding exercises ask for things the videos never covered, and one adds that some solutions are missing. One reviewer with a stats background felt the finance theory was rushed for true beginners.

The listing shows an update in June 2026, but reviews from this summer still flag broken data connections, so expect to patch some code yourself. It is as much a programming course as a finance one, and that pairing is the reason to pick it. If you can tolerate fixing a few API calls, it's a solid, well-paced route into quant-style analysis. Beginners who need everything to just run should look elsewhere.

Best forFinance-minded beginners who want to learn Python and portfolio theory in one go, and don't mind fixing a few old API calls.
Skip it ifYou want a course whose data-download code runs as recorded, or you already know pandas and want deeper quant methods.

Pros

  • Python basics are taught from scratch in short lectures that reviewers say non-coders can follow
  • Finance topics are explained in theory first, then coded: CAPM, Sharpe, Markowitz, Monte Carlo, Black Scholes
  • 153 coding exercises and 205 quizzes give plenty of hands-on practice, which reviewers repeatedly praise
  • Nearly 147,000 students and a 4.5 rating from over 29,000 reviews

Cons

  • Data import lectures still use old Yahoo and IEX calls via pandas_datareader; one reviewer switched to yfinance
  • Some coding exercises test things the videos didn't cover, and one reviewer found solutions missing
  • Finance theory moves fast; one reviewer says beginners without a stats background may struggle
Good classes and exercises. However, the information is little outdated.
Fuad Aliyev, a student

Listed as All Levels; the Python half truly starts from zero, but the finance half assumes comfort with basic statistics.

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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

Course content

20 sections · 143 lectures · 9.4 hours of video 205 quizzes, 153 coding exercises, 2 articles

  1. 1Welcome! Course Introduction 1 free preview2 lectures · 8 min
  2. 2Introduction to Programming with Python10 lectures · 4 quizzes · 44 min
  3. 3Python Variables and Data Types 1 free preview6 lectures · 17 quizzes · 26 min
  4. 4Basic Python Syntax7 lectures · 23 quizzes · 12 min
  5. 5Python Operators Continued2 lectures · 12 quizzes · 8 min
  6. 6Conditional Statements 1 free preview4 lectures · 7 quizzes · 14 min
  7. 7Python Functions7 lectures · 16 quizzes · 19 min
  8. 8Python Sequences5 lectures · 29 quizzes · 19 min
  9. 9Using Iterations in Python8 lectures · 14 quizzes · 26 min
  10. 10Advanced Python tools 1 free preview15 lectures · 5 quizzes · 1 hour

Who it is for

The instructor says it suits

  • 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

What you need before you start

  • 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

How it compares

Against the other 388 rated Udemy courses in Python on CourseDuck:

  • Rating4.5 out of 5higher than 52% of them
  • Reviews29,563#15 of 389 by number of reviews
  • Length9.4 hoursshorter than 52% of them
  • Last updatedJune 2026more recently than 90% of them

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Course Description


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.

Read More All Levels All Levels product length iconTime: 9.4h

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Instructor Details

365 Careers

365 Careers is the #1 best-selling provider of business, finance, data science and AI courses on Udemy. The company’s courses have been taken by more than 4,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.    

Currently, 365 focuses on the following topics on Udemy:    1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA

2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

Read More

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Reviews

4.5

29,563 ratings on Udemy

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Write a review

By Shreyas on 7/20/2026

The course is really interesting and easy to understand. I had a good and enjoyable experience so far in this course. The course instructor is also really good and provides clarity in his lecture as well.

By Alessio Giay on 6/29/2026

Rivedrei gli esercizi, fornendo lo scheletro di tutta la sezione da riempire andando avanti con le lezioni e non dividendole in più pezzi, che vanno riaggiornati di volta in volta. Per il resto è un bel corso

By ANANTHAKUMARA H R on 4/2/2026

While the technical exercises are rigorous for non-coders, the course is designed in a way that keeps you motivated. Successfully navigating the logic is rewarding and makes the learning process truly exciting.

By Keramidas Vasileios on 3/20/2026

Everything is perfect, except the fact that the way tuttor sugests an online file should open does not work! They should have updated those videos in order to deal with such confussions.

By Selaelo Molotja on 2/10/2026

it is a good course theory wise, but get ready to learn even more after because the how you write the code now has changed from then, in my own experience. But still a good course for basic understanding of coding in finance.

By Anonymized User on 1/29/2026

I got a good insight about how python will help in finance field and how much time we can save with the pre-programing of complicated problems to solve easily.

By Matthew O'Donnell on 1/13/2026

I have been listing to the explanations and they are frankly great! Applying it in python is also good - but I have had trouble with the pandas dataloader so I have used yfinance. Very similar.

By Dev Gandhi on 11/30/2025

the course is good but the only issue is that when we have to import the data in python from online, the lecture guides us to download it via a method which does not work and gives a error. I have to learn by myself how to get data of stocks from online through ai of java. I used yfinance which again has some issue of showing the Adjusted closing price. So please remake the lectures where there is a way to extract data from online using a method which can work all the time.

By Pushpa Devi on 11/20/2025

Some problems have solutions provided in the explanation that are incorrect, and sometimes what you learn from the chapter is not applicable. If you want to write code according to that, it is not accepted. You have to write the same code. I enjoyed the course, but some chapters can be more elaborate.

By Anthony Palles on 11/10/2025

practical knowledge obtained though can use tools to do the work for you but was very good to have hands on practice to code even if one would not be doing it.

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Overall Score : 90 / 100

Python for Finance: Investment Fundamentals & Data Analytics
Visit course on Udemy Write a review
  • Video Duration: icon 9.4h
  • Price: $174.99
  • Provider: icon Udemy
  • Updated: icon June 2026
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
  • Lectures:143 in 20 sections
  • Practice:205 quizzes, 153 coding exercises
  • Students:146,900
  • Subtitles:10 languages
  • Udemy badge:Bestseller
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