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Python for Finance: Investment Fundamentals & Data Analytics

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
(23,127 reviews)
108,096 students
Created by


CourseMarks Score®







Platform: Udemy
Video: 8h 50m
Language: English
Next start: On Demand

Top Python courses:

Detailed Analysis

CourseMarks Score®

9.7 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.7 / 10
This course was last updated on 11/2021 .

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.5 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.4 / 10
Video Score: 8.8 / 10
The course includes 8h 50m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 24 minutes of 1300 Python courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
42 resources.
0 exercise.
0 test.

Table of contents


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 
•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!

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


• 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

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

How much does the Python for Finance: Investment Fundamentals & Data Analytics course cost? Is it worth it?

The course costs $22.99. And currently there is a 82% discount on the original price of the course, which was $129.99. So you save $107 if you enroll the course now.
The average price is $19.0 of 1300 Python courses on Udemy.

Does the Python for Finance: Investment Fundamentals & Data Analytics course have a money back guarantee or refund policy?

YES, Python for Finance: Investment Fundamentals & Data Analytics has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Python for Finance: Investment Fundamentals & Data Analytics course, but there is a $107 discount from the original price ($129.99). So the current price is just $22.99.

Who is the instructor? Is 365 Careers a SCAM or a TRUSTED instructor?

365 Careers has created 77 courses that got 479,712 reviews which are generally positive. 365 Careers has taught 1,622,075 students and received a 4.6 average review out of 479,712 reviews. Depending on the information available, 365 Careers is a TRUSTED instructor.
Creating opportunities for Business & Finance students
365 Careers is the #1 best-selling provider of business, finance, and data science courses on Udemy. The company’s courses have been taken by more than 1,500,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.    

Currently, the 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

5) Blockchain for Business

All of our courses are:  

– Pre-scripted  

– Hands-on    

– Laser-focused   

– Engaging   

– Real-life tested   

By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.  

If you want to become a financial analyst, a data scientist, a business analyst, a data analyst, a business intelligence analyst, a business executive, a finance manager, an FP&A analyst, an investment banker, or an entrepreneur365 Careers’ courses are the perfect place to start. 


CourseMarks Score®







Platform: Udemy
Video: 8h 50m
Language: English
Next start: On Demand

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