4 Best Python for Finance Courses [2021 SEPTEMBER]

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If you are willing to learn Python for finance courses, then here is a list of Best Python for Finance Courses, Classes, Tutorials, Training, and Certification programs available online for 2021. This list includes both free and paid courses to help you learn Python. Also, it is ideal for beginners, intermediates, and expert individuals.


4 Best Python for Finance Courses [2021 SEPTEMBER]

1. Python for Finance Investments Fundamentals (Udemy)

This course is specially designed for beginners who do not know to code. In this course, first, you will get introduced to the basics of Python programming language, and then move on to tackle financial calculations and portfolio optimization tasks. The instructors of the course will help you learn the skills that are highly required by employers in the Financial Analysis sector. After covering the basics of Python, you will be focused on learning Finance while covering essential topics like Risk of stocks, Covariance, Regression analysis, Sharpe ratio, Monte Carlo simulations, and many more. You can also access other financial analysis courses as well. Completing the course given assignments will provide you a certificate of completion.


Key USPs –

– Learn about basics as well as advanced Python programming techniques and apply those skills to the different scenarios of Finance

– Cover all major topics that you need to understand the coding in Python and solving the financial topics that will be introduced in the course

– Learn and get assistance from two amazing instructors who will help you learn in an efficient way at every stage of learning

– Included with high-quality videos, animations, assignments, hands-on projects, and much more to help you get equipped with the topics


Duration: 9-10 hours

Rating: 4.5 out of 5

You can Sign up Here


Review: It was a good learning experience and would like to have more exercise for data manipulation. – Gaurav Kumar Kuree



2. Python for Finance and Algorithm Trading (Udemy)

It is an introductory course that will guide you through everything that you need to learn Python programming, and then using it for finance and algorithm trading. You will start with learning the fundamentals of Python, and then move to learn the core libraries that are used in Py-Finance Ecosystem, such as pandas, Jupyter, statsmodels, Quantopian, and many more. During the course, you will cover a variety of topics, such as Python fundamentals, Pandas for efficient data analysis, stock returns analysis, Sharpe ratio, Matplotlib for data visualization, and many more. The course is included with video lectures, quizzes, and hands-on exercises to help you understand the core concepts clearly.


Key USPs –

– A comprehensive course that will give you access to all the material that you need to learn Python for Finance

– Learn how to NumPy for working with Numerical data, Matplotlib for creating custom plots, and Pandas for analyzing and visualizing data

– Learn how to calculate financial statistics, such as Daily Returns, Cumulative Returns, Volatility, Sharpe Ratio, etc.

– Understand how Python can be used to conduct rigorous financial analysis and pursue algorithmic trading

– Get 30-days money-back guarantee if you don’t find the course helpful


Duration: 1 week

Rating: 4.5 out of 5

You can Sign up Here


Review: Very useful and well-taught course. A good overview of financial concepts and python. I just wish it covered APIs outside of Quantopian, market making, and more technical indicators. – Tudor Munteanu



3. Introduction to Python for Finance (DataCamp)

This introductory course will help you learn how to adapt and use Python for general-purpose programming and quantitative analysis. It is entirely focused on introducing Python for financial analysis, which means you will cover a variety of concepts related to Python programming and financial analysis. Also, it is included with practical examples that will help you learn the basics of Python data structures, such as lists and arrays, and immersive ways to store and manipulate financial data for identifying trends. Completing the course will provide you a certificate of completion that can be shared with employers to showcase your skills. And if you are interested in learning Python, then access the best Python for Data Science courses.


Key USPs –

– Designed by expert instructors of DataCamp to help you get introduced to core concepts of Python for financial analysis

– Get introduced to lists in Python, and how they can be used to work with data types

– Know about Matplotlib package and how it is useful in creating line plots, scatter plots, and histograms

– Included with more than ten videos, 500 exercises, and quizzes to help you get a clear understanding of the subject

– Get access to case study to analyze where you stand after completing the course


Duration: 4 hours

Rating: 4.5 out of 5

You can Sign up Here



4. Python and Statistics for Financial Analysis (Coursera)

For financial analysis, you need to equip both Python and statistical skills, and this course provides that in one place. This course offers a combination of both python and statistical concepts that can be applied to analyze the financial data like stock data. The course is designed by the Hong Kong University of Science and Technology, so you will be learning from some of the best instructors of the university. During the course, you will be provided with continuous support and assistance to resolve your queries related to the course material, and a certificate will also be given to you on completion of the course.


Key USPs –

– Learn how to import, pre-process, save and visualize financial data into pandas Dataframe

–  Learn how the existing financial data can be manipulated by generating new variables with the help of multiple columns

– Understand how essential statistical concepts like random variables, frequency, confidence interval, distribution, etc. can be applied to financial contexts

– Learn to build a trading model with multiple linear regression model, and evaluate its performance with different investment indicators

– Gain essential statistical skills like Financial data analysis, statistical analysis, python programming, data visualization, etc.


Duration: 4 weeks, 3-4 hours/week

Rating: 4.5 out of 5

You can Sign up Here


Review: Perfect for the beginning to intermediate python programmer who wants to utilize finance data to make decisions (i.e. trading) – DA


Those were some of the best Python for Finance courses available online. Hope you found one suiting your needs. Wish you Happy Learning 🙂