Python-Courses

Best Python Courses for Banking, Finance & FinTech (2021)

In FinTech by Gaurav SharmaUpdated On:

Python is a widely popular language used in the financial services industry. From the old banking conglomerates to the new FinTech age start-ups, everyone seems to be loving it. That’s not surprising given Python’s simplistic elegance, versatility and strong financial modelling capabilities.

Python is loved by financial data analysts, traders, cryptocurrency geeks and developers alike. Many fintech jobs or development jobs at banks require it as an essential skill which makes it one of the most in-demand languages for candidates looking for a job opportunity in one of these fields.

It is also a very powerful language and in order to fully utilise its vast potential in finance, programmers have to go beyond the ordinary. The following courses have been cherry picked to provide users with the skills needed to learn Python for financial applications.

Here are the top Python Courses followed by detailed reviews below:

Best Python Courses/ CertificationsLearn More
1. Programming for Data Science with Python from UdacityPreview/ Enroll Now
2. Python for Everybody from the University of MichiganPreview/ Enroll Now
3. Introduction to Python Programming from Georgia TechPreview/ Enroll Now
4. Investment Management with Python and Machine Learning from EDHECPreview/ Enroll Now
5. AI Programming with Python from UdacityPreview/ Enroll Now

1. Programming for Data Science with Python from Udacity

Why take this course?

  1. The financial services industry has adopted data science and analysis with open arms. That is not surprising considering the staggering amount of data we handle. This is the course for those interested in Data Science.
  2. This is a beginner friendly course so you don’t really need a lot of prior experience. You get to start your Python journey form the very beginning and reach a level that you should be able to comfortably use your skills in real world settings and crack most interviews.
  3. The course focuses on python fundamentals like data structures, variables, loops, functions and the use of libraries like NumPy and Pandas. Of course, data science requires an understanding of SQL as well and that is also covered here. So this introductory course should have you well covered.
  4. There is a focus on practical experience and Udacity provides excellent technical and career support to all its students. You get access to technical mentors and career support like resume and online professional profile review. These value added services sets them apart and really makes this more than just an online course.

Summary

  • Time to Complete: Around 3 months.
  • Available fully online and on-demand.
  • Best course for those interested in using Python for Data Science.

Preview Course/ Enroll Now


2. Python for Everybody from the University of Michigan

Why take this course?

  1. If you are a complete beginner to Python, this is the course for you. No two ways about it. This is the best beginner course for learning Python and probably one of the most popular. The excellent content quality and friendly introduction is what makes this course so popular.
  2. After covering the basics, you move on to the meat which starts with Python data structures like lists, dictionaries, and tuples to perform complex data analysis tasks. Next, you come to using Python to extract data form the web. This includes scraping, parsing, and reading web data as well as accessing data using web APIs. You will work with HTML, XML, and JSON data formats. Lastly, you come to databases and using SQL for gathering, sorting, analyzing, and processing data.
  3. Everything is capped off by a hands-on capstone project that provides you with some real world experience. You will actually build an appreciation for retrieving, processing and visualising data. This is as real as it gets.
  4. The course is offered by the University of Michigan and you get a shareable certificate on completion. This will add real value to your CV and can also be displayed on your LinkedIn profile.

Summary

  • Time to Complete: 80-90 hours.
  • Available fully online and on demand using the reputable Coursera platform.
  • Best Python course for beginners.

Preview Course/ Enroll Now


3. Introduction to Python Programming from Georgia Tech

Why take this course?

  1. Another great introductory course to Pyuthon programming. The best part about this course is that it is broad enough to fit any specialisation allowing you to use Python for whatever you need to use it for.
  2. The course into a number of modules covering variables, operators, writing and debugging Python programs, control structures, conditionals, loops, functions, error handling, data management, dictionaries, recursion, search and sort algorithms etc. It’s a pretty meaty course and should satisfy the most demanding of leaners.
  3. The course is part of Georgia Tech’s own computer science course, so you know it is of excellent quality. Essentially, you get the equivalent of on-campus learning with the benefit of being able to take the course anywhere and at any time, and at your own pace. You are awarded a Professional Certificate on completion that can be used to showcase your proficiency to recruiters.

Summary

  • Time to Complete: Around 180 hours.
  • Available fully online and on-demand.
  • Recommended for beginners who are desirous of a broad understanding of Python.

Preview Course/ Enroll Now


4. Investment Management with Python and Machine Learning from EDHEC

Why take this course?

  1. Interested in Asset, Portfolio or Asset Management specifically? EDHEC has you covered with this great offering. EDHEC is an excellent brand to have on your CV  and this course is the best one for those interested in any of the investment related career fields that require the use of Python.
  2. This specialisation has been designed for using Python code to build and analyse efficient portfolios, estimate risk and return portfolios, better diversify exiting portfolios and to use use machine learning and advanced data analytics for making optimized investment decisions.  This is the stuff that traders dream of.
  3. While the course starts with building a theoretical framework, there is a lot of focus on practical applications as well. Dedicated lab sessions to help you apply what you have learned and a hands-on project that you need to complete before you can earn your certificate.
  4. The formal certification from EDHEC will add considerable value to your CV and can also be used on your LinkedIn profile. It might be a good idea yo get this if you are interviewing for an investment management role as Python skills are always appreciated.

Summary

  • Time to Complete: Around 80 hours.
  • Available fully online and on-demand.
  • Highly recommended for traders, wealth/ portfolio/ asset managers and others in investment management roles.

Preview Course/ Enroll Now


5. AI Programming with Python from Udacity

Why take this course?

  1. Perhaps the best foundational course for learning AI for finance using Python. This course will lay the groundwork for some interesting careers in finance and fintech. AI is being used heavily in finance and banks have been on a hiring spree.
  2. This course will teach you the use of Jupyter Notebooks, NumPy, Anaconda, pandas, and Matplotlib for working with data. NumPy and PyTorch are also covered. Additional focus is given to linear algebra behind neural networks and the sue of calculus to train a neural networks. These are advanced financial applications where there is a massive shortage of skilled talent.
  3. Udacity offers not only quality courses but also excellent support. You will have mentors answering your technical questions with real world industry experience to help guide you. Careers resources like resume review and online professional profile review are also available.
  4. This is an intermediate level course that does require some prior experience with programming and basic algebra.

Summary

  • Time to Complete: Around 3 months.
  • Available fully online and on-demand.

Preview Course/ Enroll Now

Python-Courses


6. Python Programming for Finance from NYIF

Why take this course?

  1. The New York Institute of Finance has purpose built this certification for developers in finance including modelers, analysts, quants, traders, financial engineers, app and software developers etc. This focus on a specific niche allows for a deeper understanding of the specificities in the use of Python and R in finance.
  2. Topic coverage includes NumPy, SciPy, vectorized functions, data analysis with python, scientific computing with python, python applications including Monte Carlo simulations which are sued a lot in finance, pricing options, simulating asset price movements and all that good stuff.
  3. This is Python as it is meant to be used in finance. You will learn from experts in the field who have first-hand experience of programming for finance and receive a professional certificate from an institution that has been coaching bankers and traders for almost a century.
  4. This is a more advanced course meant for finance professionals operating in very demanding roles. There is extensive use of calculus, statistics, probability theory and some understanding of financial instruments is also recommended.  But it will rally take your skills to the next level.
  5. The brand value of this certification is unmatched if you intend to operate in the financial services industry. There are plenty of other great courses on this list, but this one has been tailor made for finance by an institute that knows the industry intimately.

Summary

  • Time to Complete: 5 days.
  • Available fully online in a virtual classroom or on-site.
  • Recommended for investment bankers, quants, traders and other finance professionals.

Preview Course/ Enroll Now


7. Professional Certificate in Python Data Science from IBM

Why take this course?

  1. This is an intermediate level course created by IBM focusing on the Data Science and machine learning applications of Python. It does not really require any prior programming experience though so it’s a great starting point for newcomers and intermediate level coders alike.
  2. As always, you start with the basics of Python and how they apply to data science. You then practice iterative data science using Jupyter notebooks on the IBM Cloud. You also use Python libraries like pandas and numpy and create data visualisation with matplotlib, folium, and seaborn. Machine learning models are built using scipy and scikitlearn.
  3. At the end of the course, you have to complete a month long data science and machine learning capstone project that is going to test everything you have learned so far and its application in a real world scenario. This project should give you the confidence you need to undertake real projects and also give you something to talk about in an interview or other such interaction.
  4. A Professional Certificate from IBM will obviously offer you immense brand value and its an opportunity that should be made full use of.

Summary

  • Time to Complete: Around 90 hours.
  • Available fully online and on-demand.
  • Recommended for beginners and intermediate level learners interested in the Data Science and machine learning side of Python.

Preview Course/ Enroll Now


8. Python and Statistics for Financial Analysis from HKU

Why take this course?

  1. This short but helpful course has been specifically designed to give you an understanding about using Python for financial analysis.
  2. You start with the basics like importing data, manipulating it using variables, applying statistical concepts – all in order to create relevant context for financial analysis.
  3. The course provides practical experience in the form of building a trading model and evaluating its performance using investment indicators.

Summary

  • Time to Complete: Around 13 hours.
  • Available fully online and on-demand.

Preview Course/ Enroll Now


About the Author

Gaurav Sharma

Gaurav started his career as a Corporate and Investment Banking intern at Citi in 2009 and eventually ended up as an Associate Director at Standard Chartered Bank’s Wholesale Banking division a few years later. By 2016, Gaurav was consulting FinTech start-ups in London with product development in the institutional banking space. He also advises mid-market Private Equity/ Asset Management firms and Banks in North America and Europe with investments in the financial services and FinTech sector. Gaurav writes on topics ranging from European Union banking regulations and FinTech to Blockchain startups and the inevitable rise of our AI overlords! He has an Engineering degree in Computer Science and an MBA with a double major in Finance and Marketing. He is also a Certified Financial Risk Manager.