Learning coding for finance is an extremely important skill to acquire if you’d like to become a financial analysis with excellent trading skills.
Most stock trading is done by algorithms today, so having this background in coding is a huge plus in being able to trade. However, if you’d just like to work as a portfolio manager or corporate banker then you definitely don’t need to learn to code.
The best place to start learning to code for finance is through online courses.
In this article, we are going to look at the best coding for finance courses and certifications online to teach you the skills to trade like a pro.
Once you take these courses, you’ll learn artificial intelligence models in popular languages like Python and R, which will help you master algorithmic trading and optimize your bids for more success.
You’ll also pick up some skills in quantitative finance analysis for economic and banking.
Let’s get started.
1. Complete 2-in-1 Python for Business and Finance Bootcamp | Udemy
If you want to learn coding for finance, then this is the best coding course for finance online that you’ll find on Udemy.
Here, you’ll find a comprehensive Python course for business and finance professionals that will help you learn and master the Python programming language from zero, all the way to using it for extensive financial analysis and modeling.
I’d recommend this course because the instructor of this course holds a Master’s degree in Finance and passed all three CFA Exams. So there is absolutely no room for wrong or dubious practices like LSTM stock price predictions or using stock prices in linear regressions.
Some of the other skills you’ll pick up with this online course include statistics lessons that cover descriptive & inferential statistics, confidence intervals, and hypothesis testing, among other important statistics skills.
Finally, you’ll learn how to use Pandas to handle, process, clean, aggregate and manipulate Tabular (Financial) Data.
2. Artificial Intelligence for Finance, Accounting & Auditing | Udemy
Learning coding online if you are a finance professional is pretty much fun because you are able to make it work around your usually busy schedule.
In this online training, you’ll get a 360 degree view of the current artificial intelligence techniques used in business, finance, accounting and auditing. Through a mix of lectures, hands-on exercises, reflection exercises and knowledge-check quizzes, this course will provide you with a quick and deep overview of artificial intelligence in business.
By taking this course for learning coding for finance, you’ll be able to reposition yourself to initiate and implement AI innovation within your team.
Some of the key techniques you’ll learn during this training include Chatbots, Natural Language Processing, Machine Learning, Machine Vision, as well as Speech Recognition.
There are also lessons on Internet of Things, Robotic Process Automation with Intelligence layer (hands-on software: Automation Anywhere), and Smart Analytics (software: MindBridge Ai).
3. Python and Statistics for Financial Analysis | Coursera
Python is now becoming the number 1 programming language in the finance industry, thanks to its simplicity and high readability.
This is another one of the best coding for finance courses online that you cannot scoff at if you really want to make your day to day operations more efficient and accurate.
Here, you’ll combine both Python coding and statistical concepts and apply them into analyzing financial data, such as stock data.
Some of the other skills you’ll pick up along the way include how to import, pre-process, save and visualize financial data into Pandas dataframe, how to manipulate the existing financial data by generating new variables using multiple columns, as well as how to build a trading model using multiple linear regression model.
By the end of this Coursera course for coding you’ll be able to recall and apply the important statistical concepts into financial contexts, and evaluate the performance of the trading model using different investment indicators.
4. Value-Based Care: Reimbursement Models | Coursera
Want to launch your career as a coder in the finance industry?
This course is designed to help you build high-level knowledge of the current medical coding and payment mechanisms of most U.S. healthcare services, referred to as fee-for-service.
Here, you will explore why the fee-for-service model has contributed to higher costs in the U.S. healthcare system without clearly improving health outcomes.
The course instructor also takes you through the importance of coding to reflect chronic conditions and other diagnoses accurately, and how value-based care and payments utilize these measures and data.
As you learn about a model to replace fee-for-service, you’ll encounter a range of payment options considered to be value-based that utilize a framework from the Health Care Payment Learning and Action Network (HCP-LAN).
Finally, you’ll take on a project where you’ll demonstrate your knowledge by comparing fee-for-service and value-based contracts, using specific examples to explain and justify the importance of documentation and coding.
5. Econometrics for Business in R and Python | Udemy
This course for learning how to become a coding for finance professional focuses on giving you the intuition and tools to apply the techniques learned, while making sure everything that you learn is actionable in your career.
Here you’ll focus on learning the R and Python languages to perform your finance oriented coding activities.
You’ll begin with an overview of use cases. Drawing from business literature and the instructor’s own experience, you’ll go through examples where each econometric technique has been applied.
Next, you’ll move onto the intuition tutorials. The aim is for you to understand why the technique makes sense. All intuition tutorials are based on business situations.
The last part of this online course on Udemy deals with practice tutorials, where we will code and solve a business or economic problem. There will be at least one practice tutorial per section.
