Python for Finance Training Cost

Looking to learn Python for finance?Python is free to use at no cost because it is an open-source programming language. Most Python libraries and packages are also entirely free. Beyond this, something you’ll want to consider is the cost of Python for finance training. The cost of learning Python for finance depends on the learning method you choose. You can get started with free resources, explore on-demand classes through monthly subscriptions that range from around $30 to $60 monthly, or take in-person or live online classes that range in cost from around $1,000 to $5,000 depending on the course length. Read on to find out more about how much you can expect to spend on learning Python for finance.

What is Python for Finance?

Programmers use Python for web development, data analytics, data science, finance, and more. Python is an object-oriented, interpreted, and high-level programming language that places emphasis on code readability by using significant indentation. Its simplicity, flexibility, and its status as a free, open-source programming language make Python incredibly popular around the world.

Python has been in use for more than 30 years and is a free program available to the public. This means there are many resources available to learn this highly useful programming language. Python is generally considered a beginner-friendly programming language to learn, meaning you do not need to have previous coding experience to start learning Python. However, as with any new skill, learning Python can prove challenging, especially when learning more advanced Python skills such as those involved in data science. Learning Python can bolster resumes in the fields of technology, finance, retail, marketing, and more. 

Read more about what Python is and why you should learn it. 

What Can You Do with Python for Finance?

Python is an open-source programming language that has been in use for over 30 years. This free-to-use programming language enjoys massive popularity thanks to its many uses. Python is used for web development, data science, data analytics, and more. In the finance industry, Python is used by Traders, Analysts, and Researchers, as well as companies like Stripe and Robinhood. Python’s simplicity and flexibility make it a popular programming language in the finance industry because it makes creating formulas and algorithms far easier than comparable programming languages. Python libraries and tools also make it easier to integrate programs with third parties, a common need in fintech. 

Python’s analytics tools, such as the Pandas library, allow for the creation of data visualizations and interactive dashboards that reference large quantities of data. The Python libraries PyBrain and Scikit allow for machine learning algorithms that enable predictive analytics. You’ll find Python programming at work in cryptocurrency, stock trading, banking apps, and more.

In-Depth Review of the Training Cost

The cost of learning Python for finance depends on the training method you choose since these programs can vary widely in price. You will also need to factor how long it will take you to learn Python for finance skills as longer courses cost more money than shorter ones and monthly subscriptions are a recurring expense. You may wonder why there is such a large difference in cost between on-demand/self-paced courses and instructor-led courses like in-person and live online classes. The main reason for this is that on-demand/self-paced classes consist mostly of pre-recorded videos and static content, so you are not paying an instructor for their time. The flip side of that is that in an on-demand class, you have limited, if any, access to an instructor should you have questions. By contrast, in-person and live online classes connect you to an instructor in real-time. Therefore, an in-person or live online class that lasts a few days will cost far less than one lasting a few months, but such a class will also cover far fewer topics.

Before committing to a paid class, you can start learning about Python programming through free training resources. You can find free videos and documentation about Python and its uses, however, most of these free materials will serve strictly as introductory material.

Paid on-demand classes cover many Python for finance topics at an affordable price. Subscriptions to sites like Udemy, LinkedIn Learning, Skillshare, and Coursera range from around $30 to $60 per month. The total cost of taking an on-demand or self-paced class will depend on how long it takes you to complete the class, so you will need to keep your timeline in mind to determine the total cost. Other service providers require students to buy classes a la carte and they range in cost from about $30 to $100.

In-person classes and live online classes covering Python for finance cost between $1,000 and $5,000 on average, depending on the length of the course. While these classes are the most expensive training option, they also offer many benefits that on-demand courses do not. These include one-on-one mentoring, real-time feedback from an expert instructor, unique hands-on activities that help you build a professional portfolio, and the ability to network with professionals in your field of interest. Many Python for finance classes also offer flexible payment options, reducing the upfront costs.

Free Introductory Python for Finance Course Online 

If you don’t feel ready to dive into a full course on Python for finance, you can start learning basic skills with a free introductory course. Noble Desktop’s free video seminar Intro to Python Fundamentals offers a high-level overview of Python programming basics. This video course is intended for those who do not have an existing knowledge of Python programming, and serves as a valuable starting point for learning Python for finance. 

You can also find free Python introductory courses on sites like Udemy and Coursera, as well as Youtube. Some classes are entirely free while others can be accessed using a free trial, after which may require students to pay a premium subscription fee.

Read about more free Python for finance videos and online tutorials.

Learn Python for Finance with Hands-on Training at Noble Desktop

Noble Desktop offers in-person and live online classes that help you master Python for finance. You can start by learning the Python programming basics, then progress to advanced Python uses, or you can explore classes that specialize in teaching the financial uses of Python programming. Noble’s classes offer many benefits including expert instructor guidance given in real-time, small class sizes, and free retake options.

If you do not have previous experience with Python programming, Noble’s Python for Data Science Bootcamp provides the foundational knowledge needed before you learn Python for finance. This bootcamp covers Python programming basics including loops, objects, and functions, handling different types of data, using conditional statements, using object-oriented programming, data visualizations, making predictions, and more. Once you have completed this bootcamp, you can proceed to the Python for Finance Bootcamp in which you will learn how to gather and manipulate financial data using Python’s major financial libraries.

Looking to launch a new career using Python for finance? Noble Desktop’s FinTech Bootcamp prepares students for entry-level positions in financial technology and data science. This certificate program includes multiple courses in which you will learn about Python for data science, automation, data visualization, machine learning, and finance. You will also learn about financial modeling.

Learn more about Noble Desktop’s live online Python classes and live online Finance classes to compare different courses and options.