Python for Finance Cost

If you want to learn Python for finance, you may wonder how much it costs to learn these skills. Python and Python libraries are generally free to use because they are open-source. You can also find free code editors and other tools online. The cost of learning Python for finance varies depending on the training method you choose and your prerequisite knowledge. You can start with free learning tools, explore paid on-demand class subscriptions that range from $30 to $60 per month on average, and compare these to costs of instructor-led courses to determine which options fit your goals and budget. 

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 Cost

If you are interested in learning Python for finance, you might wonder how much the necessary tools and software will cost, as well as how much it costs to learn Python for finance skills. The cost of training varies based on your existing Python programming knowledge and the training method you choose, but you may be surprised to learn that many Python tools are free. Python is an open-source programming language, which means that it is free for any member of the public to install and use. Many Python libraries and packages are also available at no cost. 

There are free Python for finance training resources available, though most of these focus on introducing Python programming fundamentals or high-level overviews of the finance industry. Paid on-demand classes like those found on Coursera, Skillshare, Udemy, and LinkedIn Learning use a paid subscription model costing between $30 and $60 per month. The total cost of taking on-demand classes will depend on how long it takes you to complete the coursework since the monthly charge is a recurring expense. 

Instructor-led courses cost more, but also offer benefits other training methods do not, such as real-time feedback and guidance from an instructor, the ability to collaborate with classmates, and the creation of a professional portfolio. In-person and live online class tuition typically cost the same amount. The total cost depends primarily on the length of the course or program, with tuition ranging from $1,000 and $5,000. Your costs may be higher if you need to take a prerequisite course, such as one covering Python programming fundamentals. 

Why Learn Python for Finance?

Learning Python for finance can revolutionize how organizations process financial data. Python has numerous finance functionalities including analytics, banking software, stock trading strategy, and cryptocurrency. Pandas, a Python library, permits complex statistical analysis and simplifies the data visualization process. Other libraries like Scikit-learn and PyBrain enable solutions that use machine learning algorithms for predictive analytics, allowing for scientific financial forecasts. Python is also the programming language behind mobile banking apps and ATM software, cryptocurrency analysis, and stock trading based on analytical predictions. 

Python for finance serves as an important skill for certain career paths. Traders, Analysts, Quantitative Researchers, Finance Associates, Data Scientists, Software Engineers, and others in the finance industry can benefit by learning about Python’s finance industry uses.

Read more about why you should learn Python for finance. 

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.