What to Learn After Python for Finance

Python for finance is used to gather, manage, analyze, and leverage financial data. The Python programming language enables economic forecasts with artificial intelligence, the creation of data visualizations, the building of secure banking apps, and more. You can use Python for finance to help start a career in finance or finance technology. If you already know how to use Python for finance, you might consider learning Java and SQL, both of which are programming languages with many uses in fintech and the finance industry. We’ll cover Java and SQL below so you have a clear understanding of what skill you want to tackle next. 

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.

Learn Java for Finance

With data science playing an increasingly essential role in the finance industry, knowing another popular programming language for finance can benefit your long-term career goals. If you are interested in programming for fintech, you may benefit from learning Java. Java is the most popular programming language in finance technology thanks to its rigid security features, versatility, and ability to manage huge quantities of data. Programmers use Java to build ecommerce platforms, banking apps, trading algorithms, and more. Java-built programs can run on any machine, which enables teams that may have different equipment to work in the same language. Java also enables several artificial intelligence and machine learning features. These features allow for predictive modeling such as economic and stock market forecasts and knowing probable outcomes helps individuals and organizations plan accordingly. Noble Desktop’s Java Learning Hub lets you explore free resources and compare classes that teach Java.

Learn SQL for Finance

SQL, which stands for Structured Query Language, is a domain-specific programming language used to communicate with databases. In finance and fintech, SQL is used for locating, storing, retrieving, and managing data within relational databases. Recruiters often look for a candidate who knows SQL programming when searching to fill a Financial Analyst position. This skill also benefits those looking to pursue other roles in finance, especially those that work with data processing platforms and statistical modeling. You can use SQL to search for data that matches certain requirements and to build your own financial data database. To learn more about SQL for finance careers, what SQL can do, how to learn it, and what to expect when learning SQL, you can explore Noble Desktop’s SQL Learning Hub. 

Key Insights

• Programming plays an increasingly crucial role in the finance industry and in the creation, improvement, and management of financial technology. In addition to Python for finance, you may wish to learn related programming skills.
• Java and SQL are two programming languages with many uses in finance. Both are popular in the finance industry and can help your resume stand out.
• Java is the most popular programming language for fintech because of its versatility, security features, and ability to manage large amounts of data.
• SQL (Standard Query Language) allows you to search for data matching certain criteria, build your own financial data database, and more. Many recruiters looking to fill Financial Analyst positions look for SQL programming on applicant resumes.
• You can learn Java and SQL programming in live online and in-person classes from Noble Desktop.

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.