Are you considering a career in finance and want to expand your skillset? Discover the impact of mastering Python, SQL, and Excel in the financial sector and explore the diverse careers available in personal, corporate, and public finance.

What to Learn After Finance

Finance encompasses money management, including borrowing, saving, budgeting, lending, forecasting, and investing. There are various positions one can pursue with financial knowledge. For those who have already learned the various aspects of finance, consider learning Python, SQL, and Excel to help in any of the positions you seek. This article will cover these skills so you clearly understand what skills you want to tackle next.

What is Finance?

In its most basic definition, finance is the management of money. Finance includes investing, lending, budgeting, borrowing, saving, forecasting, and studying money. There are multiple areas of finance, including personal, corporate, and public finance.

Personal finance deals with keeping your debt down, budgeting, growing your assets, and increasing cash flow, among others. The three main types of corporate finance are capital budgeting, capital structure, and dividend policy. Among the significant concerns of public finance are the budgeting process and an entity’s revenue source.

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

What Can You Do with Finance?

At its root, finance deals with managing money. This includes investing, saving, budgeting, forecasting, borrowing, and lending. Here are three solid career paths to follow with a firm understanding of finance.

Accountant - This lucrative field is ideal for anyone with a love of numbers, though it is not necessary to be successful. Within a company, an accountant often creates, interprets, and analyzes a wide range of financial statements. Company accountants and management come together as partners to create budgets. Finally, accountants handle the tax matters of a company, including filing returns and planning out tax liabilities.

Business Development Officer - Companies hire Business Development Officers to develop and execute strategies that lead to increased sales and higher profits. These officers also seek out business opportunities and secure the best business deals. They are responsible for negotiating deals and meeting with potential investors.

Financial Data Analyst - These professionals analyze data to assist financial institutions in making better business decisions. Among their numerous responsibilities is compiling information from different divisions of a company. These analysts also look for ways to improve the company's current methods of data collection.

Python

Although you typically find Python used in back end programming, it includes various libraries that financial professionals use regularly. Financial Analysts and other financial professionals use Python to gather and manipulate financial data. Financial professionals use Python's libraries to build risk management models like VAR and Monte Carlo simulation.

If you are considering learning Python for finance, Noble Desktop offers a Python for Finance Bootcamp. This course covers the basics of Python and how to create APIs, income statements, and balance statements. You will also learn to apply the statistical measure to financial uses like stock prices. To take your knowledge a step further, consider the FinTech Bootcamp, which covers Python and various other programs.

SQL

Almost all aspects of finance rely on collecting financial data, whether it be accounting or banking transactions. Suppose you are pursuing a Financial Analyst role with your financial education. In that case, you will rely on more than traditional finance skills like accounting, statistics, and business analytics to complete your daily tasks. Most Financial Analyst positions require data science skills, such as understanding programming languages like SQL, to find positions. You will encounter data stored in SQL databases throughout various financial professions, making it an integral part of any financial training.

Financial Analysts who learn SQL can utilize tools for financial analysis. One of the key uses of SQL in finance is working within relational databases or building their own financial data database. To learn SQL and other data science programming languages, you can enroll in Noble Desktop's FinTech Bootcamp. In this bootcamp, students learn SQL and Python to develop a well-rounded portfolio of data science and financial analysis projects.

Microsoft Excel

Another analytical skill to add to your finance toolbox is Excel. Even though Excel might only seem relevant to some areas of finance, it can be helpful when analyzing large data sets. The ability to keep all financial records in one place and present that information in a meaningful way will benefit you. In doing so, you can identify patterns in spending, decisions, and income to make better decisions.

To learn Excel for finance, consider taking the Excel Bootcamp or the Financial Modeling Intensive courses Noble Desktop provides. The Excel bootcamp is great for learning the program if you have yet to gain experience. If you have experience with Excel, you can take the Advanced Excel course.

Key Takeaways

In finance, money is studied and managed
The majority of financial positions will require more skills than just financial literacy
After becoming proficient in finance, consider learning:

Python
SQL
Microsoft Excel

You can learn all of these skills and finance together through several different bootcamps provided by Noble Desktop:

Learn Finance with Hands-on Training at Noble Desktop

Some believe the only way to learn finance, whether for a career or personal benefit, is through a lengthy, time-consuming degree program. Luckily, there are many alternatives. Many people feel the bootcamp or certificate training model is the superior path.

As a premier provider of online education, Noble Desktop provides multiple ways to learn finance. They offer numerous thoughtful educational options to expand your finance skill set quickly, whether you're new to the field, already working in finance, or in a position that requires a deep understanding of it. Here are some of Noble Desktop's most popular programs.

FinTech Bootcamp - Taught by expert instructors, this extensive FinTech bootcamp is intended for beginners. You can complete this course in four weeks full-time or four months part-time. Among the topics covered are the fundamentals of Python, data structures, and how to use SQL to query databases.

Python for Finance Bootcamp - This 18-hour detailed Python for Finance Bootcamp is designed for Risk Managers, Financial Analysts, Portfolio Managers, and those seeking a career in finance technology and data analysis. Students will learn the major Python financial libraries, how to analyze financial statements from the SEC website, and how to apply statistical measures.
Financial Analyst Training Program - While some knowledge of accounting and finance is helpful for this seven-day Financial Analyst Training Program, it is not necessary nor required. If you're looking to carve out a career path at a top financial firm, this bootcamp is the most effective and affordable course to learn these skills.

Other Noble Desktop courses to consider are the Premiere Pro Bootcamp, Video Editing Certificate, and Premiere Pro classes and bootcamps.