Skills you'll gain: Business Analysis, Correlation And Dependence, Finance, General Statistics, Investment Management, Risk Management, Spreadsheet Software, Leadership and Management, Microsoft Excel
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Application, Geovisualization, Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Database Administration, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing
Beginner · Professional Certificate · 3-6 Months
Skills you'll gain: Leadership and Management, Strategy and Operations, Business Analysis, Change Management, Finance, Entrepreneurship, BlockChain, Cloud Computing, Software As A Service, Software Engineering, Theoretical Computer Science, Business Communication, Communication
Beginner · Specialization · 3-6 Months
Skills you'll gain: Accounting, Business Analysis, Data Analysis, Finance, Financial Analysis, Financial Management, Financial Accounting, Investment Management, Budget Management, Management Accounting, Leadership and Management, Research and Design
Beginner · Course · 1-3 Months
Skills you'll gain: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, Probability Distribution, Spreadsheet Software, Basic Descriptive Statistics, Finance, Accounting, Financial Accounting, Investment Management, Financial Analysis, Correlation And Dependence, Data Management, Data Model, Entrepreneurship, Leadership and Management, Microsoft Excel, Problem Solving, Research and Design, Risk Management, Statistical Analysis, Statistical Tests
Mixed · Course · 1-4 Weeks
Skills you'll gain: Finance, Accounting, Strategy and Operations, Cost Accounting, Project Management, Investment Management, Business Analysis, Data Analysis, Entrepreneurship, FinTech, Financial Analysis, Leadership and Management, Banking, Budget Management, Business Process Management, Business Psychology, Financial Accounting, Financial Management, Inventory Management, Management Accounting, Organizational Development, Supply Chain and Logistics, Probability & Statistics
Beginner · Course · 1-3 Months
Skills you'll gain: Finance, Mergers & Acquisitions, Accounting, Business Analysis, Data Analysis, Financial Analysis, Business Psychology, Corporate Accouting, Entrepreneurship, Investment Management, Leadership and Management, Organizational Development
Intermediate · Course · 1-3 Months
Skills you'll gain: Business Analysis, Spreadsheet Software, Accounting, Data Analysis, Decision Making, Entrepreneurship, Financial Accounting, Forecasting, General Statistics, Leadership and Management, Microsoft Excel, Planning, Probability & Statistics, Statistical Analysis, Statistical Tests, Strategy, Business Transformation, Financial Analysis, Marketing, Probability Distribution, Sales, Strategy and Operations, Supply Chain and Logistics, Business Research, Correlation And Dependence, Data Visualization, Finance, Financial Management, Regression, Research and Design, Statistical Visualization, Data Analysis Software
Mixed · Course · 1-4 Weeks
Skills you'll gain: Basic Descriptive Statistics, Econometrics, Game Theory, General Statistics, Statistical Machine Learning, Advertising, Business Analysis, Communication, Critical Thinking, Decision Making, Design and Product, Entrepreneurship, Leadership and Management, Machine Learning, Market Research, Marketing, Markov Model, Probability & Statistics, Problem Solving, Product Management, Product Marketing, Research and Design, Sales, Strategy, Strategy and Operations
Mixed · Course · 1-3 Months
If you are looking to gain knowledge and skills in financial modelling, two great free courses are Coursera's Advanced Valuation & Strategy and 10K Women-5. Both courses are comprehensive and provide valuable insights into the world of finance.
The Wharton Business Financial Modeling Specialization is one of the best beginners courses for financial modeling, teaching students how to use Excel to build financial models suitable for real-world decision making. For those looking for a more advanced course, the Finance Quantitative Modeling Specialization provides a comprehensive overview of the tools and techniques necessary for understanding the financial markets and building quantitative models. For those wanting to build their Excel skills, the Excel Specialization is a great option. Additionally, the Finance for Non-Finance Professionals helps non-financial professionals understand the fundamentals of finance. Lastly, the Risk Management Specialization helps professionals better understand the various types of risk that can affect an organization.
For those looking to hone their financial modeling skills, Macquarie's Advanced Financial Modeling Courses are an excellent choice. Courses like Discounted Cash Flow Modeling provide an in-depth introduction to valuation and decision-making, while Introduction to Valuation and WACC looks at the basics of using WACC for valuating stock. Stock Valuation via the Dividend Discount Model examines the value of dividend income for long-term investment potential, and PerfectXL Microsoft Excel Course is a comprehensive introduction to using Excel for modeling.
Financial models are mathematical representations of a company, financial asset(s), or any other investment. Quantitative modeling techniques are applied in Microsoft Excel or other spreadsheets, and incorporate a wide variety of inputs on accounting data such as cash flows, financial data such as stock market performance, and relevant non-financial metrics such as risk factors. By then applying techniques from statistics such as linear regression analysis, skilled modelers can build a simulation that can be used to predict future financial performance.
This type of quantitative modeling is critically important for providing guidance for business decision-making in areas such as investment analysis, corporate finance, and company valuation and forecasting. However, these probabilistic models cannot actually see into the future; a skilled analyst must understand not only the considerable predictive powers of these financial models but also their limitations in order to make proper use of them.
Familiarity with financial models is necessary for many jobs in the business world. Whether you’re an accountant providing inputs for these models, a financial officer presenting them at a board meeting, or a CEO consulting them on business decisions, it’s important to know how these tools work and what they can (and cannot) tell you.
For some business professionals, financial models are even more central to their work. Financial analysts, for example, are employed by banks, investment funds, insurance companies, and other businesses to evaluate financial data, study economic trends, and build and analyze the models used to evaluate investment opportunities.
According to the Bureau of Labor Statistics, financial analysts make a median annual salary of $85,660 per year and typically only have a bachelor’s degree, making this an attractive job to begin your career in the business world.
Absolutely. Coursera has business courses and Specializations on a wide range of topics, including financial modeling. You can take courses focused on areas like financial and quantitative modeling, statistics for financial analysis, and the use of programs like Microsoft Excel and Python in this field.
And, because Coursera offers courses from top-ranked universities from around the world like University of Pennsylvania, Columbia University, Macquarie University, and Hong Kong University of Science & Technology, you won’t have to sacrifice the quality of your education to learn about financial modeling online.
The skills and experience that you need to already have before starting to learn financial modeling may likely include a keen attention to detail, strong computer skills for databases and spreadsheets, a fundamental understanding of basic accounting principles and financial statements, and knowledge on how to build a financial forecast using financial data. These skills may all come in handy to learn more about this financial process that’s used to model the likely impact of a future decision or event. A key aspect of learning financial modeling may exist in knowing the three key elements of a financial forecast (income statement, balance sheet, and cash flow statement) and how to link them together in an Excel spreadsheet.
The kind of people that are best suited for work that involves financial modeling are those who love working with numbers, testing data, and figuring out hypotheses and being confident to present findings to senior teams. Some common characteristics of this type of person may also include having a positive attitude, being a self-learner and self-starter, and showing flexibility to get around obstacles. These traits are often found in people who have become successful financial modeling professionals in investment banking, equity research, corporate developments, and real estate investments.
You might know if learning financial modeling is right for you if you show a keen understanding of the financial methods used by companies, and have a passion to learn how these companies can operate more efficiently with accurate data and analysis. If you’ve often studied company financial statements and watched business news on the internet, you may have an underlying desire to work in the financial industry, whether on Wall Street or on Main Street. Today’s advanced financial modeling professionals often work in key roles like investment analysts, statistical analysts, data analysts in trading, quantitative analysts and traders (quants), and financial engineers. By using your basic accounting and analytical skills and experience to learn more about financial modeling, you could find that you want to pursue these types of career roles.