Kompetenzen, die Sie erwerben: Machine Learning, Applied Machine Learning, Big Data, Business Analysis, Data Analysis, Data Management, General Statistics, Probability & Statistics, Statistical Analysis, Strategy and Operations, Data Science
Beginner · Course · 1-4 Weeks
Kompetenzen, die Sie erwerben: Business Analysis, Business Design, Business Transformation, Decision Making, Entrepreneurship, Innovation, Leadership and Management, Market Research, Problem Solving, Research and Design, Planning, Supply Chain and Logistics, Business Development, Sales
Beginner · Course · 1-3 Months
Kompetenzen, die Sie erwerben: 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
Kompetenzen, die Sie erwerben: General Statistics, Probability & Statistics, Machine Learning, Data Analysis, Business Analysis, Statistical Analysis, Machine Learning Algorithms, Computer Programming, Python Programming, Statistical Programming, Algorithms, Theoretical Computer Science, Statistical Tests, Regression, Finance, Probability Distribution, Correlation And Dependence, Deep Learning, Econometrics, Forecasting, R Programming, Basic Descriptive Statistics, Data Visualization, Investment Management, Risk Management, Accounting, Communication, Corporate Accouting, Data Science, Entrepreneurship, Marketing
Beginner · Specialization · 3-6 Months
Kompetenzen, die Sie erwerben: Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Probability & Statistics, Regression, Human Computer Interaction, Data Analysis, Data Mining, Deep Learning, Leadership and Management, Business Psychology, Computer Networking, Database Administration, Databases, Finance, Network Security, Regulations and Compliance, Research and Design, Security Engineering, User Experience, User Experience Design, Artificial Neural Networks, Computer Vision, Natural Language Processing, Statistical Machine Learning, Algorithms, Data Management, Data Science, Data Structures, Design and Product, Econometrics, Entrepreneurship, Feature Engineering, General Statistics, Operating Systems, Product Management, Project Management, Strategy and Operations, Systems Design, Theoretical Computer Science
Beginner · Specialization · 3-6 Months
Kompetenzen, die Sie erwerben: Marketing, Data Analysis, Digital Marketing, Advertising, Business Analysis, Marketing Management, Media Strategy & Planning, Statistical Analysis, Probability & Statistics, Communication, Market Analysis, Experiment, General Statistics, Statistical Programming, Computer Programming, Data Visualization, Market Research, Python Programming, Regression, Statistical Tests, Basic Descriptive Statistics, Brand Management, Data Analysis Software, Data Management, Data Visualization Software, Databases, Forecasting, Probability Distribution, Research and Design, SQL, Spreadsheet Software, Storytelling, Accounting, Computer Networking, Entrepreneurship, Finance, Leadership and Management, Network Security, Operating Systems, Regulations and Compliance, Sales, Security Engineering, Security Strategy, Strategy, Strategy and Operations, System Security, Tableau Software, Web Development
Beginner · Professional Certificate · 3-6 Months
Kompetenzen, die Sie erwerben: Data Science, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Matlab, Reinforcement Learning, Business Psychology, Communication, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Deep Learning, Entrepreneurship, General Statistics, Linear Algebra, Machine Learning Algorithms, Mathematics, Network Model, Probability & Statistics, Probability Distribution
Beginner · Course · 1-3 Months
Kompetenzen, die Sie erwerben: Accounting, Audit, Mathematics, Research and Design, Strategy and Operations, Accounting Software, Advertising, Applied Mathematics, Business Analysis, Communication, Computer Programming, Computer Programming Tools, Correlation And Dependence, Critical Thinking, Entrepreneurship, Market Research, Marketing, Operations Management, Probability & Statistics
Advanced · Course · 1-3 Months
Kompetenzen, die Sie erwerben: Business Psychology, Entrepreneurship, Human Resources, Leadership and Management, Marketing, Mathematics, Operations Management, Planning, Sales, Strategy, Strategy and Operations, Supply Chain and Logistics, Training, Calculus, Culture, Organizational Development, Differential Equations, Probability & Statistics, Data Analysis, General Statistics, Statistical Tests, Business Analysis, Statistical Analysis, Correlation And Dependence, Experiment, Probability Distribution, Problem Solving, Regression, Research and Design
Mixed · Course · 1-3 Months
Kompetenzen, die Sie erwerben: Machine Learning, Finance, Algorithms, Mathematics, Theoretical Computer Science, Machine Learning Algorithms, Applied Mathematics, Calculus, General Statistics, Investment Management, Probability & Statistics, Applied Machine Learning, Artificial Neural Networks, Business Analysis, Data Analysis, Deep Learning, Financial Analysis, Machine Learning Software, Tensorflow, Advertising, Communication, Computer Programming, Entrepreneurship, Marketing, Markov Model, Operations Research, Python Programming, Research and Design, Statistical Machine Learning, Strategy and Operations
Intermediate · Specialization · 3-6 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.