Dan Gode

Dan Gode
Clinical Professor
Stern School of Business
New York University
KMC 10-86, 44 West 4th Street
New York, NY, 10012
dgode@stern.nyu.edu
https://dangode.com
Ph: +1 212-998-0021
Fax: +1 212-995-4004

About me: Bio | Teaching | Consulting | Research
Materials: Blog | Gode-Ohlson Framework | E-Learning
MBA Summer '26 Fall '26 Spring '27
Modeling Financial Statements Various management disciplines teach you how to analyze and forecast parts of a business. This course builds on this foundation to help you weave your forecasts into coherent spreadsheet-based pro-forma financials. Modeling financial statements provides a reality check on the forecasts, enables “what if” analysis, provides an integrated view of the business, and is a key step in valuation and credit risk analysis.
Y
Y
Modeling Acquisitions and Buyouts You will learn to model salient corporate events such as acquisitions, leveraged buyouts, public offerings, projects, and securitizations. The course also covers the necessary accounting details.
Y
Business Drivers of Industries: An Analytical Framework We illustrate a streamlined and structured framework to analyze business drivers of companies from a wide range of industries, excluding financial services. This helps us understand their narrative, drill into their financial statements, and assess competitive advantage.
Y
Y
Y
Tech Industry Drivers: An Analytical Framework We illustrate a streamlined and structured framework to analyze the business drivers of forty tech companies. This framework helps us understand their narrative, drill into their financial statements, and assess competitive advantage.
Y
Financial Analytics using Python and AI Tools Data analysis has shifted from manual downloads and Excel to code-first workflows. Analysts pull large datasets via APIs and scrapers, work with NumPy and Pandas at scale, and integrate ML and LLM into end-to-end pipelines. This course teaches how to do AI-driven financial analytics using Python, including implementing statistical and ML models, calling LLM APIs for text understanding and code generation, building simple RAG workflows over 10-Ks and earnings calls, and building AI agents.
Y
Renewable Energy and Electric Vehicle Industries We analyze the renewable energy and electric vehicles industries from the perspective of entrepreneurs, managers, and investors. We cover the following: (1) Explain key financial metrics, such as the levelized cost of energy, that are used to evaluate renewable energy sources. (2) Build simple financial models of renewable energy projects to understand their financial foundations. (3) Analyze financial statements of renewable energy and electric vehicle industries to understand their business drivers.
Y
Incentives, Costs, and ROI This course equips you with the tools to identify profitable opportunities, design effective financial incentives, and implement sound business plans. It is organized around four core themes: cost analysis, investment evaluation, incentives, and interdependencies. Cost analysis focuses on indirect cost allocation, non-linear costs, activity-based costing, and value-chain analysis. Investment evaluation examines value metrics, ROI, KPIs, and real options. The incentives module explores pay-for-performance design and budgeting variances. Finally, interdependencies address joint costs, bundled products, and transfer pricing.
Y
Financial Accounting and Reporting
Y
Excel for Business [Weekend workshop] Become an Excel power user and boost your productivity. This seminar helps you apply advanced Excel techniques to business problems. By the end of this course, you should be able to: (1) Organize spreadsheets to optimize teamwork and analyze scenarios, (2) Create concise and understandable spreadsheets that reduce the risk of errors, (3) Utilize advanced Excel techniques to automate and condense schedules, build scenarios, and make spreadsheets responsive.
Y
Y
Analysis of Financial Institutions This course analyzes financial statements of financial institutions from the perspective of investors, bankers, and consultants. It provides a framework to identify, understand, and analyze key performance metrics of banks.
Y
Taxes and Business Strategy The course explains how taxes affect mergers, acquisitions, valuation, capital structure, employee compensation, foreign operations, alternative investment vehicles, and tax disclosures.
Narratives and Numbers [with Scott Galloway]
Executive MBA Summer '26 Fall '26 Spring '27
Business Drivers of Industries: An Analytical Framework [EMBA] We illustrate a streamlined and structured framework to analyze business drivers of companies from a wide range of industries, excluding financial services. This helps us understand their narrative, drill into their financial statements, and assess competitive advantage.
Y
Undergrad Summer '26 Fall '26 Spring '27
Modeling Acquisitions and Buyouts
[Accounting] You will learn to model salient corporate events such as acquisitions, leveraged buyouts, public offerings, projects, and securitizations. The course also covers the necessary accounting details.
Y
Financial Analytics using Python and AI Tools
[Accounting, Computing and Data Science] Data analysis has shifted from manual downloads and Excel to code-first workflows. Analysts pull large datasets via APIs and scrapers, work with NumPy and Pandas at scale, and integrate ML and LLM into end-to-end pipelines. This course teaches how to do AI-driven financial analytics using Python, including implementing statistical and ML models, calling LLM APIs for text understanding and code generation, building simple RAG workflows over 10-Ks and earnings calls, and building AI agents.
Y
Tech Industry Drivers: An Analytical Framework
[Accounting, Computing and Data Science, Marketing] We illustrate a streamlined and structured framework to analyze business drivers of thirty two tech companies. This helps us understand their narrative, drill into their financial statements, and assess competitive advantage.
Y
Business Drivers of Industries: An Analytical Framework
[Accounting, Management and Organizations]
We illustrate a streamlined and structured framework to analyze business drivers of companies from a wide range of industries, excluding financial services. This helps us understand their narrative, drill into their financial statements, and assess competitive advantage.
Y
Building Business Plans
[Accounting, Entrepreneurship] Entrepreneurs and promoters seeking funds to launch or grow a business need to present a business plan to investors. Executives managing a business need a business plan to monitor whether business outcomes are tracking expectations. This course covers how to integrate forecasts of key business drivers into financially viable plans using Excel. It focuses on building business plans, not financial statement modeling for valuation, or statistical forecasting.
Y
Renewable Energy and Electric Vehicle Industries
[Accounting, Sustainable Business] We analyze the renewable energy and electric vehicles industries from the perspective of entrepreneurs, managers, and investors. We cover the following: (1) Explain key financial metrics, such as the levelized cost of energy, that are used to evaluate renewable energy sources. (2) Build simple financial models of renewable energy projects to understand their financial foundations. (3) Analyze financial statements of renewable energy and electric vehicle industries to understand their business drivers.
Y
Analysis of Financial Institutions
[Accounting] This course analyzes financial statements of financial institutions from the perspective of investors, bankers, and consultants. It provides a framework to identify, understand, and analyze key performance metrics of banks.
Y
Financial Statement Analysis
[Accounting] This course helps you understand the flow of money in a business and its link to shareholder value and credit ratings. The course presents a framework for analysis and provides spreadsheets to implement the framework.
Y
Y
Practical Business Analysis Using Excel with AI
[General Business] You will learn how to analyze a business and build practical scenarios using Excel and AI tools. You will gain hands-on business analysis experience integrating core business concepts across various disciplines. You will have a framework for introductory business analysis and a toolkit to implement it with Excel and the latest AI tools. Learning to translate your thoughts to spreadsheets helps you think clearly, sequentially, and logically. Employers highly value these skills and will help you with your internships.
Y
Advanced Managerial Accounting
[Accounting] This course follows the Managerial Accounting course and covers the internal accounting tools crucial for managerial decisions. It covers four themes: cost analysis, investment evaluation, incentives, and interdependencies. Cost analysis will cover non-linear costs, activity-based costing, and value chain analysis. Investment evaluation will cover various value metrics, ROI, KPIs, and real options. Incentives will cover designing pay for performance and advanced budgeting. Interdependencies will tackle joint costs, bundled products, and transfer pricing. 		 
Y
Introduction to Programming for Data Science This course is the recommended first course for undergraduates who 1) want to work in the rapidly growing fields of data science and data analytics or 2) who want to acquire the technical and data analysis skills needed in other disciplines such as finance and marketing. The course provides an introduction to programming (using Python).
Programming & Algorithms using Python This course is the recommended second course for undergrads who know the basics of Python and want to learn structured programming and algorithms.
Databases for Business Analytics This course is the recommended first course for undergrads who 1) want to work in the rapidly growing fields of data science and data analytics or 2) want to acquire the technical and data analysis skills needed in other disciplines, such as finance and marketing. The course covers data organization, storage, and retrieval of structured (record-based) data using SQL.
SQL Boot camp SQL is the lingua franca of all database systems and is necessary for anyone who needs to analyze data as part of their job. This workshop, delivered by Professor Dan Gode, is designed for absolute beginners and teaches students how to write SQL queries that retrieve data from a database.  
Y
Taxes and Business Strategy This course explains how taxes affect mergers, acquisitions, divestitures, valuation, capital structure, employee compensation, foreign operations, alternative investment vehicles, and deferred taxes, including net operating losses. The course also covers the key provisions of the 2017 Tax Cuts and Jobs Act.
Accounting and Analysis in Practice The course explains how managers communicate their strategy and financial performance via financial statements and how bankers and financial analysts use them. It teaches these practical aspects via traditional cases and discussions with industry professionals. The course leverages our NYC location by offering a unique opportunity to interact with NYC finance professionals.
Taxation of Individuals This course explains federal income tax concepts and their applications via practical spreadsheets to undergraduate and graduate accounting majors. While its focus is taxes for individuals and their business income, it also introduces federal income taxes for corporations and partnerships.
MS in Accounting Summer '26 Fall '26 Spring '27
Advanced Accounting Concepts:
Acquisitions, Taxes, FX Translations, and Cash flows This advanced course is part of the NYU Stern MS in Accounting program. It will teach you the following topics crucial for a graduate degree in accounting. These topics will be intense, but the knowledge gained will be highly useful in your career.
Y
Information Technology for Accounting and Controls This course introduces the role of information technology in understanding, implementing, and analyzing accounting and controls concepts. Students will develop a foundational understanding of computer architecture, software systems, and modern data tools, and apply these concepts to represent accounting processes in structured formats such as Excel and Python.
Y
Financial Accounting for MSA This course will explain financial accounting from a new angle so that you have some of the background necessary for intermediate courses in financial reporting, analysis, and modeling. The course presents a framework for analysis and provides spreadsheets to implement the framework.
Financial Statement Analysis for MSA
BS/MS in Accounting Summer '26 Fall '26 Spring '27
Advanced Accounting Concepts This course covers the following topics that are crucial for a graduate degree in accounting. Learning these topics will be intense, but the knowledge gained will be highly useful in your career.
Y
NYU Tandon: Finance and Risk Engineering Summer '26 Fall '26 Spring '27
Financial Statements: Modeling and Analytics Modeling financial statements is vital to finance The course teaches two sets of skills: modeling financial statements and financial statement analytics. The first part establishes the framework needed to link financial statements to valuation, including identifying key metrics. The second part shows how to use modern tools (Python) to extract these metrics from historical financial statement data.
Valuation for Financial Engineering  
MS in Shanghai Summer '26 Fall '26 Spring '27
MSDABC: Dealing with Data & Introduction to Python
Y
MSDABC: Data Visualization
Y
MSMRS: Dealing with Data & Introduction to Python
Y
MSOMS: Managing Money Flows and Building Business Plans
Y
Stern Precollege Summer '26 Fall '26 Spring '27
Business and Investments