Business Finance and Data Analysis Fundamentals Specialization course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This specialization is designed for MBA aspirants and business beginners, offering a concise yet practical foundation in finance, accounting, and data analysis. The program consists of three core courses and a final project, totaling approximately 27 hours of flexible learning. You'll gain fluency in financial statements, valuation, corporate finance principles, and data-driven decision-making using Excel. Developed by Rice University faculty, this beginner-friendly curriculum is ideal for non-finance professionals aiming to strengthen their analytical and financial acumen.

Module 1: Accounting for Non-Finance Professionals

Estimated time: 5 hours

  • Introduction to the four primary financial statements
  • Understanding the interconnections between financial statements
  • Recording transactions using debits, credits, and journal entries
  • Accrual vs. cash accounting concepts
  • Building financial statements from transaction data

Module 2: Finance for Non-Finance Professionals

Estimated time: 3 hours

  • Financial valuation fundamentals
  • Time value of money: compounding and discounting
  • Introduction to capital budgeting and investment decisions
  • Risk-return tradeoffs in corporate finance
  • Basics of financial modeling in Excel

Module 3: Introduction to Financial Statements and Reporting

Estimated time: 4 hours

  • Constructing a balance sheet and income statement
  • Interpreting the cash flow statement
  • Understanding changes in equity
  • Using financial statements for performance analysis
  • Foundations of financial reporting practices

Module 4: Data Analysis for Managerial Decision-Making

Estimated time: 15 hours

  • Descriptive statistics and data summarization
  • Probability distributions and their business applications
  • Hypothesis testing for decision-making
  • Simple and multiple regression analysis
  • Interpreting data to solve real-world business problems

Module 5: Integrating Finance and Data for Business Strategy

Estimated time: 3 hours

  • Applying financial models to strategic decisions
  • Using Excel for financial modeling and visualization
  • Combining accounting insights with data analysis
  • Decision frameworks in corporate finance and management

Module 6: Final Project

Estimated time: 5 hours

  • Construct and analyze a complete set of financial statements
  • Perform a discounted cash flow valuation
  • Apply regression analysis to business performance data

Prerequisites

  • Familiarity with basic business concepts
  • Basic computer skills and access to Microsoft Excel
  • No prior finance or accounting experience required

What You'll Be Able to Do After

  • Construct and interpret the four main financial statements
  • Apply time value of money and discounted cash flow techniques
  • Use Excel for financial modeling and data visualization
  • Analyze business decisions using probability and regression
  • Demonstrate financial and analytical proficiency relevant to MBA programs and entry-level corporate roles
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