Course curriculum

  • 1

    Unit 1: Course Intro and BizStats & Risk Simulator Introductions (50 min)

    • Course and BizStats Introduction (22 min)

    • Risk Simulator Introduction (27 min)
  • 2

    Unit 2: Epistemology, Theory, Research Basics, Sampling Theory, and Qualitative Research (40 min)

    • Epistemology and Theory (21 min)

    • Research Basics, Sampling Theory, and Qualitative Research (20 min)
  • 3

    Unit 3: Design of Experiments and Research Layout (50 min)

    • Design of Experiments (24 min)

    • Research Layout (26 min)
  • 4

    Unit 4: Overview of Quantitative Methods (15 min)

    • Overview of Quantitative Methods (15 min)
  • 5

    Unit 5: Descriptive Statistics and Correlations (50 min)

    • Descriptive Statistics (27 min)

    • Correlations (23 min)
  • 6

    Unit 6: Basic Probability and Bayes Theorem (25 min)

    • Basic Probability and Bayes Theorem (25 min)
  • 7

    Unit 7: Discrete Probability Distributions (25 min)

    • Discrete Probability Distributions (25 min)
  • 8

    Unit 8: Continuous Probability Distribution (25 min)

    • Continuous Probability Distribution (25 min)
  • 9

    Unit 9: Hypothesis Testing (25 min)

    • Hypothesis Testing (25 min)
  • 10

    Unit 10: ROV BizStats Software (20 min)

    • ROV BizStats Software (20 min)
  • 11

    Unit 11: Parametric Methods (30 min)

    • Parametric Methods (30 min)
  • 12

    Unit 12: Nonparametric Methods (25 min)

    • Nonparametric Methods (25 min)
  • 13

    Unit 13: Multiple Regression (35 min)

    • Multiple Regression (35 min)
  • 14

    Unit 14: Validity and Reliability (40 min)

    • Validity and Reliability (40 min)
  • 15

    Midpoint Course Check-In (90 min)

    • Manual Computations: T-Tests, ANOVA, Multiple Regression (OLS Optimization, Differential Equations, Matrix Calculation) (32 min)

    • Statistical Software Review: Excel, VBA, BizStats, Risk Simulator, IBM SPSS, Minitab, EVIEWS, SAS JMP, R Studio, IBM DB2, Access SQL, QDM, Python (58 min)
  • 16

    Unit 15: Forecasting Theory (25 min)

    • Forecasting Theory (25 min)
  • 17

    Unit 16: Forecasting, Time-Series Analysis, J- and S-Curves, Stochastic Processes, ARIMA, Econometrics, GARCH, Cubic Spline, LIMDEP, Stochastic (55 min)

    • Forecasting, Time-Series Analysis, J- and S-Curves, Stochastic Processes (27 min)

    • ARIMA, Econometrics, GARCH, Cubic Spline, LIMDEP, Stochastic (28 min)

  • 18

    Unit 17: Monte Carlo Theory and Application (20 min)

    • Monte Carlo Theory and Application (20 min)

  • 19

    Unit 18: Monte Carlo Applications, Distributional Fitting, Custom Distribution, Bootstrapping, Multidimensional, Correlation, Precision, and Simulated Dynamic Decision Tree (120 min)

    • Monte Carlo Applications, Distributional Fitting, Custom Distribution (67 min)

    • Bootstrapping, Multidimensional, Correlation, Precision, and Simulated Dynamic Decision Tree (55 min)
  • 20

    Unit 19: Tornado, Scenario Analysis, Dynamic Overlay Charts, Segmentation Clustering, Structural Breaks, and Statistical Analysis (30 min)

    • Tornado, Scenario Analysis, Dynamic Overlay Charts, Segmentation Clustering, Structural Breaks, and Statistical Analysis (30 min)
  • 21

    Unit 20: Optimization Theory and Application, Efficient Frontier Optimization, Objectives, Constraints, Decision Variables, and Simulation Assumptions in Optimization (50 min)

    • Optimization Theory and Application (24 min)

    • Efficient Frontier Optimization, Objectives, Constraints, Decision Variables, and Simulation Assumptions in Optimization (25 min)