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"A good story supported by quantitative methods increases the possibilities to complete a research degree or getting research published"

Prof. Dr Johnathan Mun, PhD, MS, MBA, BS, CQRM, FRM, CFC, MIFC

By the end if this course, you will have

  • Expert Insight

    Basics of philosophy of research and knowledge, descriptive and inferential statistics, Econometrics, Multivariate Regression, and Parametric and Nonparametric Hypothesis Testing

  • Modeling Capabilities

    Fundamentals of Monte Carlo Risk Simulation, Predictive Modelling and Forecasting, Decision Trees, Optimization, Data Analytics, Business Intelligence, among other methodologies.

  • Quantitative Research Skills

    For Graduate, Doctoral, Postgraduate Research Students, Scholars, and Professionals using ROV BizStats and Risk Simulator software and applications.

Enhance your Research Skills

Wide range of statistical techniques available to analyse quantitative data

Course Learning Outcomes:

Derive insights and conclusions from data

  • In this course, you will learn across 20 Units how to widely use quantitative research methods into natural, engineering, finance, and social sciences

  • The aim is helping you with statistical and numerical methods for descriptive, correlational or experimental research, including simulations and optimizations

  • This training will give strategies to summarize your data, include statistical moments, and use graphs and tables to visualize your data and results and check for any trends or outliers.

  • You will also have opportunities to enhance new technological skills using the software Risk Simulator and BizStats to get hands-on the Final Project (part of the course materials) and use them for your research projects.

Course curriculum

20 Units to learn and apply statistical and numerical methods

  • 02

    Unit 2: Epistemology, Theory, Research Basics, Sampling Theory, and Qualitative Research

    • Epistemology and Theory

    • Research Basics, Sampling Theory, and Qualitative Research

    • Theory and Sampling Quiz

  • 03

    Unit 3: Design of Experiments and Research Layout

    • Design of Experiments

    • Research Layout

    • Design of Experiments Quiz

  • 04

    Unit 4: Overview of Quantitative Methods

    • Overview of Quantitative Methods

    • Hypothesis Quiz

  • 05

    Unit 5: Descriptive Statistics and Correlations

    • Descriptive Statistics

    • Correlation

    • Moments and Correlations Quiz

  • 06

    Unit 6: Basic Probability and Bayes Theorem

    • Basic Probability and Bayes Theorem

    • Probability Rules!

  • 07

    Unit 7: Discrete Probability Distributions

    • Discrete Probability Distributions

    • Discrete Probability Distribution Quiz

  • 08

    Unit 8: Continuous Probability Distribution

    • Continuous Probability Distribution

    • Continuous Probability Distribution Quiz

  • 09

    Unit 9: Hypothesis Testing

    • Hypothesis Testing

    • Central Limit Theorem Quiz

  • 10

    Unit 10: ROV BizStats Software

    • Introduction to the ROV BizStats Software and Data Types

  • 11

    Unit 11: Parametric Methods

    • Parametric Methods

    • Parametric Tests Quiz

  • 12

    Unit 12: Nonparametric Methods

    • Nonparametric Methods

    • Nonparametric Tests Quiz

  • 13

    Unit 13: Multiple Regression

    • Multiple Regression, Stepwise Regression, Functional Forms, and Basic Econometrics (35 min)

    • Regression Quiz

  • 14

    Unit 14: Validity and Reliability

    • Validity and Reliability

    • Validity and Reliability Quiz

  • 15

    Check In & Review

    • 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

    • Forecasting Theory

    • Forecasting Quiz

  • 17

    Unit 16: Forecasting, Time-Series Analysis, J- and S-Curves, Stochastic Processes, ARIMA, Econometrics, GARCH, Cubic Spline, and Limited Dependent Variables

    • Forecasting, Time-Series Analysis, Fuzzy Logic, Neural Network, J-Curve, and S-Curve

    • Forecasting, Stochastic Processes, ARIMA, Econometrics, GARCH, Cubic Spline, and Limited Dependent Variables

    • Forecasting Quiz

  • 18

    Unit 17: Monte Carlo Theory and Application

    • Monte Carlo Theory and Application

  • 19

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

    • Monte Carlo Applications, Distributional Fitting, Custom Distribution

    • Nonparametric Bootstrapping, Multidimensional Simulation, Correlated Simulation, Precision Controls, and Simulated Dynamic Decision Tree

    • Simulation Quiz

  • 20

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

    • Tornado, Scenario Analysis, Dynamic Overlay Charts, Segmentation Clustering, Structural Breaks, and Statistical Analysis

    • Data Analytics Quiz

  • 21

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

    • Optimization Theory and Application

    • Efficient Frontier Optimization, Objectives, Constraints, Decision Variables, and Simulation Assumptions in Optimization

    • Optimization Quiz

  • 22

    Final Project

    • Final Project Assignment

    • General Survey | Online Training Course

Bonus material

Keep your research goals clear and concise conducting quantitative research

  • E-Books

    Course e-books in Quantitative Research to cover applied Econometrics, Multivariate Regression, Monte Carlo Risk Simulation, Forecasting, Optimization, and so forth.

  • Lifetime Access

    Lifetime access to the training videos, pdf files, models, support material, and any future course updates.

  • Software Applications

    One-year copy of Risk Simulator with ROV BizStats for use in the course and research studies, including examples, case studies and applications.

Meet your Course Leader

Prof. Dr Johnathan Mun | PhD, MS, MBA, BS, CQRM, FRM, CFC, MIFC

👨‍⚖️Chairman of OSL Analytics Academy (UK) and CEO of Real Options Valuation (US).

🏛 Dr Mun is the IIPER-CQRM’s Program Director coordinating worldwide executive programs and professional accreditations in quantitative methods and risk management and enhancing high-quality teaching across OSL Analytics Academy and among the IIPER Certified Trainers.

👨‍🎓 He has a Ph.D. in finance and economics, an MBA in business administration, an M.S. in the area of management science, and a BS in applied sciences. He is certified in Financial Risk Management (FRM), Certified in Financial Consulting (CFC), and Certified Quantitative Risk Management (CQRM).

👨‍🏫 As the software's creator, with more than 12 patents and 10,000 pages of copyrighted materials, he teaches Risk Analysis, Real Options for Analysts, Risk Analysis for Managers, CQRM, and other courses. He has written over 25 books on the topic of risk management. Dr. Mun has consulted many Fortune 500 firms and the U.S. Department of Defence.

📚 He is also a full professor at the U.S. Naval Postgraduate School and has held other adjunct professorships at various universities. In addition, he has published more than 200 academic articles in top well-know peer-review journals.

👍ResearchGate Profile

"Analyze numerical data, find patterns, make and validate predictions, and test causal relationships by applying statistical and numerical methods to derive insights and conclusions from data"