IIPER - KGI | Quantitative Research Methods

IIPER-KGI | Quantitative Research Methods

Learn to perform quantitative research using Econometrics, Multivariate Regression, Parametric and Nonparametric Hypothesis Testing, Monte Carlo Risk Simulation, Predictive Modelling and Forecasting, Optimization, Data Analytics, Business Intelligence, and Decision Modelling for Graduate, Doctoral, Postgraduate Research Students, Scholars, and Professionals.

Kenwiz and Gold International

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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

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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.

For all enquiries please contact the KGI training team on +234(0)8139463968 or at [email protected]

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

1. Welcome to Quantitative Research Methods
2. Course Overview in a Nutshell
3. Introduction to the Quantitative Research Methods Course
4. Quantitative Research Methods Infographic
5. Overview of Risk Simulator
6. Course Syllabus and Policy
1. Epistemology and Theory
2. Research Basics, Sampling Theory, and Qualitative Research
3. Theory and Sampling Quiz
1. Design of Experiments
2. Research Layout
3. Design of Experiments Quiz
1. Overview of Quantitative Methods
2. Hypothesis Quiz
1. Descriptive Statistics
2. Correlation
3. Moments and Correlations Quiz
1. Basic Probability and Bayes Theorem
2. Probability Rules!
1. Discrete Probability Distributions
2. Discrete Probability Distribution Quiz
1. Continuous Probability Distribution
2. Continuous Probability Distribution Quiz
1. Hypothesis Testing
2. Central Limit Theorem Quiz
1. Introduction to the ROV BizStats Software and Data Types
1. Parametric Methods
2. Parametric Tests Quiz
1. Nonparametric Methods
2. Nonparametric Tests Quiz
1. Multiple Regression, Stepwise Regression, Functional Forms, and Basic Econometrics (35 min)
2. Regression Quiz
1. Validity and Reliability
2. Validity and Reliability Quiz
1. Forecasting Theory
2. Forecasting Quiz
1. Forecasting, Time-Series Analysis, Fuzzy Logic, Neural Network, J-Curve, and S-Curve
2. Forecasting, Stochastic Processes, ARIMA, Econometrics, GARCH, Cubic Spline, and Limited Dependent Variables
3. Forecasting Quiz
1. Monte Carlo Theory and Application
1. Monte Carlo Applications, Distributional Fitting, Custom Distribution
2. Nonparametric Bootstrapping, Multidimensional Simulation, Correlated Simulation, Precision Controls, and Simulated Dynamic Decision Tree
3. Simulation Quiz
1. Tornado, Scenario Analysis, Dynamic Overlay Charts, Segmentation Clustering, Structural Breaks, and Statistical Analysis
2. Data Analytics Quiz
1. Optimization Theory and Application
2. Efficient Frontier Optimization, Objectives, Constraints, Decision Variables, and Simulation Assumptions in Optimization
3. Optimization Quiz
1. Final Project Assignment
2. General Survey | Online Training Course

About this course

Free
50 lessons
12.5 hours of video content

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

Enter to Quantitative Research Here

"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"

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