Do you know that quantitative methods strongly increases the possibilities to complete a research degree or getting research published?

IIPER | Quantitative Research Methods

International Institute of Professional Education and Research (IIPER)® -Verified Training Program

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

Total Training Value £1,924

LIFETIME ACCESS to the materials, videos, excel models, and future updates. Five (5) units with the most important approaches for risk quantification (Certificated of Completion + 20 CPDs IIPER)

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OSL Analytics Academy, in collaboration with the International Institute of Professional Education and Research (IIPER) and other affiliated learning providers, has decided to enhance professional development using this online platform with accelerated executive programs in quantitative research methods, risk management, data science, project management, decision analytics, real options, among other initiatives.

LIFETIME ACCESS to the materials, videos, excel models, and future updates. Twenty (20) units with the most common approaches for Quantitative Research Methods (Certificated of Completion + 20 CPDs IIPER)

Hands-on "Risk Simulator" and "ROV BizStats" with applications and case studies. Ebooks included!

20 Units to learn and apply statistical and numerical methods to research

  • General Overview

    Unit 1 provides a course overview as well as an analytics overview of the software applications we will be using throughout the course.

    Unit 2 covers research basics, such as epistemology and philosophy of research, as well as theoretical constructs, specifically, what a theory is, what the attributes of a good theory are, and so on.

  • Experimental Design and Statistics

    Unit 3 introduces experimental design and research layout.

    Unit 4 presents an overview of applied statistical quantitative methods.

    Unit 5 starts off with descriptive statistics, or, in other words, the computation of mean, median, mode, and other distributional statistics.

  • Probability Theory and Analysis

    Unit 6 looks at basic probability and probability rules.

    Unit 7 covers discrete probability and continuous probability distributions.

    Unit 8 concludes with a combination of 50 probability distributions and how they are mathematically interchangeable or converted under certain circumstances.

  • Hypothesis Testing and BizStats

    Unit 9 introduces hypothesis-testing approaches, including the confidence interval, p-values, interpretations, and hypothesis statement.

    Unit 10 covers the application of the ROV BizStats software, as it will be required, starting from that unit onwards, for all of course assignments and quizzes.

  • Parametric and Nonparametric Analysis

    Units 11, 12, and 13 consider statistical methods of a single variable, two variables, and multi-variable analysis, including parametric and non nonparametric methodologies.

  • Validity and Reliability

    Unit 14 is focused on the validity and reliability of your data and model. Any researcher worth their salt should be able to say if the results are valid, if the results and the conclusions are reliable, or if the data being used to derive the results are reliable and valid.

  • Forecasting and Predictive modeling

    Units 15 and 16 starts off with the basics of forecasting such as time-series forecast and cross-sectional forecasting, and moving on to more advanced methodologies like Markov chains, ARIMA models, neural networks, fuzzy logic, GARCH models, and so forth.

  • Monte Carlo Simulation and Advanced Analytics

    Units 17 and 18 dives into Monte Carlo simulation. We will start off with the basics and then move on to more complicated simulations using copula-based correlation assumptions.

    Unit 19 looks at more advanced data analytics capabilities, such as tornado analysis, dynamic sensitivity analysis, nonparametric bootstrap simulations, and so forth.

  • Optimization

    Unit 20 covers portfolio optimization, decision variables, constrains, static optimization, dynamic optimization, and stochastic optimization under uncertainty, where iterations of simulation and optimization methods are combined.

Bonus material to keep your research goals clear and concise conducting quantitative research

  • Ebooks

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

  • Bonus material

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

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  • 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.

Course Learning Outcomes:

Enhance your Quantitative Research Skills

  • 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.

Quantitative Research Methods help to analyse numerical data, find patterns, run Monte Carlo simulations, make predictions, test causal relationships, and generalize results to wider populations

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

🎙 Expert

👨‍⚖️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

Testimonials

Praise for "Quantitative Research Methods" and the instructor

“⭐⭐⭐⭐⭐ - Clearly organized training in "Quantitative Research Methods", which covers a large number of numerical and statistical methods applied to research. Hands-on BizStats and Risk Simulator definitely provide a plus to get useful analysis and conclusions from the data.”

Associated Professor

Dr Luis Enrique Pedauga

“⭐⭐⭐⭐⭐ Outstanding training! Full range of flexible methodologies to conduct quantitative research. Dr Mun emphasizes multiple objective measurements and statistical methods to formally test hypotheses, run simulations and make predictions. ”

Lecturer in Accounting and Finance

Dr Rexford Attah-Boakye

“⭐⭐⭐⭐⭐ A step-by-step approach to help scholars and professionals to implement quantitative methods into research. The software applications used during the course are powerful tools to analyse data, study our variables, validate our models, and support our findings.”

Research Fellow European Commission

Dr Agustin Velazquez