An online course linking the digital age, data science and statistics.
Welcome to the session entitled Quantitative methods. This session is organized around the following themes:
The importance of data in the digital transformation of companies and societies.
The importance of understanding artificial intelligence methods, particularly machine learning, for data analysis.
The importance of the new quantitative methods known as data science for international business research.
The sequences are organized around videos and playful demonstrations of how to use R code to answer questions that couldn’t be easily answered with traditional tools. To do this, you’ll use our technology platform, without having to install anything.
The main objective of this session is to explain the importance for the 21st century manager of developing a sufficient level of literacy on data science. Data science is the combination of traditional quantitative methods, algorithms and disciplinary knowledge, in this case international business.
It’s not just about understanding and using quantitative methods to analyze data, it’s also about understanding that data is becoming the new DNA of businesses, of our societies, and of new business models.
In terms of simulation, you’ll be put in a situation that’s the WHO’s with Covid-19, and you’ll be using a data package that’s updated every day and collects all the scientific publications on coronaviruses on the planet:
[Click on the triangle for more information]
An introduction to the powerful Data Revolution. In this sequence, we’ll discuss the Industrial Revolution 4.0 and its impact on the digital transformation of businesses and our societies.
The main interests are to study the evolution of statistics and to define data science.
The main aim of this sequence is to look at research based on data science. In particular, you’ll be using a data package that’s growing every day and collects all the scientific work on the planet about coronaviruses, see the publication here:
In this course, you will have access to some of the tools we use within our data science platform in our lab http://lab.nuance-r.com. Use of these tools requires adherence to our code of honor.
Fostering a supportive online learning environment is essential.
In our lab, we believe it’s essential that all participants embody and uphold our community values in order to foster a supportive e-learning environment where individuals can have open discussion, reflect on their thinking and learn from each other.
A code of honor and respect.
Our Code of Honor complements the Community Values Statement and reflects the commitment of participants as members of the learning community to participate in, foster and maintain our laboratory learning model.
That’s it!
For attribution, please cite this work as
Warin (2024, Feb. 2). Thierry Warin, PhD: [Course] Quantitative methods. Retrieved from https://warin.ca/posts/course-m-qualitatives-session-en/
BibTeX citation
@misc{warin2024[course],
author = {Warin, Thierry},
title = {Thierry Warin, PhD: [Course] Quantitative methods},
url = {https://warin.ca/posts/course-m-qualitatives-session-en/},
year = {2024}
}