Data Science
Coming soon…
This section will comprise of necessary quantitative skills that psychologists should understand from data science, probability, statistics, and research methods.
A psychologist primarily needs to understand the essential toolkit for conducting quantitative research is that of research methods. This essentially comprises some fundamentals from data science, statistics, and philosophy. Here we will primarily focus upon the quantitative and inferential philsophy of applying statistical models and rudimentary data cleaning for student’s in psychology to understand how to appropriately apply their understanding of the world via a modelling perspective over data and an informed toolkit of methods in research.
What We Offer
(~IN DEVELOPMENT~) Learn some prerequisite skills on algebra, calculus, and lastly linear algebra for data science.
(~IN DEVELOPMENT~) Learn some prerequisite skills on Probability Theory and other theories such as measure theory, spaces, conditional probability for data science.
(~IN DEVELOPMENT~) Learn the fundamental statistical models that you need to implement from the modelling perspective
(~IN DEVELOPMENT~) Read this page to understand some core topics on Research methods
Data-sets
The repository for most of the files for the the data-sets used in these pages can be found here: Link
