Rstudio Study guides, Revision notes & Summaries

The summary includes Babbie's book and micro lectures from the University of Twente.

This document contains the content of STA130 studied between the midterm and final. This includes linear regression, classification trees and ethics in data science / statistics. This aid sheet assisted me in getting an A+ on the final. Feel free to use this as inspiration for layout/content to include on your aid sheet.

Lecture slides with some additional information + practice questions are also written through the document.

Using Rstudio, in-depth research was done on China's rise since 1990s.

This is the study document I used to study for the midterm. We were able to use an aid sheet during the exam, and you can use this to inspire the content and layout of yours. I would add more information on confidence intervals, and more code examples.

A well written summary for the course Statistics 1 at TiU. The summary introduces Statistics theory and how to write this in R code. It also introduces Rstudio. The whole summary is divided into chapters and subchapter and contains R code examples in the form of images. Summary is based on the book Navarro, D. (2015). Learning statistics with R.

THE ONLY SUMMARY YOU WILL HAVE SEEN THAT ACTUALLY COVERS THE WHOLE BOOK! ALL THE OTHERS SEEM TO STOP AT CHAP 14, BUT YOUR CLASS GOES OVER THE ENTIRE BOOK SO THIS IS SUPER HELPFUL!! Good stuffs, complete summary of the whole book. READ THE INTRODUCTION BELOW : INTRODUCTION Corporate finance has three main areas of concern: capital budgeting, capital structure, and working capital management. The goal of financial management in a for-profit business is to make decisions that increase th...

Samenvatting van de slides en lessen FSAN van Kris Boudt. Bij gebrek aan een cursus heb ik zelf deze gemaakt. Alles staat er in, alsook de 'R Studio scripts' zoals gezien in de slides.

notes from the lectures of Collecting, Visualizing and Analyzing, first year course Future Planet Studies.

Summary of lectures and readings for the Introduction to Quantitative Methods (PUBL055) course at UCL. Includes revision notes on Rstudio, regression, causal inference, counterfactuals, potential outcomes, difference in difference designs, standard errors, p-values, confidence intervals, etc.