ecbs-5208-coding-1-business-analytics's Introduction

ECBS-5208-Coding-1-Business-Analytics

ECBS5208 - Coding 1: Data Management and Analysis with R for Business Analytics Track 2021/22 Fall.

This is the repository of the Coding 1: Data Management and Analysis with R course in the 2021/2022 Fall term, part of the MSc in Business Analytics at CEU.

Syllabus

Please find it in the Syllabus folder of this repository.

Please bring your own laptop and make sure to install the below items before attending the first class:

Install R from https://cran.r-project.org
Install RStudio Desktop (Open Source License) from https://www.rstudio.com/products/rstudio/download
You probably already have a git and GitHub account, but if not install git from https://git-scm.com/ and register an account at https://github.com
Open RStudion and enter the following commands in the R console (bottom left panel of RStudio) and make sure you see a plot in the bottom right panel and no error messages in the R console:

install.packages('tidyverse')
library(ggplot2)
ggplot(diamonds, aes(cut)) + geom_bar()

During the course it is required to use your GitHub account.
Assignments must be uploaded to your GitHub repo, which needs to be shared with @regulyagoston.
You may use Shell/Terminal, GitHub Desktop (or other application), or can use RStudio as well to commit and push/pull to your repo.
- You may check out the guide for Help for GitHub and RStudio.

RMarkdown is a powerful tool, provided in RStudio, which helps to create reports rigorously, automatize reports, create an Html, etc.
During this course and Data Analysis 2 some of the assignments will be required as an output from RMarkdown.
However, in many cases it is not easy to get started with RMarkdown and knit your first document especially in pdf format as it is likely to give an error.
- You may check out the guidance on Help to knit my document in RMarkdown.

If in doubt feel free to contact me via email: [email protected].

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