README.Rmd

---
output: github_document
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r, echo=FALSE, message=FALSE, warning=FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-"
)

library(introDS)
```

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# Introduction to Data Science `r emo::ji("sunglasses")` <a href="https://data-analytics-lab.net/"><img src="man/figures/logo.png" align="right" alt=" " width="230"></a>

The objective of the `introDS` package is to provide a support for the course entitled "Introduction to Data Science" given at University of Geneva. This course is intended to provide an introduction to statistical programming using the R language. It will also provide students with notions of data management, manipulation and analysis as well as of reproducible research, result-sharing and version control (using GitHub). At the end of the class, students should be able to automatically extract data from websites and create interactive web apps as well as dynamic reports to visualize and analyze them. Students should also be able to construct their own R packages, make them available on GitHub and document them using literate programming. This package is linked to the ebook [An Introduction to Statistical Programming Methods with R](http://r.smac-group.com).

# Installation Instructions `r emo::ji("computer")`

The `introDS` package is currently only available on GitHub. This version can be installed as follows:

```{r, eval = F}
# Install dependencies
install.packages(c("devtools","knitr","rmarkdown"))

# Install the package from GitHub
devtools::install_github("SMAC-Group/introDS")
```