Tools and Software for Statisticians

Objectives

LaTeX: The Latex language makes it possible to produce high-quality documents and easily integrate formulas and diagrams into them. The aim of this course is to make students aware of the power of this language, and to give them the elements they need to progress independently in the use of this tool for the production of various documents: summary notes, reports, presentations, etc.

Git : Git is decentralized version management software. This tool is essential for effective collaboration within and between work teams, particularly when working on a program or software brick.

Notebook Jupyter: Jupyter notebooks offer a simple way of mixing code and results (numerical or figures) to provide a proof of concept, particularly in Python. Students will learn how to use them.

Libreoffice Calc (optional): Spreadsheet software is widely used by statisticians as a complement to more comprehensive tools. In this course, students will learn the basics of LibreOffice Calc. They will learn how to use the "database" and "statistics" functions of a spreadsheet program.

Course outline

1. Latex

a. Language basics

b. The main Latex modules

c. An example: the briefing note

d. Creating a presentation with the Beamer module

2. Git

3. Notebook Jupyter

4. LibreOffice Calc [Optional]

a. Formula management

b. Filters

c. Crosstabs

d. Conditional formatting

e. Solver

f. Matrix calculation

g. Graphs and statistical functions, linear regression

Prerequisites

None