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Collecting Twitter Data

Method for retrieving tweets using the rtweet package.

API: newsAPI

Access to breaking news headlines and articles from over 30,000 news sources and blogs through the newsAPI API.

bibliometrix: An R-Tool for Bibliometric Analysis

To customize the chunk output with chunk options.

Chunk Options in R Markdown

To customize the chunk output with chunk options.

Open and Plot Shapefiles in R

To use shapefiles for maps.

PDF Text Extraction

To automatically pull out tables and text from PDFs.

Structural Topic Model: stm R package

Flexibly estimate a topic model that includes document-level metadata.

Portfolio Management Simulation

M.Sc. Financial Markets & Investments.

API : covidvirus

Access data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic through the covidvirus API.

API: bea.R

Access Bureau of Economic Analysis' statistics through the bea.R API.

API: spiR

Access open data on the Social Progress Index and more through the spiR API.

API: statcanR

Access Canada's economy, society and environment data through the statcanR API.

API: comtradr

Access detailed global trade data through the Comtrad API.

API: fredr

Access 670,000 US and international time series through the fredR API.

API: Quandl

Access financial and economic data through the Quandl API.

API: quantmod

Access financial data through the quantmod API.

API: rnassqs

Access USDA agricultural data through the rnassqs API.

API: WDI

Access global development data through the WDI API.

API: eurostat

Access statistics at European level through the Eurostat API.

API: OECD

Access OECD countries and selected non-member economies data through the OECD API.

Bootcamp 1: The fundamentals in R

Data types and structures in R, inputting & outputting data and manipulating data sets.

Text Mining with R: The case of Tweets

Based on the methodology of the book "Text Mining with R", you will learn to do text mining on tweets.

How to: Use ggplot2 builder

Familiarize yourself with the simple graphical user interface to only drag-and-drop to create graphs.

Loops and Statements with R

Familiarize yourself with ifelse and if...else statements. Also use For and While loops to repeat a specific block of code.

Data Visualization with R: Interactive Maps

Learn to use the Leaflet R package that makes easy to integrate and control interactive maps.

Data Visualization with R: Maps

Let's concentrate on using ggplot2 data for maps and creating maps.

How to: Create Flexdashboards

Create easy interactive dashboards for R.

Data Visualisation with R: Options

Learn how to use the multitude options included in the ggplot2 package such as themes, scales, axes, legends, and facetting.

Data Visualization with R

Learn how to use the ggplot2 package to create visuals in R.

How to: Write a CV with R Markdown

The process of maintaining a CV can be tedious. With the vitae package, creating and maintaining a Résumé or CV will be simple.

How to: Use Zotero with SKEMA Quantum Studio

Make your reproducible research more easier by learning to use Zotero with SQS.

How to: Install R and Rstudio on Local

A beginner guide to install R and Rstudio yourself.

How to: Connect SKEMA Quantum Studio to GitHub

Integrate GitHub into your daily work with R and R Markdown.

How to: Create a Distill article

Learn the Distill Basics for scientific and technical writing, native to the web.

Data Wrangling with R: Computing Summary Statistics

Splits the data into subsets, computes summary statistics for each, and returns the result in a convenient form.

Data Wrangling with R: Combining Tables

Use different techniques of combining tables such as mutating join, filtering join and biding.

Data Wrangling with R: Reshaping and Subsetting

Learn how to reshape and subset your data.

Data Wrangling with R

Learn how to rename, create and delete variables. Also learn how to convert text case, replace or remove specifics characters. Finally, learn how to handle missing values.

R nanocourse 1. Reproducible Workflow

Familiarize yourself with the RStudio environment, an integrated development environment using the R programming language as well as Markdown.

R nanocourse 2. Data Import and Graphics

Learn about the C-V-A approach: Collect, Visualize, Analyze.

R nanocourse 3. Data Wrangling

Learn the basics of data manipulation by transforming datasets in order to represent and interpret results.

R nanocourse 4. Dynamic Documents

Create dynamic documents from an initial RMarkdown document.

R nanocourse 5. Descriptive Statistics

Learn the basic functions used to produce descriptive statistics of a dataset.

R nanocourse 6. Simple Linear Regression

Learn the basic step to produce an econometric analysis with R.

R nanocourse 7. Multiple Linear Regression

Explore linear regressions in detail by focusing on multiple linear regressions.

Data Importation with R

Import data from different files type: CSV, Gsheet and Excel.

R Basics

Learn about the basics in R.

Industrial analysis: clusters, competitiveness and connectivity

Raise awareness to the importance of the differences between industries in the contemporary economy, understand industrial developments leading to the formation of new markets, aspects related to business connectivity and the social structure of industries. Also, understand how differences between industries affect the competitiveness and behavior of firms, their performance and their strategy of entering foreign markets.

Industrial analysis: a geographical economic perspective

The opening of national economies, the globalization of economies and new technologies with global impact affect all industries. In this context, it is important to conduct an analysis at the industrial level. This involves understanding how industries are structured, how they evolve, how they are affected by new regulations and what new interactions between industrial sectors are taking place.

Analyse industrielle: grappes, compétitivité et connectivité

Comprendre l’importance des différences entre les industries dans l’économie contemporaine, les développements industriels menant à la formation de nouveaux marchés, les aspects liés à la connectivité des entreprises et la structure sociale des industries. Comprendre également comment les différences entre les industries affectent la compétitivité et le comportement des entreprises, leur performance et leur stratégie d’entrée dans les marchés étrangers.

Analyse industrielle: une perspective d'économie géographique

L’ouverture des économies nationales, la mondialisation des économies et les nouvelles technologies à impact global affectent toutes les industries. Dans ce contexte, il est important de mener une analyse au niveau industriel. Celle-ci consiste à comprendre comment les industries sont structurées, comment elles évoluent, comment elles sont affectées par les nouvelles réglementations et quelles sont les nouvelles interactions entre secteurs industriels.

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