Teaching
[Cours] Contexte international de l'entreprise: une approche de données probantes
MBA HEC Montréal - INTE5000
[Course] Artificial Intelligence, Law and Ethics
An online course bridging Artificial Intelligence, Industrial Organization with Competition Policy and Ethics.
[Cours] 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.
[Cours] 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.
[Course] 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.
[Course] 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.
[API] bea.R
Access Bureau of Economic Analysis' statistics through the bea.R API.
[API] comtradr
Access detailed global trade data through the Comtrad API.
[API] coronavirus
Access a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic through the coronavirus API.
[API] covid19Italy
Access a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) pandemic outbreak in Italy through the covid19Italy API.
[API] covid19us
Access data on the COVID-19 in the United States through the covid19us API.
[API] EpiBibR
Access bibliographic data on Covid-19 and other medical references through the EpiBibR API.
[API] eurostat
Access statistics at European level through the Eurostat API.
[API] fredr
Access 670,000 US and international time series through the fredR API.
[API] newsAPI
Access to breaking news headlines and articles from over 30,000 news sources and blogs through the newsAPI API.
[API] OECD
Access OECD countries and selected non-member economies data through the OECD 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] shapeR
Access shapefiles for all countries and their sub-divisions through the shapeR 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] WDI
Access global development data through the WDI API.
[API] bea.R: Application
An API for the Bureau of Economic Analysis (BEA).
[API] comtradR: Application
An API for detailed global trade data.
[API] covidvirus: Application
Daily summary of the Covid-19 cases per state/region
[API] fredr: Application
An API by the Federal Reserve Bank of St. Louis.
[API] OECD: Application
A knowledge hub for data and analysis
[API] Quandl: Application
Extract value from the world's data
[API] Quantmod: Application
Quantitative Financial Modelling & Trading Framework for R
[API] rnassqs: Application
Estimates related to U.S. agricultural production
[API] spiR: Application
Learn how to retrieve data from spiR and produce a visual.
[API] statcanR: Application
Learn how to retrieve data from statcanR and produce a visual.
[API] WDI: Application
A collection of development indicators
[Course] Augmented Intelligence
Augmented Intelligence: Covid-19 case
[R course] bibliometrix: An R-Tool for Bibliometric Analysis
To customize the chunk output with chunk options.
[Course] Bootcamp 1: The fundamentals in R
Data types and structures in R, inputting & outputting data and manipulating data sets.
[R Course] Collecting Twitter Data
Method for retrieving tweets using the rtweet package.
[R Course] Dash & Plotly in R
Create dashboards using dashR & plotly.
[R Course] Data Importation with R
Import data from different files type: CSV, Gsheet and Excel.
[R Course] Data Visualization with R
Learn how to use the ggplot2 package to create visuals in R.
[R Course] Data Visualisation with R: Advanced Static Maps
Learn how to use a shapefile to create a static map with ggplot2.
[R Course] Data Visualization with R: Colored Map Levels
A map with colored levels of granularity made using the raster and ggplot2 packages.
[R Course] Data Visualization with R: Custom Colors Maps
A custom map made with custom colors using ggplot2.
[R Course] Data Visualization with R: Interactive Maps
Learn to use the Leaflet R package that makes easy to integrate and control interactive maps.
[R Course] Data Visualization with R: Interactive Maps, an application
Learn to use the Leaflet R package that makes easy to integrate and control interactive maps.
[R Course] Data Visualization with R: Line Charts
Line charts made with ggplot2.
[R Course] Data Visualization with R: Maps
Let's concentrate on using ggplot2 data for maps and creating maps.
[R Course] Data Visualization with R: Map Levels
A map with levels of granularity made using the raster package.
[R Course] 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.
[R Course] Data Visualization with R: paletteer
A comprehensive collection of color palettes in R.
[R Course] Data Wrangling with R: Tidyverse
A beginner's guide.
[R Course] 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 Course] Data Wrangling with R: Pivot
Using the tidyr package to do some data wrangling.
[R Course] Data Wrangling with R: Reshaping and Subsetting
Learn how to reshape and subset your data.
[R Course] Data Wrangling with R: Combining Tables
Use different techniques of combining tables such as mutating join, filtering join and biding.
[R Course] 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.
[R Course] Flexdashboards with R Markdown
Create an R Markdown document with the flexdashboard output format.
[R Course] How to: Code in Python on Nüance-R
Nüance-R allows you to work either in R or Python.
[R Course] How to: Connect Nüance-R to GitHub
Integrate GitHub into your daily work with R and R Markdown.
[R Course] How to: Create a Distill article
Learn the Distill Basics for scientific and technical writing, native to the web.
[R Course] How to: Create Diagrams
Easily create diagrams with R by using DiagrammeR.
[R Course] How to: Create Flexdashboards, an application
An example of using flexdashboards in R.
[R Course] How to: Create Flexdashboards
Create easy interactive dashboards for R.
[R Course] How to: Install R and Rstudio on Local
A beginner guide to install R and Rstudio yourself.
[R Course] How to: Install R Packages
A Beginner's Guide
[R Course] How to: Interpret Common Errors in R
Interpretating common error messages.
[R Course] How to: Open and Plot Shapefiles in R
Shapefiles are a common way to store geospatial data. Learn how to read it with R and the rgdal package, and how to plot it in base R or with ggplot2.
[R Course] How to: Use Chunk Options in R Markdown
To customize the chunk output with chunk options.
[R Course] How to: Use ggplot2 builder
Familiarize yourself with the simple graphical user interface to only drag-and-drop to create graphs.
[R Course] How to: Use Zotero with RStudio
Make your reproducible research more easier by learning to use Zotero with SQS.
[R Course] 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.
[R Course] 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.
[R Course] Mapping, Spatial Analysis & Econometrics in R
Learn a range of spatial skills, including: reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and modeling geographic phenomena.
[R Course] PDF Text Extraction
To automatically pull out tables and text from PDFs.
[R Course] R Basics
Learn about the basics in R.
[R Course] 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 Course] R nanocourse 2. Data Import and Graphics
Learn about the C-V-A approach: Collect, Visualize, Analyze.
[R Course] R nanocourse 3. Data Wrangling
Learn the basics of data manipulation by transforming datasets in order to represent and interpret results.
[R Course] R nanocourse 4. Dynamic Documents
Create dynamic documents from an initial RMarkdown document.
[R Course] R nanocourse 5. Descriptive Statistics
Learn the basic functions used to produce descriptive statistics of a dataset.
[R Course] R nanocourse 6. Simple Linear Regression
Learn the basic step to produce an econometric analysis with R.
[R Course] R nanocourse 7. Multiple Linear Regression
Explore linear regressions in detail by focusing on multiple linear regressions.
[R Course] R nanocourse Perspective: Mapping UK Tweets
Mapping a sentiment analysis of UK tweets per population and income for each UK district.
[R Course] Structural Topic Model: stm R package
Flexibly estimate a topic model that includes document-level metadata.
[R Course] Text mining and Word Cloud Fundamentals in R
How to generate word clouds.
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.
[R Course] Manipulating Tweets: Distribution Chart
When do people tweet about AI?
[R Course] Manipulating Tweets: Word cloud
What do people say about AI?
