empty wooden seats in an amphitheater

Past workshops

WINTER SEMESTER - 2024

DATE

WORKSHOP

DATE

WORKSHOP
Jan. 8, 2024 Understanding File Systems in Windows & Mac OS Jan. 9, 2024 Introduction to Programming in R
Jan. 15, 2024 Introduction to Linux Jan. 16, 2024 Introduction to the data science life cycle (using R)
Jan. 22, 2024 Introduction to cluster computing Jan. 23, 2024 Data wrangling in R
Jan. 29, 2024 Statistical Network Analysis in R Jan. 30, 2024 Introduction to Data visualization in R
Feb. 2, 2024 Machine Learning in Python - Session 1 Feb. 5, 2024

Design and implementation of Statistical Simulation Studies

Feb. 6, 2024 Exploratory Data Analysis in R Feb. 9, 2024 Machine Learning in Python - Session 2
Feb. 12, 2024 Introduction to Python Feb. 13, 2024 Data visualization in R, intermediate
Feb. 16, 2024 Machine Learning in Python - Session 3 Feb. 19, 2024 Introduction to the data science life cycle in Python
Feb. 20, 2024 Neural Networks in R Feb. 23, 2024 Machine Learning in Python - Session 4
Feb. 26, 2024 Data wrangling in Python Feb. 27, 2024 Creating a Shiny dashboard in R
March 1, 2024 Machine Learning in Python - Session 5 March 11, 2024 Data visualization in Python, introduction
March 12, 2024 Acquiring data from the internet in R March 13, 2024 Genetic Meta-Analysis
March 15, 2024 The Organizational Consequences of Modern Data Science March 15, 2024 Intro to Structural Equation Modeling (SEM)
March 18, 2024 Exploratory Data Analysis in Python March 25, 2024 Meta-Analysis
March 26, 2024 Introduction to Git in R April 2, 2024 Working with text in R
April 8, 2024 Treating missing data in bayesian models April 9, 2024 Intro to Quarto (R Markdown)
April 16, 2024 Version Control with Git in R    

FALL SEMESTER - 2023

DATE

WORKSHOP

DATE

WORKSHOP
Sept. 8th 2023 Introduction to R in Rstudio Sept. 8th 2023 Understanding File Systems in Windows & Mac OS
Sept. 13th 2023 Introduction to Linux Sept. 15th 2023 Introduction to the data science life cycle (using R)
Sept. 20th 2023 Introduction to cluster computing Sept. 22nd 2023 Data wrangling in R
Sept. 27th 2023 Introduction to programming in Python Sept. 29th 2023 Introduction to Data visualization in R
Oct. 4th 2023 Introduction to the data science life cycle in Python Oct. 13th 2023 Data visualization in R, intermediate
Oct. 18th 2023 Data wrangling in Python Oct. 20th 2023 Exploratory Data Analysis in R
Oct. 25th 2023 Data visualization in Python, introduction Oct. 27th 2023 Building interactive plots in R
Nov. 1st 2023 Exploratory Data Analysis in Python Nov. 3rd 2023 Creating a Shiny dashboard in R
Nov. 8th 2023 Causal Inference - Session 1 Nov. 9th 2023 Natural Language Processing - Session 1
Nov. 10th 2023 Introduction to PostGreSQL Nov. 15th 2023 Causal Inference - Session 2
Nov. 16th 2023 Natural Language Processing - Session 2 Nov. 17th 2023 Working with text in R
Nov. 23rd 2023 Natural Language Processing - Session 3 Nov. 24th 2023 Acquiring data from the internet in R
Nov. 29th 2023 Causal Inference - Session 3 Dec. 1st 2023 Analyzing census data with R

 

2023 Winter term

Wednesdays, 12:30PM to 2:30PM Workshop Fridays, 10AM to 12PM Workshop
January 11th Introduction to programming in R January 13th Understanding filesystems
January 18th Minimizing statistical non-reproducibility January 20th Introduction to programming in Python
January 25th Introduction to the data science life cycle January 27th Data wrangling in Python
February 1st Data wrangling in R February 3rd Introduction to Linux
February 8th Structural Equation Modeling February 10th  
February 15th Introduction to the data science life cycle February 17th Fundamentals of Machine Learning in Python
February 22nd Exploratory Data Analysis in R February 24th ML in Python, session 2: Intro to regression and data collection
March 1st Reading break March 3rd Reading break
March 8th Data visualization in R, introduction March 10th ML in Python, session 3: Intro to unsupervised clustering and data cleaning
March 15th Design and implementation of statistical simulation studies March 17th  
March 22nd Data visualization in R, intermediate March 24th ML in Python, session 4: Basics of Neural Networks and Algorithm Training
March 29th   March 31st Introduction to natural language processing (in Python)
April 5th Neural Networks in R April 7th Holiday
April 12th Introduction to Git using R April 14th Natural language processing (in Python), session 2
April 19th Exam period April 21st Exam period
April 26th Exam period April 28th Exam period
May 3rd Statistical Network Analysis in R May 5th Bayesian models & missing data
May 10th Introduction to Quarto (R Markdown) May 12th Meta-analysis
May 17th Acquiring data from the internet in R May 19th Natural language processing (in Python), session 3
May 24th Creating a Shiny dashboard in R May 26th Introduction to cluster computing

 

2022 Fall term

Workshop Date
Introduction to the data science life cycle (using R) October 7, 2022
Analyzing census data with R October 14, 2022
Data wrangling in R October 21, 2022
Exploratory Data Analysis in R October 28, 2022
Data visualization in R, introduction November 4, 2022
Data visualization in R, intermediate November 11, 2022
Quarto (R Markdown) November 18, 2022
Creating a Shiny dashboard in R November 25, 2022
Acquiring data from the internet in R December 2, 2022

2022 Summer term

SUMMER CAMP Date
Introduction to Python for data science 15 to 19 August 2022
Introduction to deep learning with Python 22 to 26 August 2022
R summer camp 22 to 26 August 2022
WORKSHOP Date
Analyzing census data in R 12 May 2022
Introduction to Ubuntu 18 May 2022
Working with text in R Feb 3, 2022
Creating a shiny dashboard in R 9 June 2022

2022 Winter term

STATISTICS SERIES Date
Pitfalls in statistics Jan 10, 2022
Exploratory Data Analysis using R Jan 17, 2022
ANOVA and regression Jan 24, 2022
Linear mixed models Jan 31, 2022
Survival analysis Feb 14, 2022
Causal inference I Feb 21, 2022
Causal Inference II Mar 07, 2022
Causal inference III Mar 14, 2022
Structural equation modeling Mar 21, 2022
Introduction to Bayesian statistics Mar 31, 2022
Bayesian stats - Hierarchical models Apr 4, 2022
Bayesian stats - Spatial data Apr 11, 2022
Bayesian stats - Missing data Apr 25, 2022
Meta-analysis May 2, 2022
PROGRAMMING SERIES Date
Understanding file systems Jan 20, 2022
Introduction to data science with R Jan 27, 2022
Intermediate data science with R Feb 3, 2022
Introduction to python Feb 7, 2022
Introduction to git Feb 10, 2022
Retrieving data from the internet with R Feb 17, 2022
Intermediate Python (pandas) Feb 24, 2022
Introduction to RMarkdown Mar 10, 2022
Introduction to data visualization in R Mar 17, 2022
Intro to data visualization in python Mar 24, 2022
Intermediate data visualization in R Mar 31, 2022
Machine learning basics I Apr 14, 2022
Network Analysis with R Apr 21, 2022
Machine learning basics II Apr 28, 2022

 

2021 Fall term

Workshop Date
Understanding file systems in Windows and on a Mac October 18, 2021
Introduction to data science with R October 25, 2021
Advanced data science with R November 1, 2021
Introduction to data visualization with R November 8, 2021
Introduction to git November 15, 2021
Advanced data visualization with R November 22, 2021
Introduction to Python November 29, 2021
Data Science with Python (Pandas) December 6, 2021
Data visualization with Python December 13, 2021
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