{"id":250,"date":"2017-03-07T14:04:57","date_gmt":"2017-03-07T19:04:57","guid":{"rendered":"http:\/\/pages.vassar.edu\/datafest\/?page_id=250"},"modified":"2023-09-25T14:38:26","modified_gmt":"2023-09-25T18:38:26","slug":"past-workshops","status":"publish","type":"page","link":"https:\/\/pages.vassar.edu\/datafest\/workshop\/past-workshops\/","title":{"rendered":"Past Workshops"},"content":{"rendered":"

2020 Workshops<\/span><\/strong>
\n<\/strong><\/span><\/p>\n

\n

Introduction to MATLAB<\/strong>
\nThursday, May 7, 2020
\n12:00 \u2013 1:00PM
\nZoom<\/p>\n

Description:<\/strong>\u00a0We will cover basic concepts of script writing (providing detailed instructions for a computer to execute) using Matlab. Working our way from no prior knowledge we will take advantage of many Matlab features to calculate and manipulate quantities, construct detailed plots of outcomes, and write scripts in such a way that we may find them usable after taking time away. Instructor:\u00a0<\/strong>Tyler Hatch (VC ’20)<\/p>\n

\n

Intro to Python
\n<\/strong>Thursday, May 7, 2020
\n2:00 \u2013 3:30PM
\nZoom<\/p>\n

Description: Introduction to using Pandas to import, clean, and manipulate data and make some simple plots<\/strong>.\u00a0Instructor: <\/strong>Peter Lee (VC ’14)<\/p>\n

\n

Data Analysis and Visualization with Matlab<\/strong>
\nThursday, May 7, 2020
\n4:00 \u2013 5:00PM
\nZoom<\/p>\n

Description: <\/strong>During this workshop, we will learn\/review how to import data into MatLab. We will plot data and fit trendlines. These procedures will include calculations of uncertainties and interpretation of trends.\u00a0 In addition, we will learn how to analyze to identify frequencies as well as\u00a0 identify and reduce noise using the fast Fourier transform. Finally, we will identify how many parameters a data set depends on and how to distinguish nonlinear data from noisy data. Students must have some basic knowledge of MatLab and have MatLab installed on their computers to participate.\u00a0Instructor:<\/strong>\u00a0Jenny Magnes<\/a>\u00a0(VC Physics and Astronomy)<\/p>\n

\n

Visualization in Python
\n<\/strong>Friday, May 8, 2020
\n2:00 \u2013 3:00PM
\nZoom<\/p>\n

Description: <\/strong>Tutorials on creating various visualizations in Python. You will mainly be using Python’s two most popular visualization libraries — matplotlib and seaborn. At the end of the workshop, I will provide you with additional resources and pointers to keep studying other advanced Python libraries for visualizations.\u00a0Instructor: <\/strong>Josh Kim (VC ’20)<\/p>\n

\n

Regression Methods in Python
\n<\/strong>Saturday, May 9, 2020
\n2:00 \u2013 3:00PM
\nZoom<\/p>\n

Description: <\/strong>Tutorials on implementing various regression algorithms in Python. It will cover basic linear regressions to more complicated algorithms such as Random Forests. We will mainly be using Python’s main Machine Learning library, scikit-learn (sklearn) to implement the regression algorithms!\u00a0Instructor: <\/strong>Josh Kim (VC ’20)<\/p>\n

\n

Intro to RStudio & RMarkdown
\n<\/strong>Sunday, May 10, 2020
\n2:00 \u2013 3:00PM
\nZoom<\/p>\n

Description:\u00a0<\/strong>Learn the basics of the R programming language and get to know your way around the RStudio environment. This workshop will start with an overview of data types, reading data into R, and writing functions, and will finish with an intro to publishing datasets using RMarkdown.\u00a0Instructor: <\/strong>Josh Kim (VC ’20)<\/p>\n

\n

R Intro to Wrangling
\n<\/strong>Monday, May 11, 2020
\n2:00 \u2013 3:00PM
\nZoom<\/p>\n

Description: <\/strong>Data wrangling refers to the process by which we transform raw data into something useful in visualizations or analysis. In this workshop, we’ll learn how to utilize tools such as ‘dplyr’ and ‘tidyr’ to create usable data.\u00a0Instructor: <\/strong>Olivia Fiol (VC ’20)<\/p>\n

 <\/p>\n

2019 Workshops<\/span><\/strong>
\n<\/strong><\/span><\/p>\n

\n

Intro to data analysis tools: RStudio & RMarkdown
\n<\/strong>Wednesday, March 27, 2019
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0Learn the basics of the R programming language and get to know your way around the RStudio environment. This workshop will start with an overview of data types, reading data into R, and writing functions, and will finish with an intro to publishing datasets using RMarkdown.<\/span><\/strong>\u00a0\u00a0Instructor:\u00a0Carolyn Moritz<\/span><\/a><\/strong><\/p>\n

\n

Linear and Generalized Linear Models in R
\n<\/strong>Tuesday, April 2, 2019
\n1:30 \u2013 3:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0<\/strong>Learn the basics of coding and interpreting linear models (t-test, ANOVA, ANCOVA, regression, etc.) and generalized linear models (binomial, poisson, negative binomial, etc.) models. \u00a0We will also learn the basics of checking model fit and how to know when to use a particular statistical test.\u00a0\u00a0Instructor:\u00a0Justin Touchon<\/span><\/a><\/strong><\/p>\n

\n

Introduction to MATLAB<\/strong>
\nTuesday, April 2,\u00a0 2019
\n6:00 \u2013 8:00PM
\nSanders Physics Room 201.1 (the computer room)<\/p>\n

Description:<\/strong>\u00a0We will cover basic concepts of script writing (providing detailed instructions for a computer to execute) using Matlab. Working our way from no prior knowledge we will take advantage of many Matlab features to calculate and manipulate quantities, construct detailed plots of outcomes, and write scripts in such a way that we may find them usable after taking time away. \u00a0Instructor: <\/strong>Evan Stark (VC \u201919)<\/p>\n

\n

Introduction to Python
\n<\/strong>Wednesday, April 3, 2019
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0<\/strong>This workshop will teach the basics of using the python programming language, accommodating those new to programming as well as those who have some experience with other languages.\u00a0 Utilizing\u00a0Jupyter Notebooks, we will discuss how to do simple calculations, read in and use common python packages (including statistical packages), and make simple plots.\u00a0\u00a0Instructors:<\/strong>\u00a0Colette Salyk<\/a>\u00a0and Jason Waterman<\/a><\/p>\n

<\/p>\n

\n

Introduction to\u00a0Graphics in R (ggplot package)
\n<\/strong>Thursday, April 4, 2019
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0<\/strong> This workshop will focus on data visualization in R, primarily with the use of the ggplot package,\u00a0to construct various graphical representations of data. You will learn how to make bar graphs, scatter plots, facets, and more.\u00a0 You will also learn to modify those graphs by different criteria, such as adding colors, creating legends, and adding trend lines.\u00a0 \u00a0Instructors:\u00a0<\/strong>Kai Matheson (VC \u201919) and Lauren Caporilli (VC \u201919)<\/p>\n

\n

Data Analysis and Visualization with Matlab<\/strong>
\nMonday, April 8, 2019
\n12:30 \u2013 1:30PM
\nSanders Physics Room 201.1 (the computer room)<\/p>\n

Description:\u00a0This workshop will introduce using Matlab for doing data analysis and visualization. Emphasis will be on the use of Fourier transforms, mutual information (entropy), curve fitting and correlation.<\/span><\/strong>\u00a0\u00a0Instructor:\u00a0Jenny Magnes<\/span><\/a><\/strong><\/p>\n

\n

Introduction to\u00a0Data Wrangling in R (dplyr & tidyr packages)<\/strong>
\nTuesday, April 9, 2019
\n5:30 \u2013 7:30PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0\u00a0<\/strong>Data wrangling refers to the process of putting data into a format suitable for a desired graph or analysis. \u00a0The first part of this workshop will introduce the dplyr package that includes several useful verbs to clean and organize data. \u00a0Tidy data refer to data that are organized according to specific rules. The second part of this workshop will start with the definition of tidy data and then introduce some data verbs in the tidyr package. One focus will\u00a0be the transformation of a data table from wide form to narrow form, and vice versa. The workshop will also include some practical topics, such as iteration, naming conventions, and how to deal with dates in R.\u00a0\u00a0Instructors:\u00a0Eli Schwamm (VC \u201919) and Travers Parsons-Grayson\u00a0(VC \u201919)<\/span><\/strong><\/p>\n

\n

Time Series Basics with R
\n<\/strong>Wednesday, April 10, 2019
\n5:00 \u2013 6:30PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0This workshop will introduce the basic R functions for reading, graphing, and analyzing time series data.<\/span><\/strong>\u00a0\u00a0Instructor:<\/strong> Paul Johnson<\/span><\/a><\/p>\n

\n

Data Visualization with ArcGIS
\n<\/strong>Thursday, April 11, 2019
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0Spatial data visualization helps us understand important patterns in phenomena from demographics to environmental questions. In this workshop we use ArcGIS to do some basic mapping activities, to explore the software and what the data can tell us.<\/span><\/strong>\u00a0\u00a0Instructor:<\/strong>\u00a0Mary Ann Cunningham<\/span><\/a><\/p>\n

\n

2018 Workshops<\/strong><\/span>
\n<\/strong><\/span><\/p>\n

<\/p>\n

\n

Introduction to GIS
\n<\/strong>Wednesday, April 4, 2018
\n6:00 – 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0\u00a0<\/strong>Spatial data visualization helps us understand important patterns in phenomena from demographics to environmental questions. In this workshop we use ArcGIS to do some basic mapping activities, to explore the software and what the data can tell us.\u00a0\u00a0Instructor:<\/strong> Mary Ann Cunningham<\/a><\/p>\n

\n

Introduction to R
\n<\/strong>Thursday, April 5, 2018
\n<\/strong>6:00 – 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:<\/strong>\u00a0This workshop will focus on the basics of R, a statistical computing language and environment. You will learn how to do various calculations, work with data and make simple graphs. No previous knowledge of R and\/or R-Studio is needed to attend!\u00a0\u00a0Instructor:<\/strong> Sean Lu (VC ’18)<\/p>\n

\n

Introduction to MATLAB<\/strong>
\nFriday, April 6,\u00a0 2018
\n6:00 – 7:15PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:<\/strong> We will cover basic concepts of script writing (providing detailed instructions for a computer to execute) using Matlab. Working our way from no prior knowledge we will take advantage of many Matlab features to calculate and manipulate quantities, construct detailed plots of outcomes, and write scripts in such a way that we may find them usable after taking time away. \u00a0Instructor: <\/strong>Janet Sheung<\/a><\/p>\n

\n

Introduction to Python
\n<\/strong>Tuesday, April 10, 2018
\n6:30 – 8:30PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0<\/strong>This workshop will teach the basics of using the python programming language, accommodating those new to programming as well as those who have some experience with other languages.\u00a0 Utilizing\u00a0Jupyter Notebooks, we will discuss how to do simple calculations, read in and use common python packages (including statistical packages), and make simple plots.\u00a0\u00a0Instructor:<\/strong> Colette Salyk<\/a><\/p>\n

\n

Introduction to\u00a0Graphics in R (ggplot package)
\n<\/strong>Wednesday, April 11, 2018
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0<\/strong>This workshop will focus on data visualization in R, primarily with the use of the ggplot package,\u00a0to construct various graphical representations of data. You will learn how to make bar graphs, scatter plots, facets, and more. You will also learn to modify those graphs by different criteria, such as adding colors, creating legends, and adding trend lines.\u00a0\u00a0Instructor:<\/strong> Tony Caletti (VC ’18)<\/p>\n

\n

Introduction to\u00a0Data Wrangling in R (dplyr & tidyr packages)
\n<\/strong> Thursday, April 12, 2018
\n6:00-8:00PM<\/del> 6:30-8:30PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:\u00a0<\/strong>Data wrangling refers to the process of putting data into a format suitable for a desired graph or analysis. \u00a0The first part of this workshop will introduce the dplyr package that includes several useful verbs to clean and organize data. \u00a0Tidy data refer to data that are organized according to specific rules. The second part of this workshop will start with the definition of tidy data and then introduce some data verbs in the tidyr package. One focus will\u00a0be the transformation of a data table from wide form to narrow form, and vice versa. The workshop will also include some practical topics, such as iteration, naming conventions, and how to deal with dates in R.\u00a0\u00a0Instructor: <\/strong>Isabella Destefano (VC ’18)<\/p>\n

\n

2017 Workshops<\/strong><\/span><\/p>\n

Space for these workshops is limited. \u00a0Sign-up through the links in the e-mail you\u00a0will receive after Saturday 3\/10.<\/p>\n

MATLAB, An Introduction
\n<\/strong>Monday, March 27th, 2017
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:<\/strong>\u00a0We will cover basic concepts of script writing (providing detailed instructions for a computer to execute) using Matlab. Working our way from no prior knowledge we will take advantage of many Matlab features to calculate and manipulate quantities, construct detailed plots of outcomes, and write scripts in such a way that we may find them usable after taking time away. \u00a0Instructors:<\/strong>\u00a0Ben Morin and Mallory Morgan<\/p>\n

\n

Introduction to R
\n<\/strong>Tuesday, March 28, 2017
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:<\/strong>\u00a0 \u00a0This workshop will focus on the basics of R, a statistical computing language and environment. You will learn how to do various calculations, work with data and make simple graphs. No previous knowledge of R and\/or R-Studio is needed to attend! \u00a0Instructors:\u00a0<\/strong>Adam Erkis, Brad Kendall, Darby Stahl, and Kelly Yu<\/p>\n

\n

Introduction to\u00a0Graphics in R (ggplot package)
\n<\/strong>Wednesday, March 29, 2017
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description: \u00a0<\/strong>This workshop will focus on data visualization in R, primarily with the use of the ggplot package,\u00a0to construct various graphical representations of data. You will learn how to make bar graphs, scatter plots, facets, and more. You will also learn to modify those graphs by different criteria, such as adding colors, creating legends, and adding trend lines. \u00a0Instructors:<\/strong> \u00a0Jie Chen, Yujie Feng, Dian Jiao, and Justin Vo<\/p>\n

\n

Introduction to\u00a0Python
\n<\/strong>Thursday, March 30, 2017
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description: <\/strong>This workshop will teach the basics of using the python programming language, accommodating those new to programming as well as those who have some experience with other languages.\u00a0 Utilizing\u00a0Jupyter Notebooks, we will discuss how to do simple calculations, read in and use common python packages (including statistical packages), and make simple plots.\u00a0 Participants may also want to take the follow-up workshop,\u00a0“Data analysis using Python and Pandas”. \u00a0Instructors:<\/strong>\u00a0\u00a0Colette Salyk and Junyan Qi<\/p>\n

\n

Introduction to\u00a0Data Wrangling in R (dplyr & tidyr packages)
\n<\/strong>Tuesday, April 4th, 2017
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description: \u00a0<\/strong>Data wrangling refers to the process of putting data into a format suitable for a desired graph or analysis. \u00a0The first part of this workshop will introduce the dplyr package that includes several useful verbs to clean and organize data. \u00a0Tidy data refer to data that are organized according to specific rules. The second part of this workshop will start with the definition of tidy data and then introduce some data verbs in the tidyr package. One focus will\u00a0be the transformation of a data table from wide form to narrow form, and vice versa. The workshop will also include some practical topics, such as iteration, naming conventions, and how to deal with dates in R. Instructors:<\/strong> Zichen Chen, Siqi Fan, Zicheng Huang, and Shujie Yang<\/p>\n

\n

Data Visualization with MATLAB
\n<\/strong>Wednesday, April 5th, 2017
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description: <\/strong>Generate and import data with Matlab. Visualize and evaluate data using Matlab. \u00a0This workshop includes 2D, 3D and time dependent visualizations. \u00a0Data manipulation using Fourier Transforms and lag plots are included.\u00a0\u00a0Instructors:<\/strong>\u00a0Jenny Magnes and Mallory Morgan<\/p>\n

\n

Data Analysis Using Python and Pandas
\n<\/strong>Thursday, April 6th, 2017
\n6:00 \u2013 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description: <\/strong>Pandas\u00a0is a Python\u00a0package providing fast, flexible, and expressive data structures designed to make working with \u201crelational\u201d or \u201clabeled\u201d data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.\u00a0 This workshop will introduce how you can use Pandas for data analysis.\u00a0\u00a0Instructors:\u00a0<\/strong>Jason Waterman and Junyan Qi<\/p>\n

\n

2016 Workshops<\/strong><\/span><\/p>\n

Space for these workshops is limited. \u00a0Sign-up through the links in the e-mail you received on Saturday 3\/12.<\/p>\n

Intro to R
\n<\/strong>Tuesday, March 29, 2016
\n6:00 – 7:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:<\/strong> Introduction to R as a statistical programming language. This session will introduce the basics of R syntax, getting data into R, various data types and classes, etc. The session assumes no or little background in R. \u00a0Instructors:<\/strong> Monika Hu and Ming An<\/p>\n

Intro to Matlab
\n<\/strong>Thursday, March 31, 2016
\n6:00 – 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description:<\/strong>\u00a0Introduction to Matlab as a programming language for data manipulation and graphical packages in Matlab.\u00a0 This session assumes no previous experience with Matlab but is also designed to give helpful tips and tricks even for an experienced Matlab user.\u00a0 We will cover basic Matlab syntax, different data structures, importing data, and how to create visual graphics for a data set. \u00a0Instructor:<\/strong>\u00a0Paul Wissmann<\/p>\n

Graphics in R
\n<\/strong>Tuesday, April 5, 2016
\n6:00 – 8:00PM
\nBridge for Laboratory Sciences 101-Laybourne Visualization Lab (Sci-Vis Lab)<\/p>\n

Description: \u00a0<\/strong>Introduction to graphics packages in R with a specific focus on \u201cggplot2.\u201d Strategies for creating graphics designed for exploratory data analysis and visualization for different types of data will be covered. This session assumes a basic familiarity with R.\u00a0\u00a0Instructor:<\/strong> Samantha Levy<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

2020 Workshops Introduction to MATLAB Thursday, May 7, 2020 12:00 \u2013 1:00PM Zoom Description:\u00a0We will cover basic concepts of script writing (providing detailed instructions for a computer to execute) using Matlab. Working our way from no prior knowledge we will take advantage of many Matlab features to calculate and manipulate quantities, construct detailed plots of … Continue reading Past Workshops<\/span> →<\/span><\/a><\/p>\n","protected":false},"author":1131,"featured_media":0,"parent":18,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-250","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pages.vassar.edu\/datafest\/wp-json\/wp\/v2\/pages\/250","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.vassar.edu\/datafest\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.vassar.edu\/datafest\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pages.vassar.edu\/datafest\/wp-json\/wp\/v2\/users\/1131"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.vassar.edu\/datafest\/wp-json\/wp\/v2\/comments?post=250"}],"version-history":[{"count":7,"href":"https:\/\/pages.vassar.edu\/datafest\/wp-json\/wp\/v2\/pages\/250\/revisions"}],"predecessor-version":[{"id":513,"href":"https:\/\/pages.vassar.edu\/datafest\/wp-json\/wp\/v2\/pages\/250\/revisions\/513"}],"up":[{"embeddable":true,"href":"https:\/\/pages.vassar.edu\/datafest\/wp-json\/wp\/v2\/pages\/18"}],"wp:attachment":[{"href":"https:\/\/pages.vassar.edu\/datafest\/wp-json\/wp\/v2\/media?parent=250"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}