Editing CDSC Computational Social Science Workshop (Fall 2022)
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:'''Material''': <font size="+1">[[CDSW/Day 0 setup and tutorial|Click here for the the setup and tutorial material.]]</font> | :'''Material''': <font size="+1">[[CDSW/Day 0 setup and tutorial|Click here for the the setup and tutorial material.]]</font> | ||
===10/11 Introduction to Programming === | |||
Intro to Programming [[CDSW/Day_1_lecture|A 2.5 hour lecture-based introduction to the Python programming language]] | |||
: '''Objectives''': Programming is an essential tool for data science and is useful for solving many other problems. The goal of this session will be to introduce programming in the [http://www.python.org/ Python programming language]. Each participant will leave having solved a real problem and will have built their first real programming project. | |||
=== 10/18 Introduction to Programming Part 2 === | |||
:: Python practice through short projects (see below) on a variety of fun and practical topics: | :: Python practice through short projects (see below) on a variety of fun and practical topics: | ||
::* [[Baby_Names | Baby Names]] | ::* [[Baby_Names | Baby Names]] | ||
::* [[Learnpython.org exercises]] | ::* [[Learnpython.org exercises]] | ||
:: Wrap-up, next steps, and upcoming opportunities for learning and practicing Python | |||
===10/25 Importing Data from web APIs Part 1 === | |||
[[CDSW/Day_2_Lecture|An interactive introduction to the web programming and APIs]] | [[CDSW/Day_2_Lecture|An interactive introduction to the web programming and APIs]] | ||
'''Prep for next week''' Complete the [[Twitter authentication setup]] ''before'' we meet. If you plan to complete the Yelp session, you need to complete the [[Yelp authentication setup]] instructions. | '''Prep for next week''' Complete the [[Twitter authentication setup]] ''before'' we meet. If you plan to complete the Yelp session, you need to complete the [[Yelp authentication setup]] instructions. | ||
=== | ===11/1 Importing Data from web APIs Part 2 === | ||
Web API practice through short projects (see below) on a variety of fun and practical topics: | Web API practice through short projects (see below) on a variety of fun and practical topics: | ||
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::* [[Wikipedia (CDSW)|Wikipedia]] | ::* [[Wikipedia (CDSW)|Wikipedia]] | ||
::* [[Yelp (CDSW)|Yelp]] - Get a [[Yelp API Key]] ahead of time so you're ready to go. | ::* [[Yelp (CDSW)|Yelp]] - Get a [[Yelp API Key]] ahead of time so you're ready to go. | ||
:: | :: '''Wrap-up: 3:30pm-4pm''': Wrap-up, next steps, and upcoming opportunities for learning and practicing Python | ||
: '''Objectives''': An important step in doing data science is collecting data. The goal of this session will be to teach participants how to get data from the [https://en.wikipedia.org/wiki/Application_programming_interface public application programming interfaces] ("APIs") common to many social media and online communities. Although we will use the APIs provided by Wikipedia, Twitter, and Yelp in the session, the principles and techniques are common to many other online communities. | : '''Objectives''': An important step in doing data science is collecting data. The goal of this session will be to teach participants how to get data from the [https://en.wikipedia.org/wiki/Application_programming_interface public application programming interfaces] ("APIs") common to many social media and online communities. Although we will use the APIs provided by Wikipedia, Twitter, and Yelp in the session, the principles and techniques are common to many other online communities. | ||
=== 11/ | === 11/8: Data Analysis and Visualization === | ||
:: [[CDSW/Day_3_Lecture|interactive lecture]] | :: [[CDSW/Day_3_Lecture|interactive lecture]] | ||
=== 11/ | === 11/15 Web API practice through independent projects === | ||
::* [[Seattle_open_data|Visualization and analysis of civic data from data.seattle.gov]] | ::* [[Seattle_open_data|Visualization and analysis of civic data from data.seattle.gov]] | ||
::* [[CDSW/Review_Wk1_Wk2 | Review of | ::* [[CDSW/Review_Wk1_Wk2 | Review of Week 1 and Week 2]] | ||
::* Independent projects working on issues of ''your'' choosing! | ::* Independent projects working on issues of ''your'' choosing! | ||
:: '''Wrap-up, 3:30-4pm | |||
: '''Objectives''': The goal of data science is to use data to answer questions. In our final session, we will use the Python skills we learned in the first session and the datasets we've created in the second to ask and answer common questions about online and offline communities. We will focus on learning how to generate visualizations, create summary statistics, and test hypotheses. | : '''Objectives''': The goal of data science is to use data to answer questions. In our final session, we will use the Python skills we learned in the first session and the datasets we've created in the second to ask and answer common questions about online and offline communities. We will focus on learning how to generate visualizations, create summary statistics, and test hypotheses. | ||
=== 11/ | === 11/22 Leveling up: Using computation servers === | ||
=== 11/ | === 11/29 From data files to dataframes: getting started with R === | ||
=== | === 12/6 Functions and Figures in R === | ||
=== 12/ | === 12/13 Optional: Putting the pieces together with Overleaf, Rmd, and Zotero === |