Editing Community Data Science Workshops (Winter 2020) (section)

== Schedule ==

There will be a mandatory evening setup session '''6:00-9:00pm on Friday January 17''' and three workshops held from '''9:45am-4pm on three Saturdays (January 18 and February 1 and 15)'''. Each Saturday session will involve a period for lecture and technical demonstrations in the morning. This will be followed by a lunch graciously provided by the [http://escience.washington.edu/ eScience Institute at UW]. The rest of the day will be followed by group work on programming and data science projects supported by more experienced mentors.

'''All sessions are interactive and involve you programming on your own and on your own laptop. Everybody attending should bring a laptop and a power cord so that they don't run out of battery.'''

=== Session 0: Setup and Programming Tutorial (Friday January 17 evening)===

Come to the '''[http://www.washington.edu/maps/#!/cmu Communications Building (CMU) 104]''' between 6:00 and 9:00pm. It's OK if you come a little late but you'll want to have as much time as you can to finish the setup and self-directed assignments so come as close to 6:00pm as you can. Most people will finish early but some people will definitely need the full 3 hours. It's hard to know in advance where problems will crop up so please come on time even if you are confident.

:'''Time''': 6-9pm
:'''Location''': '''[http://www.washington.edu/maps/#!/cmu Communications Building (CMU) 104]'''
: '''Objectives''': During this session, mentors will help you:

:: set up your development environment
:: learn how to write and execute Python code in a Jupyter Notebook
:: learn about printing and using Python as a calculator

:'''Material''': <font size="+1">[[CDSW/Day 0 setup and tutorial|Click here for the the setup and tutorial material.]]</font>

'''Note''': Because we expect to hit the ground running on our first full day, we will meet to help participants get software installed and to work through a self-guided tutorial that will help ensure that everyone has the skills and vocabulary to start programming and learning when we meet the following morning.

=== Session 1: Introduction to Programming (January 18) ===

Come to '''[http://uw.edu/maps/?sav Savery Hall (SAV) 260] by 9:45am'''.
Plan to be on UW campus by 9:45am. You will need time to get settled and setup. We will start lecturing promptly at 10am. There will be coffee!

: '''Time:''' 9:45am-4pm
: '''Location:''' [http://uw.edu/maps/?sav Savery Hall (SAV)]

: '''Schedule'''
:: '''Morning, 10am-12:20 (SAV 260)''': [[CDSW/Day_1_lecture|A 2.5 hour lecture-based introduction to the Python programming language]]
:: '''Lunch, 12:20-1pm (Savery Hall in the downstairs hallway)''': We'll provide lunch (pizza!)
:: '''Afternoon, 1pm-3:30pm (SAV 130, 137, 138, 156):''' Python practice through short projects (see below) on a variety of fun and practical topics:
::* [[Baby_Names | Baby Names]]
::* [[Learnpython.org exercises]]
:: '''Wrap-up, 3:30pm-4pm (SAV 260):''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python

: '''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.

=== Session 2: Importing Data from web APIs (February 1) ===
Come to '''[http://uw.edu/maps/?sav Savery Hall (SAV) 260] by 9:45am'''. You will need time to get settled and setup. We will start lecturing promptly at 10am. There will be coffee!

: '''Time''': 9:45am-4pm

: '''Location''': [http://uw.edu/maps/?sav Savery Hall (SAV)] 

: '''Schedule''':
:: '''Morning: 10am-12:20 (SAV 260)''': [[CDSW/Day_2_Lecture|A 2.5 hour lecture-based introduction to the web programming and APIs]]
:: '''Lunch: 12:20-1pm (Savery Hall downstairs hallway)''': We'll provide lunch (TBD)
:: '''Afternoon: 1pm-3:30pm (SAV 130, 137, 138, 156)''': Web API practice through short projects (see below) on a variety of fun and practical topics:
::* [[Twitter (CDSW)|Twitter]]
::* [[Wikipedia (CDSW)|Wikipedia]]
::* [[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 Socrata in the session, the principles and techniques are common to many other online communities.

: An outline for the lecture can be found [[CDSW/Day_2_lecture|here]] and a list of potential projects for the afternoon session are listed below:

'''Important Note:''' If you plan to attend the Twitter afternoon session, you need to complete the [[Twitter authentication setup]] ''before'' the afternoon setup on Saturday. If you plan to complete the Yelp session, you need to complete the [[Yelp authentication setup]] instructions. There's no promise that we will be running these sessions this weekend unless there is demand but you will need to have done these if you want to attend the session.

=== Session 3: Data Analysis and Visualization (February 15) ===
Come to '''[http://uw.edu/maps/?sav Savery Hall (SAV) 260] by 9:45am'''. You will need time to get settled and setup. We will start lecturing promptly at 10am. There will be coffee!

: '''Time''': 9:45am-4pm

: '''Location:''' [http://uw.edu/maps/?sav Savery Hall (SAV) 260]

: '''Schedule''':

:: '''Morning, 10am-12:20 (SAV 260):''' [[CDSW/Day_3_Lecture|2.5 hour interactive lecture]]
:: '''Lunch, 12:20-1pm (TBD):''' We'll provide lunch ([[:wikipedia:Bahn mi|Bahm mi]] from Saigon Deli)
:: '''Afternoon, 1pm-3:30pm (SAV 130, 137, 138, 156): '''Web API practice through independent projects
::* [[Seattle_open_data|Visualization and analysis of civic data from data.seattle.gov]]
::* [[CDSW/Review_Wk1_Wk2 | Review of Week 1 and Week 2]]
::* 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.