Skill Share Roundup

Skills We Can Teach

• D3 -- Lam Friday
• Video basics -- Lam Friday

• Python data munging w/ pandas and friends + machine learning with sklearn -- Logan + Cathy, after Lam is back from NY

• UX, UI design, design thinking, game design, concepts of designing interfaces for machine learning, and baking. -- Caroline

• conceptual stuff around journalism: reporting and writing, visual storytelling, how to find stories within data, how to tell them visually, dataviz theory (materials are here: http://lamivo.com/tips.html) -- Lam

• video and audio storytelling (from shooting, to editing, to linear storytelling)

• basic scraping of Facebook, gmail .mbox files, Twitter feeds (and I know how to get access to text messages via spyware) -- Lam

• misc front-end dev (what Cathy said!) -- Lam

• Intro to R -- Amanda

• Basics of Git, SSH, Secure Communication -- Amanda

• Basics of Python -- Amanda

Logan

• Practical machine learning in Python -- how to start finding clusters and making predictions from a dataset, and why you (probably) don't want to use a neural network
• EE related things, depending on interest (soldering, fabricating a printed circuit board, talking to SPI peripherals from a microcontroller or a raspberry pi, etc)
• How to use the 3D printers (super easy, super quick session)
• Numerical computing with NumPy and Julia

Cathy

• git & github
• sql
• regular expressions
• setting up your python dev environment (since I just did this & it's fresh in my mind :P)
• intro to some useful python libraries: csvkit, pandas, requests
• misc web dev things: bootstrap, jquery, django, highcharts, leaflet, underscore

Saito

street projection, projection mapping integration of practice into community groups, political groups and DIY spaces processing scraping/analyzing/responding/generating text from geo-located twitter feeds

We Want To Learn

• Wilderness First Aid
• social media scraping, intro to python for machine learning and parsing! pretty much that. -- Caroline

• semantic analysis amanda is working on NLTK
• statistical analysis 😳 via python, SQL, regex
• R

scraping instagram computational graphic design (rapid icon generation, rapid layout generation) automatic projection mapping

• hardware generally, raspberry pi

• sending/receiving/processing SMS

• twitter bots

• marketing & outreach

• Making web visualizations with D3.js

• Qualitative research process / how to run user studies