This workshop will be offered on-line over Zoom. All registered participants will recieve a Zoom link after registrations close, typically 24 hours prior to the start of the workshop. 

NOTE: Please register for this workshop using your UC or other university email address, if you have one.  

Google Cloud and AutoML offer a wide variety of tools for data analysis, including python workbooks, SQL, machine learning, document classification, OCR (text extraction), translation, sentiment analysis, and more. 

In this workshop, we'll review how to access and use these services using Google Colab, BigQuery, and AutoML.  

Prerequisites: To fully participate in the workshop exercises, you'll need SQL and Python knowledge at the level of the DSI intro workshop series. However, feel free to enroll if you'd like to learn more about Google Cloud services without these prerequisites. 

For more information, please see the CLE page at:

https://courses.ucsf.edu/course/view.php?id=8237

Digital Humanities Sequence

This sequence is designed for people with no prior programming experience. The workshops start with core python and sql before moving into more advanced or specialized topics in digital humanities, with an emphasis on text analysis and machine learning. 

You are welcome to take any of these workshops without attending the entire series. No formal pre-reqs are enforced, but if you are new to Python or SQL, you’ll get the core programming skills necessary for the later workshops by attending Intro to Python Part 1 and Part 2 along with Intro to SQL. 

Registration Links: 

• Intro to Python Part 1:
  • https://calendars.library.ucsf.edu/event/11946795
• Intro to Python Part 2:
  • https://calendars.library.ucsf.edu/event/11946839
• Intro to SQL:
  • https://calendars.library.ucsf.edu/event/11946900
• Data Analysis with Python, Pandas, and SQL:
  • https://calendars.library.ucsf.edu/event/11947263
• Intro to Unix:
  • https://calendars.library.ucsf.edu/event/11947161
• Reading Data from APIs with Python, Pandas, and SQL:
  • https://calendars.library.ucsf.edu/event/11947321
• Machine Learning with Python and Scikit-Learn:
  • https://calendars.library.ucsf.edu/event/11947452
• Python Background for Text Analysis and Natural Language Processing:
  • https://calendars.library.ucsf.edu/event/11947471
• Machine Learning for Document Classification and Sentiment Analysis:
  • https://calendars.library.ucsf.edu/event/11947489
• Google Cloud Tools, BiqQuery, and VertexAI:
  • https://calendars.library.ucsf.edu/event/11947492