All the information about workshops happening can be found here.
We will be using Discord for all workshop related announcements and communications. Please check your email for the Discord invite. Some workshops may provide additional "office hours" in the week leading up to Vancouver Datajam. Check back here for more information closer to the date!
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Beginner R Workshop
Facilitator:
Jasmine Lai & Melissa Bather
Date:
Sep 8, 2023
Time:
6PM
Location:
Zoom (Link to be provided)
Level: Beginner
Facilitator Bios: Jasmine is an Analytics Engineer at Aggregate Genius where she helps clients build R Shiny applications. You can find her running RLadies Vancouver and biking around the city.
Melissa has been using R for seven years. She works as a Data Engineer while studying a Master of Science in Statistics part time at the University of Auckland, the birthplace of R!
Workshop Description: This is an introduction to R workshop on manipulating, analyzing, and plotting data in R. This will be a good workshop for anyone who is completely new to programming or wants to refresh their R knowledge.
Location:
Unbounce (5th floor of the main building)
Level: Intermediate
Facilitator Bio: Machine Learning Engineer at Unbounce
Workshop Description: The workshop will teach participants how to use Gradio (a Python library for building web apps and UI) and APIs for AI models (for eg., from OpenAI) to build machine learning based tools without requiring any front-end or web development skills. We will start with building a text to image generation app, and time permitting, will build a chatbot trained to answer questions based on a corpus/dataset.
Automating ETL Processes with JupySQL and GitHub Actions
Facilitator:
Laura Funderburk
Date:
Sep 12, 2023
Time:
6PM
Location:
Unbounce (5th floor of the main building)
Level: Intermediate
Facilitator Bio: Laura Funderburk works as a developer advocate for Ploomber. She has over three years of professional working experience in data science roles in a variety of settings including the private and the NGO sectors. Laura completed her B.Sc. Mathematics at SFU. In recognition of her ability to face adversity and give back to the community she forms part of, her Alma Mater awarded her a Terry Fox gold medal in 2019.
Workshop Description: Data analytics and business intelligence rely heavily on efficient data extraction, transformation, and loading (ETL) processes. This workshop will provide participants with a comprehensive understanding of ETL and JupySQL - a Python library that enables seamless SQL based ETL from Jupyter notebooks. We will also introduce GitHub actions for scheduling and automating ETL processes. By the end of this workshop, participants will have hands-on experience with these tools and will be able to schedule their own ETL jobs.
Liar, Liar, Earth's on Fire: Detecting Climate Disinformation Using Prompt Engineering
Facilitator:
Jata MacCabe & Ananya Apparaju
Date:
Sep 13, 2023
Time:
6PM
Location:
Northeastern University, Vancouver Campus (Room 211)
Level: Intermediate
Facilitator Bios: Jata: I am a Data Scientist and Fullstack engineer from the Maritimes. I’m a graduate of the UBC Master’s of Data Science in Computational Linguistics program, and I love applying tech to sustainable development. I love to read, spend time in the woods, and rewatch my favourite movie (Meet the Robinsons).
Ananya: I'm a computational linguist, prompt engineer and I'm really interested in exploring language technology! I recently completed grad school at UBC and work at Meta. My life's goal is to somehow become the protagonist of the movie 'Arrival' (or just Amy Adams in general).
Workshop Description: We'll cover the basics of prompt engineering, including types and techniques. We'll work with Llama, GPT, Climate bert. This workshop will be low in hard coding but will include options to go "above and beyond" if they want to. The final interactive portion will be seeing if the machine learning models that the attendees make can detect climate misinformation in a variety of press releases, news articles, and social media content.
Facilitator Bio: Laura Funderburk works as a developer advocate for Ploomber. She has over three years of professional working experience in data science roles in a variety of settings including the private and the NGO sectors. Laura completed her B.Sc. Mathematics at SFU. In recognition of her ability to face adversity and give back to the community she forms part of, her Alma Mater awarded her a Terry Fox gold medal in 2019.
Workshop Description: An introductory Python course that will cover the basics of syntax and functions, as well as packages such as Pandas.
Location:
Unbounce (5th floor of the main building)
Level: Advanced
Facilitator Bio: Daniel has been working as a software engineer focused on data engineering, ML, observability, and distributed systems. He loves to learn about scaling out data infrastructure and share insights about the industry. Looking forward to learning together!
Workshop Description: This workshop will focus on adding functionality and tooling to a simple ML pipeline to make it production-ready. We will start with the most basic pipeline and build toward a more sophisticated pipeline that incorporates task orchestration, fault tolerance, parallelism, observability, and potentially more. At the conclusion of the workshop, you should come away with a better understanding of orchestration tools for pipelines, machine learning, and observability concepts.
