Need Inspiration & Ideas

  • This list is meant to inspire you!

A good presenter does NOT have to be:

  1. an expert on the topic
  2. an experienced speaker
  3. a “rockstar” or “ninja”

Instead, A good speaker is:

  1. interested in communicating effectively
  2. enthusiastic about the topic, and helping others
  3. willing to do some homework to pull together demos and/or visuals

Ideas

  • [Who, what, where, when, why and how] - Talking DS to a Journalist
  • Python - Setting up your enviroment (versions for window, linux or that other OS)
    • working with Conda or
    • venv
  • Documenting your work - the PEP-8 way
  • Exploring <insert your favorite library>
  • Git, github, and source control (how to make your repo look professional)
  • How to OOP with Python
  • Talking to databases
  • Exploratory Data Analysis Examples/ Reporting
  • How to compare/run multiple ML models.
  • Flask
  • Dash
  • Django
  • Automating Reports and reporting

  • R-library: Usethis

  • How to work with OSS

  • Overview of data types in Python/R

  • Overview of an interesting algorithms

  • Approaches to logging

  • What is type hinting and should I be using it?

  • Helpful __dunder__ methods

  • Debugging, For a lightning talk

  • I’m teaching myself X, and it’s really ___

  • Learn more about the Tidyverse list packages.
    • Interesting to learn: googlesheets4, googledrive, josnlite, xml2, rvest, httr,
    • Note: tidytext, gganimate, broom, infer tidymodels, Patchwork, ggrepel, kableextra, purr, janitor,
    • It would nice to have a bullet point list of all the Tidyverse packages with a one line description.
    • See Roger Peng’s book on Tidyverse for D.S.
  • To Do: Produce a one-pager on creating sequences in R using seq(length.out, etc.)