Fin

December 2, 2024

Jo Hardin

Data Science Overview

Based on https://www.effectivedatastorytelling.com/post/a-deeper-dive-into-lego-bricks-and-data-stories, original source: https://www.linkedin.com/learning/instructors/bill-shander

Data Science Overview

Based on https://www.effectivedatastorytelling.com/post/a-deeper-dive-into-lego-bricks-and-data-stories, original source: https://www.linkedin.com/learning/instructors/bill-shander

Data Scientists

Who does data science?

connecting, uplifting, and recognizing voices – a database of statisticians and data scientists.

Take-aways

  • 80-90% of data science work is data wrangling and visualization
  • wrangling the data well is usually more important than modeling the data well
  • there are many choices along the way, there is no such thing as truth
  • if you can’t reproduce the work, you should question whether to trust it
  • communicating to your audience is likely the most important aspect of doing data science