Prompt Engineering for Data Science Competency (Intermediate Level)

  • 23m
  • 23 questions
The Prompt Engineering for Data Science Competency (Intermediate Level) benchmark measures your recognition of how to effectively leverage generative AI to filter, aggregate, merge, analyze, and visualize data. A learner who scores high on this benchmark demonstrates that they have the competency to leverage prompt engineering and generative AI for data science tasks.

Topics covered

  • clean categorical data
  • combine DataFrames with vertical stacking
  • create interactive scatter charts and heatmaps
  • create interactive time series visuals with plotly
  • create pivot tables
  • debug issues related to pd.concat
  • execute complex queries
  • explore bivariate visualizations
  • explore other types of joins
  • Filtering by Column Headers and Row Labels
  • group and aggregate time series data
  • perform a join on multiple columns
  • perform filtering and querying
  • perform filtering with dates and strings
  • perform groupby and aggregations
  • perform inner joins
  • perform multi-column groupby
  • perform simple aggregations
  • remove duplicate records
  • reshape data using pivot tables
  • view and fill missing values
  • visualize time series data
  • visualize univariate data