Prompt Engineering for Data Science Literacy (Beginner Level)

  • 20m
  • 20 questions
The Prompt Engineering for Data Science Literacy (Beginner Level) benchmark measures your recognition of the basics of pandas DataFrames and Series. You will be evaluated on your knowledge of how to leverage prompts, the capabilities of pandas DataFrame objects, and how generative AI can help you solve your common data manipulation problems. A learner who scores high on this benchmark demonstrates that they have the knowledge required to start leveraging prompt engineering and generative AI for data science.

Topics covered

  • compute new columns in a DataFrames
  • debug issues with sorting DataFrames
  • drop and select columns from DataFrames
  • explore pandas DataFrames
  • explore the features of pandas Series
  • generate code with Chain-of-Thought prompting
  • import and set up pandas
  • index and filter Series
  • iterate over and sort DataFrames
  • outline the use of prompt engineering for code
  • perform DataFrame indexing
  • perform filtering and aggregation
  • perform operations on DataFrames
  • provide an overview of data analysis and visualization
  • read CSV files into pandas DataFrames
  • read data from a variety of sources
  • use the apply and filter functions
  • view DataFrame properties and features
  • work with indexes in pandas Series
  • write data out to files