Open the companion for this week’s lab next to your notebook. Each companion explains what every step does, what to notice in the output and why the step matters.
Use the Ask about this lab panel to ask about the part you are reading, or open Common questions for answers your instructor has already approved.
Choose your module
- Module 2Python, Pandas, and First Data Profile
- Module 3Data Cleaning and Individual Project Kick-Off
- Module 4GitHub, Reproducibility, Governance, and Ethics
- Module 5Basic Data Transformation with Pandas
- Module 6String and Categorical Data Transformation
- Module 7Aggregation, Reshaping, and Light Validation
- Module 8Data Integration with Pandas Merge
- Module 9Database Setup and SQL Fundamentals
- Module 10SQL Joins and ABT Preparation
- Module 11Final Data Checks, Data Dictionary, and ABT Documentation
- Answers are based on the companion and may add general background. The lab notebook is still the authoritative source.
- Graded parts are not answered for you; the helper gives hints and points to the right steps.
- Please do not type your name or other personal details into questions.
- Questions about grades, deadlines or extensions go to your instructor.