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Practice Final Exam Release Notes

PFX = "Practice Final Exam problems"

Practice Exam Solutions

PFX-SP25

Official Solution

TA Walkthrough Video

TA Walkthrough Solution

  • Point breakdown: 11 exercises; 23 points available; 14 points required for 100%; Time limit 4 hours
  • Topic: Analysis of the Olympics
  • Key skills: Pandas, Python data structures, SQL, string manipulation, feature engineering, train/test split, model performance metrics

PFX-FA24

Official Solution

TA Walkthrough Video

TA Walkthrough Solution

  • Point breakdown: 9 exercises; 17 points available; 13 points required for 100%; Time limit 4 hours
  • Topic: Predicting Student College Enrollment
  • Key skills: Basic Python, Pandas, Numpy, math to code

PFX-SP24

Official Solution

TA Walkthrough Video

TA Walkthrough Solution

  • Point breakdown: 9 exercises; 16 points available; 12 points required for 100%; Time limit 4 hours
  • Topic: Topic Identification
  • Key skills: Basic Python data structures, pandas, Numpy, clustering, and matrix factorization

PFX-FA23

Official Solution

TA Walkthrough Video

TA Walkthrough Solution

  • Point breakdown: 11 exercises; 22 points available; 15 points required for 100%; Time limit 4 hours
  • Topic: Exam Analysis
  • Key skills: Pandas, Numpy, basic Python data structures, and linear regression

PFX-SP23

Official Solution

TA Walkthrough Video

Note that there is not a TA Walkthrough Solution document available.

  • Point breakdown: 9 exercises; 18 points available; 12 points required for 100%; Time limit 4 hours
  • Topic: Analysis of NYC bike-share planning. The notebook draws on your skills related to pandas, graphs, and clustering, in addition to many other concepts.
  • Key skills: Pandas, Numpy, basic Python data structures (including nested data), clustering, lin alg, and implementing mathematical functions.

PFX-FA22

Official Solution

TA Walkthrough Video

TA Walkthrough Solution

  • Point breakdown: 9 exercises; 18 available points; 13 points required for 100%; 4 hour time limit
  • Topic: Time Series Analysis of US Inflation - In this notebook you will clean up, reshape and perform basic time-series analyses on US Consumer Price Index data to make some inferences about inflation.
  • Key Skills: Pandas, Numpy, basic Python data structures (including nested data), implementing mathematical functions.