Data Structures and Data Mining with Python
  • Type Certification
  • Level Advanced
  • Time Months
  • Cost Paid

Data Structures and Data Mining with Python

Issued by UC Davis Division of Continuing and Professional Education

Earners of this badge have performed complex data analysis and demonstrated the ability to create regression and cluster models in Python for data mining. The badge holder has shown advanced Python programming skills using built-in data structures in cloud computing environments to solve large data problems. The badge holder applied these skills in the Data Structures and Data Mining with Python course - completing 20 hours of instruction and 40 hours of hands-on project work.

  • Type Certification
  • Level Advanced
  • Time Months
  • Cost Paid

Skills

Earning Criteria

  • The learner has passed the UC Davis Continuing and Professional Education "Data Structures and Data Mining with Python", an Academic Credit-bearing course, with a grade of “C” or better.
  • Learner completed assignment components of the course with grade of “C” or better. Assignments Included: - Testing big data frameworks like Hadoop in Python for big data analysis & analytics - Applying Python advanced language features to write efficient programs - Applying advanced Python Data Structures for efficient handling of data - Python connectors to access and manipulate data - Analyzing data with Python pandas Assignments were graded by the course instructor.
  • The learner has completed a "data mining analysis" project with grade of “C” or better as assessed by the course instructor. In the project the learner had to run MapReduce on Amazon Web Services (AWS EMR) to show specific outputs, complete a series of tasks using built-in Python data structures, execute ETL with command line interface (Extract, Transform, and Load) and test Spark on EMR.