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11/3/19 The solutions for midterm 1 are available here.

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Course Description

This course is an introductory programming course that teaches Python. But in addition to that, it provides an introduction to topics in data science. Topics covered include:

  • Basics of git
  • Regular expressions and text processing
  • Python basics
  • Python data structures and libraries
  • Basic object-oriented programming
  • Basic data visualization
  • Sampling, estimation, hypothesis testing
  • Regression analyses
  • Classification and clustering
  • Basic neural networks

We will have Python programming assignments roughly every week (10 in all), plus a mini-project at the end of the semester.

Prerequisites: Undergraduate level CS 15900 Minimum Grade of C-

Course Details

The syllabus for the course explains the logistical details of the course. The course also uses a Piazza discussion board for course questions.

Lecture Notes

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