Data analysis with Python - Spring 2019

Contents:

  • Initializing course environment
  • Running Python code
  • Frequently asked questions

Week 1:

  • Python

Week 2:

  • Python (continues)
  • NumPy

Week 3:

  • NumPy (continues)
  • Matplotlib
  • Image processing
  • Pandas

Week 4:

  • Pandas (continues)

Week 5:

  • Pandas (continues)
  • Machine learning: linear regression

Week6:

  • ML: Naive Bayes classification
  • ML: Clustering
  • ML: Principal component analysis

Week7:

  • Project work
  • Running tests when peer-reviewing students notebooks

Week8:

  • Exam
Data analysis with Python - Spring 2019
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