Python Programming for Data Scientists

Course topics

  1. Environment setup
    1. Venv(anaconda)
    2. Jupyter
    3. Collaboratory
    4. Code/project structure
  2. Data managing
    1. Numpy(data frames)
    2. Pandas
    3. Data cleaning&normalization
    4. Stat data exploration
  3. Python for ds/ml
    1. Scipy/scikit
    2. Scrapping
    3. Text processing(TF/IDF)
    4. Network science