Discussion 1


NOTE TO STUDENTS: This is not a statistical theory, methods, or computing course. The course expects all students to have mastered standard graduate-level mathematical statistics, probability, and statistical methodology. The course also expects all students to know how to use the R software, Github, Python, iPython/Jupyter Notebook, Unix, and other relevant computer science skills for data science. In particular, the course will not provide any assistant in debugging R/Python or iPython/Jupyter code.

General advise:

  1. Please use google first, DO NOT let me send the following link to you !!!!lmgtfy
  2. Use stackoverflow wisely. How to search in stackoverflow and Help Center
  3. Use Python library: Scipy: Numpy, Pandas, Matplotlib, IPython, scikit-learn
  4. How to ask a good question
  5. Use Anaconda if you don’t want to read anything.

Some Books and Websites you may interested:

  1. Computing Tools for Data Analytics
  2. Machine Learning in Action python
  3. Learn Python the Hard Way
  4. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
  5. Some books recommendation from quantstart
  6. Websites to learn Python

The best way to learn a language is to use it.



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