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https://www.coursera.org/specializations/data-science-python#courses

[[https://www.coursera.org/learn/python-data-analysis/supplement/68grE/syllabus|Syllabus: Applied Data Science with Python]] 
  - basic recommendation [[https://www.coursera.org/learn/python|Programming for Everybody]]
  - python basic 
  - the pandas toolkit
  - Advanced Querying and data manipulation using //pandas//
  - Statistical Analysis with //nuimpy// and //scipy//


  * programmers, 
  * behavioral scientists and 
  * data scientists 
    - computer science and information degrees, 
    - psychology degrees, 
    - law and business degrees. 

And here they apply data driven methodologies to aid in their discovery, from 
  * statistical analysis, 
  * machine learning and 
  * text mining, 
  * information visualization. 

  - Data Exploration and Preparation, 
  - Data Representation and Transformation
  - Computing with Data with R and Python  
  - Data Modeling
  - Data Visualization and Presentation 

http://www.data-analysis-in-python.org/index.html
https://programminghistorian.org/lessons/
https://nealcaren.github.io/python-tutorials/
https://lingfeiwu1.gitbooks.io/data-mining-in-social-science/content/python_for_data_analysis/