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

Syllabus: Applied Data Science with Python

1. basic recommendation Programming for Everybody
2. python basic
3. the pandas toolkit
4. Advanced Querying and data manipulation using pandas
5. Statistical Analysis with nuimpy and scipy

• programmers,
• behavioral scientists and
• data scientists
  1. computer science and information degrees,
  2. psychology degrees,
  3. 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.

1. Data Exploration and Preparation,
2. Data Representation and Transformation
3. Computing with Data with R and Python
4. Data Modeling
5. 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/