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--- notes:python [2017/03/15 00:54] – hkimscil
+++ notes:python [2017/09/08 08:00] (current) – hkimscil
@@ Line 1: / Line 1: @@
+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]]
@@ Line 20: / Line 22: @@
   * 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/