Skip to content

Commit 5831842

Browse files
New SQL School and Python Tutorials
1 parent f3362d5 commit 5831842

File tree

1 file changed

+8
-4
lines changed

1 file changed

+8
-4
lines changed

README.md

Lines changed: 8 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -137,13 +137,18 @@ _OSDSM Specialization: [Web Scraping & Crawling](https://github.com/datasciencem
137137
* NLP with Python (NLTK library) [Digital](http://bit.ly/ebook-nltk), [Book ```$36```](http://amzn.to/1iMrDIp)
138138
* How to Write a Spelling Correcter / Norvig (Tutorial)[http://norvig.com/spell-correct.html]
139139

140-
* **Analysis**
141-
* Python for Data Analysis [Book ```$24```](http://amzn.to/Q2pI5I)
140+
### Data Analysis
141+
One of the "unteachable" skills of data science is an intuition for analysis. What constitutes valuable, achievable, and well-designed analysis is extremely dependent on context and ends at hand.
142+
142143
* Big Data Analysis with Twitter [UC Berkeley / Lectures](http://bit.ly/cal-course-bigdatatwitter)
143144
* Exploratory Data Analysis [Tukey / Book ```$81```](http://amzn.to/1kNUEPa)
145+
146+
* **in Python**
147+
* Data Analysis in Python [Tutorial](http://bit.ly/mode-python-tutorials)
148+
* Python for Data Analysis [Book ```$24```](http://amzn.to/Q2pI5I)
144149
* An Example Data Science Process [ipynb](http://bit.ly/ipydsprocess)
145150

146-
### Data Design
151+
### Data Communication and Design
147152

148153
* **Visualization**
149154

@@ -175,7 +180,6 @@ _OSDSM Specialization: [Data Journalism](https://github.com/datasciencemasters/g
175180
* Learn Python the Hard Way [Digital](http://bit.ly/ebook-learnpyhardway) & [Book ```$23```](http://amzn.to/1hmzGw9)
176181
* Python [Class / Google](http://bit.ly/T4j40A)
177182
* Think Python [Digital](http://bit.ly/ebook-thinkpy) & [Book ```$34```](http://amzn.to/1ktQ5ZU)
178-
* Introduction to Computer Science and Programming [MIT OpenCourseWare / Lectures](http://bit.ly/mit-cs)
179183

180184
#### **Python** (Libraries)
181185
Installing Basic Packages [Python, virtualenv, NumPy, SciPy, matplotlib and IPython ](http://bit.ly/scientific-py-install) & [Using Python Scientifically](http://bit.ly/lecture-scipy)

0 commit comments

Comments
 (0)