Skip to content

Fix broken links #153

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
bugarela wants to merge 1 commit into from
Closed

Fix broken links #153

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 5 additions & 5 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -66,10 +66,10 @@ Classic academic conduits aren't providing Data Scientists -- this talent gap wi

Start here.

**Intro to Data Science** / UW [Videos](https://github.com/datasciencemasters/go/issues/102)
**Intro to Data Science** / UW [Videos](https://www.youtube.com/playlist?list=PLfF9FGsj0cVQuQUd0RIt0S41UeJFjAPiZ)
* *Topics:* Python NLP on Twitter API, Distributed Computing Paradigm, MapReduce/Hadoop & Pig Script, SQL/NoSQL, Relational Algebra, Experiment design, Statistics, Graphs, Amazon EC2, Visualization.

**Data Science** / Harvard [Videos](http://bit.ly/harvarddatasciencevideos) & [Course](http://bit.ly/harvarddatasciencecourse)
**Data Science** / Harvard [Slides](https://github.com/cs109/2015) & [Course](http://bit.ly/harvarddatasciencecourse)
* *Topics:* Data wrangling, data management, exploratory data analysis to generate hypotheses and intuition, prediction based on statistical methods such as regression and classification, communication of results through visualization, stories, and summaries.

**Data Science with Open Source Tools** [Book ```$27```](http://bit.ly/book-datasciencewithopensourcetools)
Expand Down Expand Up @@ -168,7 +168,7 @@ _OSDSM Specialization: [Web Scraping & Crawling](https://github.com/datasciencem
#### **Natural Language Processing**
* From Languages to Information / Stanford CS147 [Materials](http://bit.ly/nlpcs124)
* NLP with Python (NLTK library) [Digital](http://bit.ly/ebook-nltk), [Book ```$36```](http://amzn.to/1iMrDIp)
* How to Write a Spelling Correcter / Norvig (Tutorial)[http://norvig.com/spell-correct.html]
* How to Write a Spelling Correcter / Norvig [Tutorial](http://norvig.com/spell-correct.html)

### Data Analysis
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.
Expand Down Expand Up @@ -215,7 +215,7 @@ _OSDSM Specialization: [Data Journalism](https://github.com/datasciencemasters/g
* Think Python [Digital](http://bit.ly/ebook-thinkpy) & [Book ```$34```](http://amzn.to/1ktQ5ZU)

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

[Command Line Install Script](https://github.com/fonnesbeck/ScipySuperpack) for Scientific Python Packages

Expand Down Expand Up @@ -251,7 +251,7 @@ _More Libraries can be found in the ["awesome machine learning"](https://github.

#### **iPython Data Science Notebooks**
* [Data Science in IPython Notebooks](http://bit.ly/ipynb-ds) (Linear Regression, Logistic Regression, Random Forests, K-Means Clustering)
* [A Gallery of Interesting IPython Notebooks - Pandas for Data Analysis](http://bit.ly/ipyfordataanalysis)
* [A Gallery of Interesting IPython Notebooks - Pandas for Data Analysis](https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks)

#### Datasets are now [here](http://bit.ly/osdsm-datasets-link)

Expand Down