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Added one useful resource #26

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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -59,6 +59,7 @@ A note about order - I framed the contents in the Pipeline & Tools section order
* [Data Science Pipeline](http://machinelearningmastery.com/wp-content/uploads/2014/05/Overview-of-the-Applied-Machine-Learning-Process.png) - Detailed overview of data pipeline from MachineLearningMastery.com
* [Intro to ipython](https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks/_edit#entire-books-or-other-large-collections-of-notebooks-on-a-topic) - A curation of Ipython Notebooks great for introductory level to python, programming, comp sci, data science and other topics.
* [How do I Become a Data Scientist?](http://www.quora.com/How-do-I-become-a-data-scientist) - Some more great starting points from William Chen.
* [Data Science Roadmap: An In-Depth Guide](https://www.appliedaicourse.com/blog/data-science-roadmap/) - This roadmap will help in navigating the journey into data science, making it easier to build the necessary skills and stand out in this competitive landscape.

### Data Science Courses:
* [Coursera](https://www.coursera.org/specialization/jhudatascience/1) - Data Science Specialization at Coursera - many other courses available as well.
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