# Difference between revisions of "Data Science"

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=== Lecture Notes === |
=== Lecture Notes === |
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+ | * [https://www.slideshare.net/kourouklides/what-is-data-science-99294704/ What is Data Science by Ioannis Kourouklides] |
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* [https://www.csie.ntu.edu.tw/~cjlin/talks/bigdata-bilbao.pdf When and When Not to Use Distributed Machine Learning by Chih-Jen Lin] |
* [https://www.csie.ntu.edu.tw/~cjlin/talks/bigdata-bilbao.pdf When and When Not to Use Distributed Machine Learning by Chih-Jen Lin] |
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## Revision as of 20:57, 9 July 2018

This page contains resources about Data Science, including **Data Engineering**.

## Subfields and Concepts

- Machine Learning / Data Mining
- Exploratory Data Analysis
- Parallel/Distributed/Concurrent Computing in Machine Learning
- Data Engineering
- Big Data

## Online courses

### Video Lectures

### Lecture Notes

- What is Data Science by Ioannis Kourouklides
- When and When Not to Use Distributed Machine Learning by Chih-Jen Lin

## Books

- Tukey, J. W. (1977).
*Exploratory data analysis*. Addison-Wesley. - Schutt, R., & O'Neil, C. (2013).
*Doing data science: Straight talk from the frontline*. O'Reilly Media, Inc. - Zumel, N., Mount, J., & Porzak, J. (2014).
*Practical data science with R*. Manning. - Nolan, D., & Lang, D. T. (2015).
*Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving*. CRC Press. - Elston, S. F. (2015).
*Data Science in the Cloud with Microsoft Azure Machine Learning and R.*O'Reilly Media, Inc. - Grus, J. (2015).
*Data Science from Scratch: First Principles with Python*. O'Reilly Media. - Madhavan, S. (2015).
*Mastering Python for Data Science*. Packt Publishing Ltd. - Blum, A., Hopcroft, J., & Kannan, R. (2015). Foundations of Data Science.
- VanderPlas, J. (2016).
*Python Data Science Handbook: Essential Tools for Working with Data*. O'Reilly Media. - Wickham, H., & Grolemund, G. (2017).
*R for Data Science*. O'Reilly Media.

## Software

## See also

## Other Resources

- 7 Steps to Mastering Data Preparation with Python - blog post
- Web Scraping for Data Science with Python - blog post
- Intro to Distributed Deep Learning Systems - blog post