Data Science

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

Subfields and Concepts

• Machine Learning / Data Mining
• Exploratory Data Analysis
• Data Preparation and Preprocessing
• Parallel/Distributed/Concurrent Computing for Machine Learning
• Data Engineering and Databases
• Data Visualization
• Big Data

Online courses

Video Lectures

• Exploratory data analysis in Python by Chloe Mawer and Jonathan Whitmore - PyCon 2017

Lecture Notes

• What is Data Science by Ioannis Kourouklides
• When [to use] and When Not to Use Distributed Machine Learning by Chih-Jen Lin
• Open Machine Learning Course (Medium)
• Mining Massive Datasets by Jure Leskovec, Anand Rajaraman and Jeff Ullman
• Hardware Acceleration for Data Processing by Gustavo Alonso

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.
• Leskovec, J., Rajaraman, A., & Ullman, J. D. (2014). Mining of massive datasets. Cambridge University Press. (link)
• 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

• Beautiful Soup 4 - Python
• ray - Python
• Elasticsearch
• MongoDB
• Apache Solr
• Apache Hadoop
• Apache HBase
• Apache Spark
• Apache Hive
• Apache Kafka, which includes Kafka Connect
• Apache Cassandra
• Apache ZooKeeper
• Apache Pig
• Apache Storm
• Apache CouchDB
• Apache ActiveMQ
• RabbitMQ
• tensorflow_scala - Scala API for TensorFlow

See also

• Algorithms

Other Resources

• Data Science Guide
• Data Science Engineering, your way
• Large Scale Machine Learning - libraries and papers
• What are some courses on large scale learning? - Quora
• 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
• Princeton Commodities Modeling Blog
• Exploratory data analysis using Python for used car database taken from Kaggle - Github
• Detailed exploratory data analysis with Python - Kaggle
• Python-camp - Github
• Big Data: Spark, Hadoop, Hive, ZooKeeper, Solr, Kafka, Nutch, MongoDB, ... - installation instructions
• Deep Learning with Apache Spark and TensorFlow - blog post
• Build a Simple Chatbot with Tensorflow, Python and MongoDB - blog post
• Visual Data Analysis with Python - blog post
• Exploratory Data Analysis with Pandas - blog post
• Plotly Python Library Maps
• 5 Quick and Easy Data Visualizations in Python with Code - blog post
• William Koehrsen - blog
• ClaoudML - Free Data Science & Machine Learning Resources
• Parallel and Distributed Deep Learning by Tal Ben-Nun