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
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
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.
- 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
- 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
See also
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
- Detailed exploratory data analysis with python - blog post
- Exploratory data analysis using Python for used car database taken from Kaggle - Github
- Python-camp - Github
- Big Data: Spark, Hadoop, Hive, ZooKeeper, Solr, Kafka, Nutch, MongoDB, ... - installation instructions