I was surfing GitHub when I found this repository: Awesome Data Science

It has an extensive list of data science bloggers, MOOCS and the diamond: a free list of 24 free datasets sources. Excellent to study and apply some data science techniques.

Some highlights:

MOOC's

• Google Making Sense of Data
• Coursera Introduction to Data Science
• Data Science - 9 Steps Courses, A Specialization on Coursera
• Data Mining - 5 Steps Courses, A Specialization on Coursera
• CS 109 Data Science
• Schoolofdata
• OpenIntro
• Data science MOOC
• CS 171 Visualization
• Process Mining: Data science in Action

Data Sets

• Academic Torrents
• hadoopilluminated.com
• data.gov
• freebase.com
• usgovxml.com
• enigma.io
• datahub.io
• aws.amazon.com/datasets
• databib.org
• datacite.org
• quandl.com
• figshare.com
• GeoLite Legacy Downloadable Databases
• Quora's Big Datasets Answer
• Public Big Data Sets
• Houston Data Portal
• Kaggle Data Sources
• A Deep Catalog of Human Genetic Variation
• A community-curated database of well-known people, places, and things
• Google Public Data
• World Bank Data
• NYC Taxi data
• Open Data Philly Connecting people with data for Philadelphia
• A list of useful sources A blog post includes many data set databases

DSC Resources

• Career: Training | Books | Cheat Sheet | Apprenticeship | Certification | Salary Surveys | Jobs
• Knowledge: Research | Competitions | Webinars | Our Book | Members Only | Search DSC
• Buzz: Business News | Announcements | Events | RSS Feeds
• Misc: Top Links | Code Snippets | External Resources | Best Blogs | Subscribe | For Bloggers

Additional Reading

• Data Scientist Reveals his Growth Hacking Techniques
• Top data science keywords on DSC
• 4 easy steps to becoming a data scientist
• 13 New Trends in Big Data and Data Science
• 22 tips for better data science
• Data Science Compared to 16 Analytic Disciplines
• How to detect spurious correlations, and how to find the real ones
• 17 short tutorials all data scientists should read (and practice)
• 10 types of data scientists
• 66 job interview questions for data scientists
• High versus low-level data science

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