2. Data Science Tutorials

  • Codementor: Codementor offers tutorials for beginners and professionals. Learners can access a number of useful guides on how best to analyze data. This includes introductions to machine learning and tips on choosing the right data analytics software packages.
  • Topcoder: This website offers tutorials that discuss the various concepts involved in Data Science and has a platform for industry experts to offer advice. They also provide practical, real-world advice on a multitude of topics as well as start-up guides for those who are new to the site.
  • Analytics Vidhya: Here, learners will find a comprehensive tutorial for learning Data Science with R, including an in-depth guide that covers everything from the basics of programming and data exploration to predictive modelling and data manipulation. Other data science tutorials are available, including one on learning Data Science with Python.
  • KDnuggets: They offer a variety of tutorials covering everything from the processes of Data Science to how to get started with Data Visualization. The website also offers two tutorials on potential interview questions for Data Scientists that provides helpful answers and advice from the editors at KDnuggets.
  • R-bloggers: This tutorial covers the use of R techniques with SQL servers. There are a total of 5 lessons that walk users through the processes involved while incorporating R models into a live SQL server. There are a variety of other tutorials available on this site that offer information on the latest changes and updates in the industry.
  • Flowingdata: Produced by Dr. Nathan Yau, Ph.D., these tutorials offer expert advice on how to present, analyze, and understand data with practical guides to illustrate with real-time examples. Flowingdata also offers readers book recommendations, insights into the life of a Data Scientist and examples of how data can help people understand the world around them.

References
[1] R. Bhargav. (2016, Jul. 13). 18 Resources to Learn Data Science Online [Online]. Available: http://www.simplilearn.com/resources-to-learn-data-science-online-article/all-resources.