The University of California at Berkeley is offering its very popular undergraduate data science course, Foundations of Data Science: Computational Thinking with Python, online via EdX. The course can be taken for free and it starts Monday April, 2 , 2018.
This course is actually part of a larger certificate program, Foundations of Data Science. You must pay to receive the certificate.
A group of data-minded people have put together a manifesto for data practices. It is available on the Data Practices website. It lists ethics, values, and principles for effective data teamwork.
You are invited to read and sign if you agree.
Coursera has partnered with the University of Michigan to launch a new master’s degree entirely online through the Coursera platform. The new Master of Applied Data Science degree will launch in Fall of 2019.
Also of interest, Arizona State University and the University of Illinois at Urbana-Champaign both announced masters degrees in computer science (both with data science portions) through the Coursera platform.
Chartio put together a nice online interactive tutorial for learning SQL.
SQL is almost an essential tool for data science. Rarely is there a project where knowing SQL is not necessary.
Pablo Casas has published a book freely available online, Data Science Live Book. To quote from the book,
It is a book about data preparation, data analysis and machine learning.
The book is open source, and the code examples are written in R.
Columbia University’s course Applied Machine Learning Spring 2018 by Andreas C. Müller has all the lecture notes, slides, homework, and videos posted online.
Andreas is also the author of the book Introduction to Machine Learning with Python.
DataCamp recently launched a new community site, Data Science News, for sharing and discovering data science news. It is similar to Hacker News if you are familiar with that site.
Google has recently released a Jupyter Notebook platform called Google Colaboratory. You can run Python code in a browser, share results, and save your code for later. It currently does not support R code.
via An executive’s guide to machine learning | McKinsey & Company.
A nice read if you are looking for a short introduction to the history and importance of machine learning.
Mapping youth well-being worldwide with open data – From DataKind
Once again, I was honored to write a guest post for DataKind. This time is was on the spread of open source software by data-do-gooders. A couple years ago, DataKind hosted a DataDive in Washington D.C. and some of the participants created a mapping software project titled DataTools 2.0. Since then, it has been replicated by a number of groups around the globe. Read the full post on the DataKind blog to find out more.