The textbook for the UC Berkeley Data Science course is available for free online at Computational and Inferential Thinking. It is an online textbook and appears to be created as a collection of Jupyter notebooks. Here are some of the topics covered:
- An Intro to Python for Data Science
- Basic Plotting
- and much more
The book is free and open-source.
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.
The University of California at Berkeley has started The Berkeley Data Science Education Program. The goal is to build a data science education program throughout the next several years by engaging faculty and students from across the campus. The introductory data science course is targeting freshman and it is taught from a very applicable and interactive environment. The course videos, slides, labs, and notes are freely available for others to use. The course heavily uses Jupyter. Also, the course textbook is online at Computational and Inferential Thinking: The Foundations of Data Science.
Jenna Dutcher, community relations manager for the datascience@berkeley online master’s program, interviewed more than 40 thought leaders to answer this one simple question: What is big data? (Full disclosure: I was honored to be asked to provided a definition on the list.)
The answers are quite diverse and definitely worth reading.
I thought Hal Varian, Chief Economist at Google, provided one of the simplest and best definitions.
Big data means data that cannot fit easily into a standard relational database.
See the full list of What is Big Data?
Which definition is your favorite? How would you define big data?
Here is a great infographic from Data Science @ Berkeley. Just how big is a Gigabyte(GB)? Be sure to look all the way to the bottom. It mentions/explains a few of the latest innovations in hard drives, for example: helium, SMR, HAMR. You will have to scroll to the bottom to see what those acronyms mean.
Brought to you by datascience@berkeley: Master of Information and Data Science
The University of California at Berkeley just announced a new masters degree in Information and Data Science (MIDS). The program is targeted to be completed entirely online with the exception of a one week visit to the campus. The program has a approximate cost of $60,000 for the 27 required credits. The curriculum looks good. It includes: machine learning, data analysis, visualization, big data processing, and privacy/ethics. The initial class of students will start in January of 2014.