Data Science

Data Science specialization from Johns Hopkins University

Data Science specialization from Johns Hopkins University

Instagram scraper in R using a third-party Java lib.

The Analytics Edge course with R from MIT.

Data Science and Engineering with Spark XSeries from University of California, Berkeley.

Data Science and Engineering with Spark XSeries from University of California, Berkeley.

Data Science and Engineering with Spark XSeries from University of California, Berkeley.

Yet another year of books! Ok, in comparison with the previous list, this one is much shorter. 2018 was a great year, full of challenges, work activities and fun, so I didn’t commit too much time to reading.

Without further ado, the books I’ve read were:

Last week I had a great time at the FLISoL 2018 Tucumán. First organized in 2005, the Festival Latinoamericano de Instalación de Software Libre (Latin American Free Software Install Fest) is the biggest event for spreading free software in Latin America and Spain.

For 2017, as part of my yearly planning, I tried to make more time to read several books that I had selected from my list (tsundoku, anyone?). It felt like a good challenge, both in planning and execution, and now I can say it was a great initiative to move forward in both my personal and professional life.

From january to december, I had read the following books: