This material contains different quick courses with many examples and solutions in mathematical problems introducing popular technologies used in data analysis in order to solve these problems, this material is aimed to people that are interested in to starting in data science and big data technologies.

About this material.

The material presented has been developed with free software, the code that the notebooks contain is mostly its own and made for academic and training purposes.

Software used during the elaboration of the content:

Apache Spark 2.0.1	https://spark.apache.org/
Jupyter notebooks	http://jupyter.org/
Python 3	https://www.python.org/download/releases/3.0/
Docker	https://hub.docker.com/r/jupyter/all-spark-notebook/

Introduction to Python	Get notebook
Variables	Get notebook
Basic Operators	Get notebook
Control Statements	Get notebook
Functions	Get notebook

Spark Introduction	Get notebook
Distributed operations with RDDs	Get notebook
DataFrames and Relational Operations	Get notebook