Currently, massive information and big data are trending topics. Those terms refers to stored information which are both big and complex. Data Science refers to the set of specialized tools which are required for the manipulation and analysis of complex data. This trend is related to the increasing capacity to store data in current memory devices. Nowadays, it is possible to store huge quantities of information without having any complex hardware facilities using cloud technologies. The aim of Data Science is to generate knowledge and value from stored information.

In this course we will focus in Data Science applied to Biomedical Research. The results of biological experiments needs to be sorted, classified and visualized in the form of plots and tables. Additionally, they are subject to statistical testing and model fitting in order to integrate the information and generate coherent biological interpretations that further suggests insights to formulate new experimental hypothesis. Data visualization also improves communication of results and highlights the experimental work. The aim of the present course is to be a hands on introduction to the basics of Data Science based on Biomedical real life data examples.

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Programming is a hands on skill. Here, there some references that includes advices on how to improve your way of learning programming.

• The ten commandments for learning how to code. Ten tips on how to start to learn programming languages, by Atma Ivancevic.

• Mastering your day as a programmer. Great post about healthy practices in programming.

Data Science is a trending topic.

• Cambridge Analytica. Facebook lost US $37.000 M in one day.

• Ciencia de Datos: la nueva licenciatura sexy. Revista Proceso article concerning Data Science new career at the UNAM.