Data Science

Python is one of the top 3 tools that Data Scientists use. One of the tools in their arsenal is the Pandas library. This tool is popular because it gives you so much functionality out of the box. In addition, you can use all the power of Python to make the hard stuff easy! 

A series on writing effective, idiomatic pandas.

Learn to use Apache Spark for Analyzing OpenStreetMap and other Geospatial Data

Correlation Is Not Causation explains how to test for the five most common correlation-causation pitfalls that even the pros fall into.It is packed with visually intuitive examples and is perfect for beginners! Discover the world of correlation and causation. Get this book, TODAY! Spoiler Alert: There's also a FREE book for you to claim inside!

Roger Peng and Hilary Parker started the Not So Standard Deviations podcast in 2015, a podcast dedicated to discussing the backstory and day to day life of data scientists in academia and industry. This book collects many of their conversations about data science and how it works (and sometimes doesn't work) in the real world.

A visual, hands-on guide to Microsoft's Power BI Desktop. In no time you will be up and running, creating powerful visualisations from data gathered everywhere.

Ya lo dijo Viviane Reding, comisaria europea de justicia, en julio de 2011: Europa no puede permitir que tres empresas privadas estadounidenses la destrocen. Desde 2010, términos como prima de riesgo, rating, solvencia, bonos a 10 años, etc. se han convertido en un miembro más de nuestra cotidianidad. Sin embargo, para el público general estos términos, aunque usados de forma habitual, son profanos

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.

Want a quick start way of generating those reports you've been asked for about the performance of your FutureLearn course? Or maybe fancy the idea of pulling together a simple dashboard to review course progress? This recipe book should get you started...

Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data science tasks on medium- to large-scale data sets, using Jupyter as the master controller.

The textbook for the data science intensive specialization at UCLA extension. **FREE** until completed.

Use numpy to explore the quantum realm. 

The Bioconductor project is a widely used open source and open development platform for software for computational biology. It is a leading platform for doing data science in Genomics.  This book covers the core functionality needed to deploy Bioconductor on modern datasets, and will lay the foundation for you to learn and explore parts of the project devoted to specific application domains.

Your correlation results are probably wrong. Sorry, but they are.You see, there is one really important thing to know about your correlations that mean that whatever results you get you can’t be sure they are correct. Beginner’s Guide to Correlation Analysis fixes that. Discover the world of correlation analysis. Get this book, TODAY!

Data engineers are the unsung heroes who make analytics and data-driven applications possible.  This handbook introduces the fundamentals of what it's like to work with data, and the skills and concepts needed to develop "data products" in the real world.