Data Science Real World

Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp, you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.

Has escuchado el termino Blockchain, pero, ¿Qué es realmente? Basado en el contenido del curso ejecutivo sobre Blockchain puedes aprender lo que se le enseña a los consultores, ejecutivos, lideres, abogados, especialistas en marketing, educadores, etc. alrededor del mundo, para entender y aplicar los conceptos de Blockchain para su uso en el mundo real.

Luis Roberto Barroso se tornou conhecido dos brasileiros por sua atuação corajosa, lúcida e invariavelmente comprometida com o interesse público como Ministro do Supremo Tribunal Federal. Mas os horizontes intelectuais de Barroso transcendem suas responsabilidades como juiz. Ele é, há décadas, um estudioso das grandes questões da vida brasileira e mundial.

In the digital age, where data is king, the role of data engineering has become paramount in deciphering the vast ocean of data into structured insights. "Ace the Data Engineering Job Interview" is an indispensable resource for anyone looking to stand out in the rigorous interview processes of top tech companies like Google, Amazon, Facebook, Apple, Netflix, and more.

This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data.