Revit 2015

Historia del Diseo en Amrica Latina y el Caribe (History of Design in Latin America and the Caribbean) is a collective work that offers a panorama of the development of industrial and graphic design for the last fifty years. Its focus is to place the design in the frame of the economic and social policies as well as the local industrial and regional ones, and also to set the ground for a future history of the material and visual culture, from the projective perspective in Latin America. Among the Latin American countries, there are certain similarities and structural affinities that let...

Learn how to leverage the power of R for Business Intelligence About This Book Use this easy-to-follow guide to leverage the power of R analytics and make your business data more insightful. This highly practical guide teaches you how to develop dashboards that help you make informed decisions using R. Learn the A to Z of working with data for Business Intelligence with the help of this comprehensive guide. Who This Book Is For This book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity...

¿Te has preguntado cómo te sentirías al trabajar haciendo lo que más te gusta, desde la comodidad de tu hogar? ¿Te gustaría dejar de desperdiciar horas de tu vida en transporte, y que puedas trabajar a la hora que quieras? ¿Te gustaría crear nuevas fuentes de ingresos que hacen dinero mientras duermes? Entonces sigue leyendo.. “La opción de trabajar desde casa cuando sea necesario o de intentar cambiar tu estilo de vida sin tener que cambiar de empleos, es una ganancia para todos” - Scott Berkun Muchas personas sueñan con el hecho de poder tener más control de su tiempo. Para...

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools...