Data Smash

A continuación dejo una lista con algunos de los cursos con los que he tenido la dicha de toparme en internet; tando de tecnología, como estadística, marketing y otros temas diversos que bien pueden colarse en la bolsa de cualquier interesado en Business Intelligence y Data Science en general. Sin más, saludos y aprovéchenlos. Inbound Marketing https://certification.hubspot.com/certificacion-inbound Google Analytics - Básico e Intermedio https://analytics.google.com/analytics/academy/ Udemy (Pago): https://www.udemy.com/machinelearning/ https://www.udemy.com/data-statistics/ DataCamp: https://campus.datacamp.com/courses/free-introduction-to-r/chapter-1-intro-to-basics-1?ex=1 https://www.datacamp.com/courses/intro-to-python-for-data-science?utm_source=fb_paid&utm_medium=fb_desktop&utm_campaign=dc_registered https://www.datacamp.com/courses/intro-to-python-for-data-science?utm_source=dataSmash&utm_medium=blog&utm_campaign=hireMe Coursera: https://...

Dado que somos seres visuales, para nosotros, una imagen verdaderamente puede decir más que 1000 palabras. Si eso es cierto, imagina entonces cuanto puede decirnos una animación? talvez una gran historia? Hoy comparto uno de mis vídeos favoritos, donde el Doctor Hans Rosling (QDEP), nos muestra la historia reciente de la humanidad, mediante la visualización de datos.

The famous quote has been attributed to W. Edwards Deming, the father of modern quality management. Deming was heavily involved in the economic reconstruction of post World War 2 Japan that saw the country become the world economic powerhouse of the 1960s, 70s and 80s.   Deming had the fundamental philosophy that data measurement and analysis were essential to attaining superior performance in every facet of business. This fundamental principle still holds strong today for any business presence. A significant number of businesses have very little idea on how their business is performing; and more importantly identifying ways to improve it.  This quote by W. Edwards Deming, very concisely explains to us the importance of understanding and interpreting the large volume of data that gets created almost every day by the world.