Simplystatistics.org Website Review

a statistics blog by rafa irizarry, roger peng, and jeff leek. admit it or not. in a traditional statistical training, things like the central limit theorem and the law of large numbers (and their many variations) are de*ply baked into our heads. i probably use the central limit theorem everyday in my work, sometimes for the better, and sometimes for the worse. even if i’m not directly applying a normal approximation, knowledge of the central limit theorem will often guide my thinking and help me to decide what to do in a given data an*lytic situation. universities in training the data science workforce. i preceded each question with opinionated introductions which i have fused into this blog post. these are weakly held opinions so please consider commenting if you disagree with anything. to discuss data science education we first need to clearly state what it means. the panel organizers defined data science as “an emerging discipline that draws upon knowledge in statistical methodology and computer science to create impactful predictions and insights for a wide range of. guest post: galin jones on criteria for promotion and tenture in (bio)statistics departments. ways we could support junior faculty in data science. after giving my talk galin jones, professor and director of statistics at university of minnesota, and i had an interesting conversation about how they had changed their promotion criteria in response to a faculty candidate being unique. i asked him to write about his experience and he kindly contributed the following post. completion and economic outcomes! last monday we launched our chromebook data science program so that anyone with an internet connection, a web browser, and the ability to read and follow instructions could become a data scientist. why did we launch another mooc program? aren’t moocs dead? well we didn’t think so :). we have been pretty excited about moocs for a while now and now run five. chromebook data science - a free online data science program for anyone with a web browser.