dataanalysis
Get flash to fully experience Pearltrees
Developments in the field of statistical data analysis often parallel or follow advancements in other fields to which statistical methods are fruitfully applied. Because practitioners of the statistical analysis often address particular applied decision problems, methods developments is consequently motivated by the search to a better decision making under uncertainties. Decision making process under uncertainty is largely based on application of statistical data analysis for probabilistic risk assessment of your decision.
Topics in statistical data analysis
Quick-R: Home Page
R is an elegant and comprehensive statistical and graphical programming language. Unfortunately, it can also have a steep learning curve . I created this website for both current R users, and experienced users of other statistical packages (e.g., SAS , SPSS , Stata ) who would like to transition to R . My goal is to help you quickly access this language in your work.
One of the most frequent questions I get is, " What software do you use to visualize data?" A lot of people are excited to play with their data, but don't know how to go about doing it or even start. Here are the tools I use or have used and resources that I own or found helpful for data visualization – starting with organizing the data, to graphs and charts, and lastly, animation and interaction. by sleepy sparrow Data are hardly ever in the format that you need them to be in. Maybe you got a comma-delimited file and you need it to be in XML; or you got an Excel spreadsheet that needs to go into a MySQL database; or the data are stuck on hundreds of HTML pages and you need to get it all together in one place.
40 Essential Tools and Resources to Visualize Data | FlowingData
Inferring From Data
Developments in the field of statistical data analysis often parallel or follow advancements in other fields to which statistical methods are fruitfully applied. Because practitioners of the statistical analysis often address particular applied decision problems, methods developments is consequently motivated by the search to a better decision making under uncertainties. Decision making process under uncertainty is largely based on application of statistical data analysis for probabilistic risk assessment of your decision. Managers need to understand variation for two key reasons. First, so that they can lead others to apply statistical thinking in day to day activities and secondly, to apply the concept for the purpose of continuous improvement. This course will provide you with hands-on experience to promote the use of statistical thinking and techniques to apply them to make educated decisions whenever there is variation in business data.
Advertisment: In 2006 I joined Google. We are growing a Google Pittsburgh office on CMU's campus. We are hiring creative computer scientists who love programming, and Machine Learning is one the focus areas of the office.
Statistical Data Mining Tutorials