Showing posts with the label R PROGRAMMING

Learn HTML5 Programming By Building Projects

Learn HTML5 Programming By Building Projects About this Course In order to master a technique in web development or any artistic field, the best approach is one that's hands-on. This allows you to not only learn concepts, but also apply them right away to build your own projects from scratch. That's why this course guides you through the process of actually creating a variety of games, apps, and sites using HTML5 and JavaScript. Master HTML5 and JavaScript, starting with the creation of 10 apps and games. •  HTML5 and JavaScript, Including Semantic Markup and Boilerplate Framework •  CSS3 Media Queries and Responsive Design •  JQuery, Fancybox, APIs, and More •  10 Hands-On Projects, Including Games and Apps Use HTML5 and JavaScript to Create a Variety of Projects Not all sites and apps use HTML5 yet, but the ones that do are advanced and cutting edge, and this is the way of the future in web design and app development. Using HTML5, CSS3, JavaScript, and other tools

Statistics with R - Beginner Level

Statistics with R - Beginner Level What you'll learn manipulate data in R (filter and sort data sets, recode and compute variables) compute statistical indicators (mean, median, mode etc.) determine skewness and kurtosis get statistical indicators by subgroups of the population build frequency tables build cross-tables create histograms and cumulative frequency charts build column charts, mean plot charts and scatterplot charts build boxplot diagrams check the normality assumption for a data series detect the outliers in a data series perform univariate analyses (one-sample t test, binomial test, chi-square test for goodness-of-fit) Requirements R and R studio knowledge of basic statistics Description If you want to learn how to perform the basic statistical analyses in the R program, you have come to the right place. Now you don’t have to scour the web endlessly in order to find how to compute the statistical indicators in R, how to build a cross-table, how to build a

R Programming For Absolute Beginners

Requirements No special prerequisite - you should only know how to use a computer Description If you have decided to learn R as your data science programming language, you have made an excellent decision!    R is the most widely used tool for statistical programming. It is powerful, versatile and easy to use. It is the first choice for thousands of data analysts working in both companies and academia. This course will help you master the basics of R in a short time, as a first step to become a skilled R data scientist.   The course is meant for absolute beginners, so you don’t have to know anything about R before starting. (You don’t even have to have the R program on your computer; I will show you how to install it.) But after graduating this course you will have the most important R programming skills – and you will be able to further develop these skills, by practicing, starting from what you will have learned in the course.    This course contains about 100 video lectur