A great digital skill can be helpful in many fields, Learn R Statistical Programming Language 20

Statistical computing and graphics is one of the most referred digital skill you could equip yourself with at this time. Lucy therefore consider R statistical programming language 20 as one of the most useful languages to learn in this dispensation, thus she created a course on this for everyone based on her level of expertise, experience and authority. This is a free software environment for statistical computing and graphics which compiles and runs on a wide variety of UNIX platforms including Windows and MAC operating systems. All you have to do is to pick your preferred Comprehensive R Archive Network (CRAN). This application has been said to be a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S.

Uses of R Statistical Programming Language

This programming language has been said to reform professional approaches to statistics in a way or more. Nevertheless, the basic use of the application remained entrenched around use among statisticians and data miners for developing statistical software and data analysis.  According to many e-[earning companies in the world, R statistical programming language 20 has turned into the most prevalent language for data science and a fundamental tool for Finance and analytics-driven organizations, for example, Google, Facebook, and LinkedIn. R is a language and environment for statistical computing and design. The application is said to have gained prominence due to its flexibility as an efficient language that builds a bridge between software development and data analysis. This language is good for statisticians who are looking to innovate and add special skillsets to their professionalism. It can be useful for a lot of professionals who deal with data and numbers regularly.

Why Take Lucy’s Course on R Statistical Programming Language

Lucy’s Course on R Statistical Programming Language is not only based on expertise and theoretical professionalism. Rather, she develop the learning guide in such ways that she easily passed down her personal experiences to students alongside significant theoretical learning aspects. Her course therefore simply;

• Introduce tools and workflows for reproducible research (R/RStudio, Git/GitHub, etc.);
• Introduce principles of tidy data and tools for data wrangling;
• Exploit data structures to appropriately manage data, computer memory and computations;
• Teach data manipulation through controls, instructions, and tailored functions;
• Develop new software tools including functions, Shiny applications, and packages;
• Manage the software development process including version control, documentation (with embedded code), and dissemination for other users.

About Lucy

Lucy is an experienced Statistician with two decades experience analyzing and interpreting complex data. She took the chance improve her digital skill in the profession over a decade ago and this has paid off graciously. Lucy worked with various research experts where she has been able to demonstrate her knowledge in using statistical tools and methodologies, especially in adept adaptation to conducting sampling and validation. She is also knowledgeable in Good Clinical Practices with broad understanding of statistical concepts, methods and models. This helped her to master the R statistical programming language quickly to a very impressive height. She has since developed other professionals via her specially packaged courses including this particular one.  She is a recognized expert in using computer applications, and she has been awarded many times in this field, specifically in the areas of exploiting data structures to appropriately manage data, computer memory and other forms of statistical computations.