Insight of the learning of Programming R Training program
R is a language used for statistical computing and graphics. It provides a wide assortment of statistical and graphical methods and is highly extensible. Programming R Training program is intended to help you learn the concepts of R programming and its implementation. The training program provides hands-on learning session along with practical approach, which outlines R as a useful programming tool for catering data science problems. With this training program, students will learn to load data, assemble and disassemble data objects, write functions and make use of R programming tools. During the training program, you will:
- Learn the concept of R and functioning of R-Calculator
- Learn how to assign value to variables and factor levels
- Understand Business Intelligence and Business Analytics
- Explore Recommendation Systems like Association Rule Mining, user-based collaborative filtering and Item-based collaborative clarifying among others
- Implement several supervised machine learning techniques
- Learn to create plots, Pie charts and vectors
- Understand functions like Stack, Merge and Strsplit
- Learn the use of algorithms – Decision Trees, Support Vector Machines, Logistic Regression, and Ensemble Techniques, etc.
- Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights
- Use several packages in R to create fancy plots
- Deploy R programming for Hadoop applications
The best thing about R programming is that it is user run software, due to which anyone can provide code enhancements and new packages. The quality of great packages on the R community environment is testament to this approach to developing certain software by sharing and encouraging inputs. Programming R Training in Noida is ideal for individuals who are interested to work in analytics industry and are looking to improve their technical skills with exposure to ultra modern practices. This is a great program for all those who are determined to become ‘Data Analysts’ in near future.
