Course Overview:
R training lets you learn R programming language that is deployed for varied purposes like graphic representation, statistical analysis, and reporting. With this online R Programming for Data Science training, you will be able to get a clear understanding of the core concepts like importing data in various formats for statistical computing, data manipulation, Business Analytics, Machine Learning algorithms, and data visualization. You will learn various functions, data structures, variables, and flow of control. You will also understand how to go about doing R integration with Hadoop through practical R exercises.
Course Objectives:
- Data Science concepts of R and functioning of R Calculator
- Various functions like Stack, Merge and Strsplit
- Creating pie charts, plots, and vectors
- Assigning a value to variables and generating repeat and factor levels
- Performing sorting, analyze variance and the cluster
- ODBC tables reading and linear and logistic regression
- Database connectivity
Target Audience:
- Software Engineers and Data Analysts
- Business Intelligence Professionals
- SAS Developers wanting to learn the open-source technology
- Those aspiring for a career in Data Science
Course Duration:
- 5 Days
Course Content:
- Introduction to R
- R Packages
- Sorting DataFrame
- Matrices and Vectors
- Reading Data from External Files
- Generating Plots
- Analysis of Variance (ANOVA)
- K-Means Clustering
- Association Rule Mining
- Regression in R
- Analyzing Relationship with Regression
- Advanced Regression
- Logistic Regression
- Advanced Logistic Regression
- Receiver Operating Characteristic (ROC)
- Kolmogorov–Smirnov Chart
- Database Connectivity with R
- Integrating R with Hadoop
- R Case Studies
