Course Description
About The Course
R has half of the market share in terms of analytical tools according to KD Nuggets.
R is open source which makes it the first choice for students, universities & researchers. With over 2 million users worldwide, the enhancements & updates to the product outsmart the pace at which the business world is upgrading. Other statistical tools can perform a lot of statistical analysis, however, R can perform ALL the statistical analysis which can be done by all other statistical tools put together. All this comes for free as there is no license cost for R.
A lot of technology giants including Oracle, SAS, Teradata have embraced R by incorporating integration with R and having enterprise versions of R to stay relevant in the market. R tool is not a threat for the other statistical tools but a pioneer which paves way for the other tools. There are a lot of graphical user interfaces for base R which also come for free. This adds to the already giant hold which R has on the analytical world.
The R training course offered by ExcelR has depth & breadth of the programming as well as statistical knowledge. R program which spans for 20+ hours will ensure that you are market ready & have an additional edge over others who are already into statistical analysis using R. The course starts with the assumption that participants/aspirants/students are naive to programming & statistics. Hence there is no prerequisite to join this program. The only requirement is the passion to excel in the career which promises to be extremely rewarding both in terms of monetary and personal satisfaction of working in the most lucrative profession.
Who Should do The Course
- Anyone who wants to be a data scientist & a few of such roles includes
- Statisticians
- Mathematicians
- Economists
- Professionals already working in data analytics
- Professionals pursuing to work in data analytics
- Data warehouse & Business Intelligence professionals
- Data visualization professionals
- Software developers (Java, .Net, C, C++, etc.)
- Process consultants
- Six Sigma consultants
- Fresh graduates aspiring to work in a corporate world
Course Curriculum
- Installation Guide for Windows
- Installation Guide for Mac
- Installation Guide for Ubuntu
- Introduction to R Programming
- Essentials of R Language
- Data Inputs
- Data Frames
- Graphics
- Tables
- Mathematics
- Classical Tests
- Statistical Modelling
- Regression
- Analysis of Variance
- Analysis of Covariance
- Generalized Linear Models
- Count Data in Tables
- Proportion Data
- Binary Response Variables
- Generalized Additive Models
- Mixed-Effects Models
- Non-Linear Regression
- Meta-Analysis
- Bayesian Statistics
- Tree Models
- Time Series Analysis
- Multivariate Statistics
- Spatial Statistics
- Survival Analysis
- Simulation Models
- Changing the Look of Graphics
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