About the Course
R is a programming language and free software environment for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. This course covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R. R is every statistician’s first programming choice for data analysis, its user-friendliness, flexibility and robustness have made it very popular for data analysis. It is also great for data visualization. The programs written in R will help you tell stories with your data and turn numbers into useful information.
Salvatech brings you a comprehensive beginner’s course on Data Science with R Foundation to advance that will allow you to master R and use its inbuilt functions and libraries for creating applications and programs for data science. With a perfect blend of theory and practical sessions, you will be able to master the language and ensure that you are competitive and skilled enough to fulfil the growing demand for data scientists. Our industry scale project will also give the hands-on skills needed to understand the real world demands of R in data analysis.
Data Science with R certification is really in high demand and getting certified proves that you are up to date on the advanced concepts that are required for your project.
What will you Learn
- Basics of R including functions, vectors, variables and core principles of programming
- Create R programs that will help discover and interpret relationships in complex information and solve real world problems
- To create R visualizations that will help analyze and handle large data sets
Course Fee: N50,000
Duration: 4 weeks
Delivery Mode – Live, Instructor Led Online
Contact us for Group or Team Registration
Course Outline
● Intro to R
● Installing R and R Studio
● Basic syntax in R
● Comments in R
● Data types in R
● Operators in R
● Decision making/branching in R
● Strings in R
● Lists
● Matrices
● Factors in R
● Data Frame in R
● Editing data directly in R
● Data Reshaping
● Math function in R
● Regression analysis in R
● Basic charts and visualization in R