Learning skills related to data cleaning, transformation, and manipulation will be highly beneficial. Familiarize yourself with R syntax, basic data structures, data manipulation, functions, and control structures.ĭata manipulation and analysis: R Studio is commonly used for data analysis and manipulation tasks.

Therefore, having a solid understanding of R programming is essential. R programming language: R Studio is built specifically for the R programming language. To make the most out of R Studio, you should consider learning the following skills: Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Statistical Analysis, Computer Programming, Exploratory Data Analysis, General Statistics, Problem Solving, Data Analysis Software, Probability & Statistics, Computer Programming Tools, Critical Thinking, Programming Principles, Data Management, Statistical Tests, Data Structures, Statistical Machine Learning, Basic Descriptive Statistics, Algorithms, Data Model, Data Visualization, Human Learning, Machine Learning, Machine Learning Algorithms, Process Analysis, Big Data, Computational Thinking, Correlation And Dependence, Data Visualization Software, Extract, Transform, Load, Mathematics, Plot (Graphics), Regression, Interactive Data Visualization, Applied Machine Learning, Databases, Estimation, Probability Distribution, Computer Graphics, Machine Learning Software, Communication, Computer Graphic Techniques, Knitr, Natural Language Processing, Visualization (Computer Graphics), Product Development, Web Development

Basics of rstudio