R Training
Level
BeginnerDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedR Training
R is both a programming language, a computing environment, and a graphical environment. Learn how to use it effectively when working with data. Discover the process of creating reports, advanced statistical techniques, and intuitive ways of data visualization. R is simple and user-friendly, which is why it is successfully used by people in various roles, not just programmers.
What You Will Learn
- Gain basic knowledge of R as a programming language and computing/graphical environment, ideal for efficient data work, reporting, advanced statistical analysis, and visualization
- Learn to use R packages, understand data types, vectors, operators, built-in functions, lists, matrices, and data frames
- Master programming basics in R, including creating functions, conditional statements, and loops
- Explore data analysis techniques in R, including descriptive statistics, hypothesis testing, ANOVA, correlation, and time series analysis
- Develop skills in regression analysis and advanced time series analysis to perform comprehensive data studies in various contexts
Who is this training for?
Statisticians, analysts, and anyone involved in data analytics-
Those starting their career in business intelligence, data science, bioinformatics, or biostatistics
Training Program
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Module 1: R Statistical Package – Fundamentals
- Introduction to R from basics
- Packages and package management
- Data types
- Vectors
- Operators
- Built-in functions
- Lists and matrices
- Data frames
- Defining and using functions
- Conditional statements
- Loops
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Module 2: Data Analysis with R
- Basics of descriptive statistics
- Statistical hypothesis testing
- Analysis of variance (ANOVA)
- Correlation analysis
- Time series analysis
- Regression analysis
- Advanced time series analysis
