Datu analīze ar R(English)(1),21/22-P
Data has always been around us. Nowadays it becomes more and more accessible in a digital format. It contains valuable information that we may extract from it and use for the benefit of us, those around us, businesses, non-profit organizations, and governments.
Not using the advantages of data analysis in business means leaving profitable opportunities to the competitors. At the same time, when the amount of data exceeds a normal spreadsheet size in terms of rows, columns, or both, it becomes increasingly difficult to make sense of data. Not knowing how to operate with large amounts of data as simply as with small tables, paralyzes the analysis.
In this course, students learn a structured and practical approach to data analysis using R, a programming language for statistical computing, and RStudio.
Not using the advantages of data analysis in business means leaving profitable opportunities to the competitors. At the same time, when the amount of data exceeds a normal spreadsheet size in terms of rows, columns, or both, it becomes increasingly difficult to make sense of data. Not knowing how to operate with large amounts of data as simply as with small tables, paralyzes the analysis.
In this course, students learn a structured and practical approach to data analysis using R, a programming language for statistical computing, and RStudio.