R is an open source programming language and software environment for statistical computing and graphics. R language is widely used among statisticians and data miners for developing statistical software and data analysis. R is open source and allows integration with other applications and systems. Compared to other data analysis platforms, R has an extensive set of data products. Problems faced with data like optimization and analyzation are cleared with R’s excellent data visualization feature. If you're interested to work effectively with data and solve real-world data problems using the most popular R packages and techniques, then go for this Learning Path.
Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.
The highlights of this Learning Path are:
Let’s take a quick look at your learning journey. This Learning Path will take you on a journey to become an efficient data science practitioner as you will thoroughly understand the key concepts of R. Starting from the absolute basics, you will quickly be introduced to programming in R. You will learn how to load data into R for analysis, and get a good understanding of how to write R scripts. You will also get to know how to perform basic analysis of the data.
Further, this Learning Path deals with how to create R functions to avoid the unnecessary duplication of code. You will learn how to prepare, process, and perform sophisticated ETL for heterogeneous data sources with R packages. You will be provided with an example of data manipulation illustrating how to use the ‘dplyr’ and ‘data.table’ packages to efficiently process larger data structures. This Learning Path also offers an insight into time series analysis, while there is detailed information on the hot topic of machine learning, including data classification, regression, clustering, association rule mining, and dimension reduction. This Learning Path will also throw light on how functional programming and meta-programming with R can simplify and speed up your data analysis code.
By the end of this Learning Path, you will understand how to resolve issues and comfortably offer solutions to problems encountered while performing data analysis and produce high-quality statistical graphics to increase your efficiency in data analysis code.
Meet Your Expert:
We have combined the best works of the following esteemed author to ensure that your learning journey is smooth: