R is one of the most comprehensible statistical tool for managing and manipulating data. With the ever increasing number of data, there is a very high demand of professionals who have got skills to analyze these data. If you’re looking forward to becoming an expert data analyst, 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 begins with familiarizing you with the programming and statistics aspects of R. You will learn how CRAN works and why to use it. Acquire the ability to conduct data analysis in practical contexts with R, using core language packages and tools. You will then generate various plots in R using the basic R plotting techniques. Learn how to make plots, charts, and maps in step–by–step manner. Utilize R packages to add context and meaning to your data.
Moving ahead, the Learning Path will gradually take you through creating interactive maps using the googleVis package. Finally, you will generate chloropleth maps and contouring maps, bubble plots, and pie charts.
Instructor Details
Courses : 212
Specification: Learning Path: R: Master R Data Analysis and Visualization
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5 reviews for Learning Path: R: Master R Data Analysis and Visualization
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Price | $11.99 |
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Provider | |
Duration | 11.5 hours |
Year | 2018 |
Level | Intermediate |
Language | English |
Certificate | Yes |
Quizzes | Yes |
$59.99 $11.99
Timothy Leisman –
So far, I’m enjoying but am not overly impressed with the course. The material is helpful and covers some important concepts, but the lectures have a different numbering sequence in the learning path than how the teacher refers to them and the exercise files are also out of order.
Ohad BarSimanTov –
Need an assignment to code and used the data
Aaron Vandegriff –
amazing. lots of info
Neda –
It is really poor. he does not explain properly the codes.
Ariel Sell s Gras –
Me est mostrando una amplia variedad de recursos disponibles en diferentes librer as de R.