Get hands-on with R
Programming Language in our easy to learn Projects in R Programming
Programming language is not the easiest language to learn and work
with, along with data mining and analysis. Weâ€™ve seen a lot of
people complain that while they could find resources for
understanding the theory behind using R programming language and
environment, actual project based courses where you get your hands
dirty with R, is not available.
is why we designed this course that allows learners to actually learn
R programming using a hands-on approach by building projects along
with the instructor. The course will breakdown how to actually start
working with R Programming Language and environment in an easy and
structured way that will help you not only understand this
statistical language, but also become more familiar with how you can
go about using it.
a programming language and environment for statistical computing and
graphics. It allows developers to work with a range of statistical
and graphical techniques including linear and nonlinear modeling,
classical statistical tests, time-series analysis, classification,
project based course is a great way for you to understand and learn
the fundamentals of R Programming Language. There are five major
aspects that will be targeted in this course:
1. Practical approach
to the R Programming â€“ If you
already have some background in R programming, or even have the
knowledge, then this will help you gain a practical approach to R
2. Learn Different
Forms of Data Visualization â€“ Visualizations
of data has become a popular trend, as it makes the data more
prominent and easier to understand. These include different types of
visualizations such as bar graph, charts, heat map, etc.
3. Learn efficient ways
to visualize data â€“ Data
should be efficient, especially if you are working with partial data.
If the data is not efficient, the analysis would not be faulty and
can be misunderstood.
4. Learn ways to
manipulate data â€“ Data isnâ€™t
always constant and it is often used to analyze past data and make
future predictions. For this data is required to be manipulated to
create predictions for multiple scenarios.
5. Learn to generate
reports using R â€“ Now we come
to the most important stage of data mining and analysis. Here you
will learn to generate effective reports that will help you put out a
clean set of data analysis for consumption.
what are you waiting for? Learn R Programming in an easy and simple
to learn course when you click the Enroll Now button!