Data Visualization with R and ggplot2

Today we live in a world where tons of data is generated every second. We need to
analyze data
to get some
useful insight
. One of the strongest weapons for data insight is
data visualization
. Probably you have heard this one before: "
A picture tells more than a thousand words combined
". Therefore to tell stories from the data we need tools for producing adequate and amazing graphics.  Here
R
as one of the most rapidly growing tools in the fields of
data science
and
statistics
provides needed assistance. If you combine
R
with its library
ggplot2 
you get one of the
deadliest tools
for
data visualization
, which
grows every day
and is
freely accessible
to
anyone
.
This course is designed to first give you quick and proper
theoretical foundations
for creating
statistical plots
. Then you dive into the world of
exploratory data analysis
where you are confronted with
different datasets
and
creating
a
wide variety
of
statistical plots
.
If you take this course, you will learn a ton of new things.  Here are just a few
topics
you will be engaged with:
The grammar of graphics
(the idea behind statistical plots, the foundation of ggplot2)
Data transformation
with
dplyr
and
tidyr
(crash course included)
Exploratory data analysis
(
EDA
) (statistical plots for exploring one continuous or one discrete variable)
EDA
for exploring
two
or
more variables
(different statistical plots)
Combine
ggplot2
with
RMarkdown
to wrap up your analysis and produce
HTML reports
Create some
additional types
of
plots
by

combining ggplot2 and supplementary libraries (
word cloud
,
parallel coordinates plot
,
heat map
,
radar plot
, ...)
Draw
maps
to show the
spread
of
coronavirus disease
Customize the plot's
theme
Create
subplots
using
cowplot
library
Highlight data
on your plot with
gghighlight
library
and much more...
Course includes:
over
20 hours
of
lecture videos
,
R scripts
and
additional data
(provided in the course material),
engagement with
assignments
, where you have to test your skills,
assignments walkthrough videos
(where you can check your results).
All being said this makes one of
Udemy's most comprehensive courses
for
data visualization
using
R
and
ggplot2
.
Enroll today and become the master of data visualization!!!
Who this course is for:
Anyone who is interested in data analysis or data visualization
Aspiring data scientists, statisticians or data (business) analysts
Anyone who would like to impress his/her boss or coworkers with amazing data visualizations
Anyone whose job, research or hobby is related to visualizing data
Anyone whose work is related with data presentation or extracting insights from the data
Students working with data