Aklson, a data scientist at IBM, and I'm your instructor for this course.
will start learning how to use Matplotlib to create plots and visuals, and we will start off with line plots.
pandas is a python library for data manipulation and analysis.
into what is called a pandas dataframe like the one shown here.
so make sure to complete the next course in this specialization.
and learn how to use Matplotlib to create them and even create different versions of these plots.
and we will learn how to create them still using Matplotlib.
that provide a fine-grained view of the proportions of different categories in a dataset.
that depict word frequency or importance in a body of text.
and we will get a taste of its effectiveness through the creation of regression plots.
which was built primarily to visualize geospatial data.
superimpose markers of different shapes on top of maps, and learn how to create choropleth maps.
Before I conclude this video, let me stress one thing.
Data visualization is best learned through hands-on exercises and sessions.
Therefore, don’t worry if you find some of the videos to be short.
although they are ungraded components of the course.
I hope that you remember this and keep it in mind as you progress in this course.
to create expressive visual representations of your data for different purposes.
Sp, let’s get right into it.