Data Visualization using Python and R

If you want to work in exciting analytics and data visualization project, then this is the starting point for you.
Data is the currency of now and potential to use it the right way, at the right time for the right reason gives you possibility beyond imagination.
Data visualization is a vast topic and consist of many sub-parts which are a subject in itself, we in our course have tried to paint a clear picture of what you need to know and what people will be looking of you in a visualization project.
UX in Data visualization is key in modern times to meet the expectation of your user, this course will highlight what are the benefits of using a good UX and how to do it.
This course is structured to provide all the key aspect of Data visualization in most simple and clear fashion.So you can start the journey in Data visualization world.
 Matplotlib Introduction
PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot
Multiple Plots in a Graph
Seaborn Plotting Functions
Plotting with Categorical Data
Multi-Plot Grids
Plot Aesthetics
Data Visualization using R, Pie Charts, 3D Pie Charts & Bar Charts
Box Plots
Histograms & Line Graphs
ScatterPlots & Scatterplot Matrices
Low Level Plotting
Bar Plot & Density Plot
Combining Plots
Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot
MatPlot, ECDF & BoxPlot with IRIS Dataset
Additional Box Plot Style Parameters
What is Data Science
What is Machine Learning
Data Visualization using Pandas