Learning Course is designed to support learners. When you make a purchase through one of our links, we may receive an affiliate commission.

Data Visualization using Python and R

Overview

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.

1. Matplotlib Introduction

2. PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot

3. Multiple Plots in a Graph

4. Seaborn Plotting Functions

5. Plotting with Categorical Data

6. Multi-Plot Grids

7. Plot Aesthetics

8. Data Visualization using R, Pie Charts, 3D Pie Charts & Bar Charts

9. Box Plots

10. Histograms & Line Graphs

11. Scatter Plots & Scatterplot Matrices

12. Low Level Plotting