Data Visualization Bootcamp in Python
Learn to Create Static and Interactive Visualizations Data For Practical Data Science Applications in Python.
Segment - 01 - Course Introduction
Segment - 02 - Anaconda
Segment - 03 - Get Started With the Python Data Science Environment: Anaconda
Segment - 04 - Anaconda for Mac Users
Segment - 05 - The iPython Environment
Segment - 06 - What are Pandas?
Segment - 07 - Read CSV Data
Segment - 08 - Read Excel Data
Segment - 09 - Read in HTML Data
Segment - 10 - Basic Data Exploration With Pandas
Segment - 11 - Basic Data Handling With Conditional Statements
Segment - 12 - Drop Column/Row
Segment - 13 - Merging and Joining Data
Segment - 14 - What is Data Visualization?
Segment - 15 - Some Theoretical Principles Behind Data Visualization
Segment - 16 - Histograms-Visualize the Distribution of Continuous Numerical Variables
Segment - 17 - Boxplots-Visualize the Distribution of Continuous Numerical Variables
Segment - 18 - Scatter plot-Relationship Between Two Numerical Variables
Segment - 19 - Barplot
Segment - 20 - Pie Chart
Segment - 21 - Line Charts
Segment - 22 - The Rationale Behind the Grammar of Graphics
Segment - 23 - Getting Started - Part 1
Segment - 24 - Getting Started - Part 2
Segment - 26 - Basic Spatial Concepts
Segment - 27 - Visualize Shapefiles With Python
Segment - 28 - More Shapefile Visualizations with Geopandas
Segment - 29 - Some In-Built GIS Datasets
Segment - 30 - Introduction to Choropleth Mapping
Segment - 31 - Choropleth Mapping - Part 2