Static and Interactive Data Visualizations in Python

Learn to Create Static and Interactive Visualizations Data For Practical Data Science Applications in Python

Created by: Minerva Singh
Bestselling Instructor & Data Scientist(Cambridge Uni)

What Will I Learn?

• Install and Get Started With the Python Data Science Environment- Jupyter/iPython
• Read In Data Into The Jupyter/iPython Environment From Different Sources
• Learn to IDENTIFY Which Visualisations Should be Used in ANY given Situation
• Go From A Basic Level To Performing Some Of The MOST COMMON Data Visualization Tasks In Jupyter
• How To Use Some Of The MOST IMPORTANT Data Wrangling & Visualisation Packages Such As Matplotlib
• Build POWERFUL Visualisations and Graphs from REAL DATA
• Apply Data Visualization Concepts For PRACTICAL Data Analysis & Interpretation
• Gain PROFICIENCY In Data Visualisation In Jupyter By Putting Your Soon-To-Be-Acquired Knowledge Into IMMEDIATE Application
• Build Geographic and Interactive Visualizations

Requirements

• The Ability To Install the Anaconda Environment On Your Computer/Laptop
• Know how to install and load packages in Anaconda
• Interest in Learning to Process and Visualise Real Data
• Interest in Interactive Visualisations

Target audience

• Students Interested In Getting Started With Data Science Applications In The Jupyter Environment
• Students Interested in Gaining Exposure to Common Python Packages Such As pandas
• Those Interested in Learning About Different Kinds of Data Visualisations
• Those Interested in Learning to Create Publication Quality Visualisations
• Those Interested in Learning to Create Interactive Visualisations