Exploratory Data Analysis with Seaborn

Exploratory Data Analysis with Seaborn by Coursera Project Network

What I learned:

  • Identify and interpret inherent quantitative relationships in datasets
  • Produce and customize various chart types with Seaborn in Python
  • Apply graphical techniques in exploratory data analysis (EDA)

Skills:

  • Data Science
  • Machine Learning
  • Python Programming
  • Data Analysis
  • Data Visualization (DataViz)