Exploratory Data Analysis with Seaborn

Visualizations are an essential first step to analyze and explore real-world data. Visualization is an essential tool in every data scientist's arsenal. Visualization is a powerful tool for identifying problems in analyses and illustrating results. In this project-based course we will use Seaborn statistical data visualization library to explore and discover the relationships within the Breast Cancer Wisconsin (Diagnostic). Data Set. The course will focus on exploratory data analysis (EDA). We will use visualizations to find and interpret the inherent relationships within the data set. Coursera's Rhyme project platform allows you to do this course hands-on. Rhyme allows you to work in a browser-based manner on projects. Instant access to pre-configured cloud desks that contain all the data and software you need for your project will be available. Everything is pre-configured so that you can focus on your learning. You'll have instant access to the cloud desktop that includes Python, Jupyter and scikit-learn. Notes: You can access the cloud desktop five times. You will still be able access the instructions videos as many times you wish. This course is best for those who live in North America. The same experience is being offered in other areas.