Why is data visualization important?
Producing visualizations is an important first step in exploring and analyzing real-world data sets. Data visualization is a key component of any data scientist's toolbox. It is also a powerful way to identify problems in analyses and illustrate results.
Are Plotly and Seaborn the right tools for me?
Many tools are needed to accomplish the variety of visualizations you can create using Python. Seaborn and Plotly focus on data exploration through rapid iteration. They support a wide range of visualizations including financial, statistical, geographic use-cases and even advanced three-dimensional use-cases. Both Seaborn and Plotly integrate with Jupyter widgets, making it possible to display plots in Jupyter notebooks and update them in-place after they are created. They have really rich documentation to integrate with Jupyter Notebooks and JupyterLab -- one of the most widely used tools by the data science and machine learning community.
What is a Guided Project?
A Guided Project helps you learn a job-relevant skill in under 2 hours through an interactive experience with step-by-step instructions from a subject matter expert. Everything you need to complete a Guided Project is available right in your browser. No software or prior experience is required to get started.