Python Data Visualization & Interactive Dashboards Online (Self-Paced)

In this course, you will learn how to gather, manipulate, and analyze real-life data through hands-on projects. The class will start with the Python libraries NumPy and Pandas and then move to plotting solutions, with an emphasis on data visualization. Besides traditional plotting tools like Matplotlib and Seaborn, you will learn how to use Plotly and Dash Enterprise, a powerful tool for building dynamic dashboards.

Throughout this course, you'll gain practice by working on real-life projects that you can deploy online using the Heroku server and GitHub. An analytical project on GitHub demonstrates knowledge of data science techniques and can fulfill requirements for future employment. Potential employers will want to see your approaches to coding and analyzing data.

Each day of this course is divided into two parts. In the first part of the lesson, you will learn new concepts. Then you will apply the same concepts working on a project with a topic of your choice (such as your professional field or another area of interest). The instructor will help you find an appropriate dataset, explain best practices, and assist with coding.