Basics of Plotly for Data Analysis & Data Science

Plotly is a powerful data visualization library in Python that allows users to create interactive plots and dashboards. Understanding how to use Plotly is essential for data analysts and data scientists as it provides a wide range of tools for visualizing data effectively.

This tutorial is designed for beginners who want to learn how to utilize Plotly for their data analysis and visualization tasks. Whether you are working on exploratory data analysis or building interactive dashboards, Plotly can help you present your findings in a clear and engaging manner.

Throughout this course, you will explore the basics of Plotly, including creating various types of plots such as line charts, scatter plots, bar charts, and more. You will also learn how to customize your plots, add annotations, and create interactive visualizations that can be shared and viewed online.

By the end of this tutorial, you will have a solid understanding of how to leverage Plotly to enhance your data analysis projects. Whether you are working on a personal project, academic research, or professional data science tasks, mastering the basics of Plotly will help you communicate your insights effectively.