Plotly Python
Enroll in this free course to learn working with a powerful tool, Plotly. This Python library toolkit is a category-defining leader in using data apps to enable data-driven decisions to enhance your presentation skills.
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About this course
Plotly Python is a data visualization library that allows users to create interactive and high-quality visualizations in Python. It is built on top of the popular plotting library, matplotlib and offers additional functionality for creating interactive plots and dashboards.
With Plotly Python, users can create a wide range of visualization types, including scatter plots, line charts, bar charts, heat maps, and more. The library offers a rich set of customization options, allowing users to customize almost every aspect of their visualizations, including colors, labels, axes, and annotations.
One of the key features of Plotly Python is its interactivity. Users can create visualizations allowing viewers to interact with the data, such as zooming in on certain plot areas, hovering over data points to display additional information, and more.
Plotly Python can be used in various applications, including data exploration, analysis, and reporting. It is particularly useful for data scientists and analysts who need to create clear and compelling visualizations to communicate their findings to others.
The library is easy to use and highly customizable, with a wide range of features and options that allow you to create visualizations that are tailored to your specific needs. Plotly Python integrates well with other popular data analysis and visualization tools, such as Pandas, NumPy, and Jupyter Notebook, making it an essential tool for anyone working in data science or analytics.
Great Learning's free online course on Plotly Python is an excellent opportunity for anyone looking to learn how to create stunning and interactive visualizations using Plotly Python. With this course, users can master the fundamentals of Plotly Python and learn how to create a wide range of charts and graphs, including scatter plots, line charts, bar charts, and more. The course covers everything from the basics of data visualization to advanced topics like customizing visualizations and creating dashboards. By the end of this course, users will have the skills and knowledge needed to create compelling visualizations that help them better understand their data and communicate their findings to others.
Extend your learning through AI and Machine Learning courses and build a promising career in the field.
Course Outline
After understanding the basics of Pandas Dataframe, you will learn to work with it through a sample demonstration in this section.
This section briefly explains Plotly.
This section delivers a step-by-step demonstration to install Plotly.
This section demonstrates a code snippet to plot inline using Jupyter Notebook.
This section brings to your knowledge the various packages that Plotly offers to work with ML tasks like plotly.tools, plotly.plotly, plotly.graphs_objs with demonstrated code snippets.
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64% of learners found all the desired skills & tools
Frequently Asked Questions
What are the prerequisites required to learn the Plotly course?
A basic understanding of running codes in Python as a coding platform can help.
How long does it take to complete this free Plotly course?
It takes about an hour to complete this course.
What is Plotly used for?
Plotly is an interactive graph designing library from Python and can assist you in showcasing your data in an eye-catchy picture format, which would be easier for data analysis.
Will I get a certificate after completing this Plotly course?
Yes, you will get a certificate of completion after finishing this course.
What knowledge and skills will I gain upon completing this Plotly course?
By the end of this course, you will have a basic understanding of Plotly, Cufflinks, Seaborn, and Matplotlib concepts. You would also be able to understand where can plotly get more potent than Pandas. You will gain a few skills like:
- Using Jupyter Notebook (if you use any other ideas like VSCode or Pycharm or any other)
- Use of libraries like Matplotlib, Pandas, Seaborn, Cufflinks, and many more
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Plotly Python is a Python library that provides a high-level API for creating interactive visualizations in web browsers. It is an open-source visualization library that offers a wide range of charts, plots, and graphs such as line charts, scatter plots, bar charts, heatmaps, and more.
Plotly Python is widely used in data science, machine learning, and scientific computing to create visualizations that help in understanding complex data. Some of the real-time examples where Plotly Python can be used include:
Financial analysis: Plotly Python can be used to create interactive charts and graphs for analyzing stock prices, commodity prices, and other financial data.
Data analysis: Plotly Python can be used to create interactive dashboards for data analysis and visualization, making it easier to explore data and discover insights.
Geospatial analysis: Plotly Python can be used to create interactive maps that display data related to specific geographic locations.
Scientific visualization: Plotly Python can be used to create visualizations of scientific data such as climate data, astronomy data, and more.
By learning a free online course on Plotly Python, you can gain the following benefits:
- Develop skills in creating interactive data visualizations that can help you understand complex data.
- Gain hands-on experience in using Plotly Python for data analysis and visualization.
- Enhance your resume and job prospects in the data science and machine learning industry.
- Improve your understanding of Python programming language and data science concepts.
Overall, learning Plotly Python is a valuable skill for anyone interested in data science, machine learning, and scientific computing.