Pandas Playbook: Visualization from Pluralsight

Pandas is one of the most popular data analysis libraries for Python. In this course, you will learn how to create a wide range of plots for your data, and how to customize them to make them both attractive and informative for your audience.

At some point when you are working with a dataset, you will want to make the properties of that dataset visible in a graphical way. This is a core skill for every data scientist or data engineer. In this course, Pandas Playbook: Visualization, you’ll learn how to create a large variety of beautiful plots with Pandas, one of the most popular data analysis libraries for Python. First, you'll learn the very basics of plotting with pandas, learning how to prepare your dataset for plotting, and how to create common plots like a bar, line, and scatter plot. Next, you will explore matplotlib, the Python library that generates the actual graphics, how this interacts with Pandas, and how to use it correctly. Then, you will go more in-depth and learn about all the ways to customize your plots, including line styles, colors and themes, customizing axes and legends, creating interactive plots, and much more. Finally, you will see a short overview of two other visualization libraries that can be used with Pandas: Seaborn, which is focused on statistical plotting, and Bokeh, which can create interactive visuals for the web. After watching this course, you’ll have a deep understanding of all possible ways you can use Pandas to visualize your data. You'll know how to write efficient and clear code that creates beautiful plots, following best practices. This course will also make you more proficient in exploring datasets and communicating your results with others.

What's inside

Syllabus

Course Overview

Course Introduction

Making Simple Plots

Navigating the API Jungle: Matplotlib, Pandas, and the Jupyter Notebook

Creating Advanced Plots with Pandas

Visualizing Statistical Properties with Seaborn

Creating Interactive Plots for the Web with Bokeh

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches creation of a range of plots for data analysis, which is an indispensable skill for data scientists and engineers

Covers customization of plots, empowering learners to make presentations both visually appealing and informative

Provides an overview of additional visualization libraries, expanding possibilities for data visualization

Emphasizes best practices in coding for efficient and clear visualization

Taught by Reindert-Jan Ekker, a recognized expert in data visualization

Requires proficiency in Python, which may present a barrier to complete beginners

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Pandas Playbook: Visualization with these activities:

Review basic data manipulation with Pandas

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Review fundamentals of Pandas for data manipulation to help you have a solid foundation of the library and excel in the course.

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Revisit Pandas documentation
Complete beginner tutorials on Pandas

Review statistics

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Refresh your knowledge of statistics to better understand data analysis

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Review basic probability and statistics concepts
Practice solving statistical problems

Attend a Pandas meetup or conference

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Attending a Pandas meetup or conference allows you to connect with other Pandas users and learn from experts in the field.

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Find an event in your area or online
Register for the event
Attend the event and participate in discussions

Nine other activities

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Practice data visualization techniques

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Practice creating different types of data visualizations to improve your skills

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Choose a dataset and explore it
Create a variety of plots using different Pandas functions and Matplotlib options
Analyze the results and make inferences

Explore advanced Pandas features

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Enhance your Pandas skills by exploring advanced features and techniques

Browse courses on Pandas

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Find and follow online tutorials on advanced Pandas features
Experiment with the features in your own code
Discuss your findings with others

Create a Pandas dashboard

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Creating a dashboard will allow you to synthesize your understanding of Pandas by consolidating data into an interactive and informative visualization.

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Follow a tutorial on creating a Pandas dashboard
Gather the necessary data
Create visualizations with Pandas, Plotly, or Seaborn

Host a study group on Pandas

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An interactive study session reinforces knowledge and helps you master the key concepts of Pandas.

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Invite fellow learners
Prepare discussion topics
Facilitate the discussion
Summarize key takeaways

Create a data visualization dashboard

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Create a data visualization dashboard to showcase your skills and understanding of the course material

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Gather data from multiple sources
Clean and prepare the data for visualization
Design and develop a dashboard using visualization tools
Present and share your dashboard with others

Build a dashboard for a non-profit organization

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Creating a dashboard for a non-profit organization provides practical experience in using Pandas for social good and consolidates your learning on data visualization.

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Identify a non-profit organization to collaborate with
Gather data and determine requirements
Design and develop the dashboard
Present the dashboard to the organization

Develop a data analysis project using Pandas

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Working on a real-world data analysis project will help you apply your Pandas skills to solve practical problems.

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Identify a dataset
Clean and prepare the data
Perform data analysis with Pandas
Visualize the results
Write a report or presentation

Participate in a Pandas-related hackathon

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Competing in a hackathon challenges you to use Pandas in a timed and collaborative environment, enhancing your skills and learning under pressure.

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Find a hackathon focused on data science or Pandas
Form a team or work solo
Develop a project using Pandas

Contribute to the Pandas GitHub repository

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Contributing to the Pandas GitHub repository gives you hands-on experience and the opportunity to learn from experts, deepening your understanding of Pandas.

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Identify a feature or issue to work on
Fork the repository
Make changes and submit a pull request

Career center

Learners who complete Pandas Playbook: Visualization will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use statistical and machine learning techniques to solve complex business problems. The Pandas Playbook: Visualization course helps Data Scientists develop the skills they need to visualize their data, which is essential for understanding the patterns and trends within the data. By mastering data visualization, Data Scientists can communicate their insights more effectively and contribute to the success of their organizations.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to extract meaningful insights. The Pandas Playbook: Visualization course provides a solid foundation in data visualization, a key skill for Data Analysts. By learning how to create clear and informative plots, Data Analysts can effectively communicate their findings to stakeholders and drive decision-making.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to understand and improve business processes. The Pandas Playbook: Visualization course provides Business Analysts with the skills they need to visualize data in a way that is easy to understand and actionable. By learning how to create clear and concise plots, Business Analysts can communicate their findings to stakeholders and help organizations make better decisions.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians use data to solve problems and make predictions. The Pandas Playbook: Visualization course helps Statisticians develop the skills they need to visualize data, which is essential for understanding the patterns and trends within the data. By mastering data visualization, Statisticians can communicate their insights more effectively and contribute to the success of their organizations.

See salaries and explore the career path for Statistician

Market Researcher

Market Researchers collect and analyze data to understand consumer behavior and market trends. The Pandas Playbook: Visualization course provides Market Researchers with the skills they need to visualize data in a way that is easy to understand and actionable. By learning how to create clear and concise plots, Market Researchers can communicate their findings to stakeholders and help organizations make better decisions.

See salaries and explore the career path for Market Researcher

Financial Analyst

Financial Analysts use data to make investment recommendations and provide financial advice. The Pandas Playbook: Visualization course helps Financial Analysts develop the skills they need to visualize financial data, which is essential for understanding market trends and making sound investment decisions. By mastering data visualization, Financial Analysts can communicate their insights more effectively and contribute to the success of their clients.

See salaries and explore the career path for Financial Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. The Pandas Playbook: Visualization course may be useful for Software Engineers who want to learn how to visualize data within their applications. By understanding how to create clear and informative plots, Software Engineers can make their applications more user-friendly and informative.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers build and maintain the infrastructure that supports data analysis. The Pandas Playbook: Visualization course may be useful for Data Engineers who want to learn how to visualize data in a way that is easy to understand and actionable. By understanding how to create clear and concise plots, Data Engineers can communicate their findings to stakeholders and help organizations make better decisions.

See salaries and explore the career path for Data Engineer

UX Designer

UX Designers design the user experience for websites and applications. The Pandas Playbook: Visualization course may be useful for UX Designers who want to learn how to visualize data in a way that is easy to understand and actionable. By understanding how to create clear and concise plots, UX Designers can communicate their findings to stakeholders and help organizations create better products.

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Researcher

Researchers use data to answer questions and solve problems. The Pandas Playbook: Visualization course may be useful for Researchers who want to learn how to visualize data in order to make better decisions about their research. By understanding how to create clear and informative plots, Researchers can communicate their findings to stakeholders and help organizations make better decisions.

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Product Manager

Product Managers oversee the development and launch of new products. The Pandas Playbook: Visualization course may be useful for Product Managers who want to learn how to visualize data in order to make better decisions about product development. By understanding how to create clear and informative plots, Product Managers can communicate their findings to stakeholders and help organizations create products that meet the needs of their customers.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to make investment decisions. The Pandas Playbook: Visualization course may be useful for Quantitative Analysts who want to learn how to visualize data in order to make better decisions about investment opportunities. By understanding how to create clear and informative plots, Quantitative Analysts can communicate their findings to stakeholders and help organizations make better investment decisions.

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Data Journalist

Data Journalists use data to tell stories and inform the public. The Pandas Playbook: Visualization course may be useful for Data Journalists who want to learn how to visualize data in order to create more engaging and informative stories. By understanding how to create clear and concise plots, Data Journalists can communicate their findings to the public in a way that is easy to understand and actionable.

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Consultant

Consultants provide advice and guidance to organizations on a variety of topics. The Pandas Playbook: Visualization course may be useful for Consultants who want to learn how to visualize data in order to make better decisions about their clients' businesses. By understanding how to create clear and informative plots, Consultants can communicate their findings to stakeholders and help organizations make better decisions.

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Technical Writer

Technical Writers create documentation for software and other products. The Pandas Playbook: Visualization course may be useful for Technical Writers who want to learn how to visualize data in order to create more effective documentation. By understanding how to create clear and informative plots, Technical Writers can help users better understand the products they are using.

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