Plotting Data with Pandas from Pluralsight

This course will introduce you to basic data plotting functions in Python that will help you to create clear and dynamic data visualizations to communicate analysis and findings with various audiences.

When performing data analysis, the ability to visualize your data is extremely important for both the analysis process itself as well as for sharing your results with others. In this course, Plotting Data with Pandas, you’ll learn how to use basic plotting functions in Python to create data visualizations.

First, you’ll be introduced to Matplotlib, a built-in Python plotting library, and some of its fundamental features.

Next, you’ll discover methods about preparing your data for visualization and how to use it to create basic plots.

Finally, you’ll explore how to use Python to customize your visualizations.

When you’re finished with this course, you’ll have the knowledge needed to prepare effective data visualizations that will allow you to clearly communicate results and findings from your data analysis work with a wide variety of audiences.

What's inside

Syllabus

Course Overview

Introducing the Plotting Ecosystem

Plotting Using Pandas

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces learners to basic data-plotting functions in Python, a fundamental skill many industries and roles expect

Provides tools that enable learners to effectively communicate findings with various audiences through visual representations

Leverages Matplotlib, a well-established and widely used Python library, which increases industry relevance and alignment

Instructor Jason Browning, Ph.D., brings expertise in the subject matter to the course, enhancing its credibility

Career center

Learners who complete Plotting Data with Pandas will develop knowledge and skills that may be useful to these careers:

Data Visualization Engineer

Data Visualization Engineers specialize in creating interactive and visually appealing data visualizations. This course in Plotting Data with Pandas can provide a strong foundation for Data Visualization Engineers by teaching them the fundamentals of data visualization, including data preparation, basic plotting techniques, and customization of visualizations. The course will enable them to create clear and effective data visualizations that communicate insights effectively.

See salaries and explore the career path for Data Visualization Engineer

Data Scientist

Data Scientists analyze and interpret large amounts of data to extract meaningful insights and make informed decisions. This course in Plotting Data with Pandas can help build a foundation for Data Scientists by providing them with the skills to visualize and communicate their findings effectively. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, which are essential for presenting data insights in a clear and compelling manner.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts play a crucial role in transforming raw data into valuable insights for businesses. This course in Plotting Data with Pandas can be beneficial for Data Analysts as it provides them with hands-on experience in data visualization, which is a key skill for communicating analysis and findings to stakeholders. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, enabling Data Analysts to create informative and visually appealing data presentations.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians use mathematical and statistical techniques to analyze and interpret data. This course in Plotting Data with Pandas can be beneficial for Statisticians as it provides them with hands-on experience in data visualization, which is a key skill for communicating complex statistical concepts and findings to a wider audience. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, enabling Statisticians to create visually appealing and informative data presentations.

See salaries and explore the career path for Statistician

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course in Plotting Data with Pandas can be beneficial for Quantitative Analysts as it provides them with hands-on experience in data visualization, which is a key skill for communicating complex financial concepts and findings to clients and stakeholders. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, enabling Quantitative Analysts to create visually appealing and informative data presentations.

See salaries and explore the career path for Quantitative Analyst

User Experience (UX) Designer

User Experience (UX) Designers focus on creating user-friendly and engaging digital experiences. This course in Plotting Data with Pandas can be useful for UX Designers as it provides them with the skills to visualize and communicate data effectively. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, enabling UX Designers to create visually appealing and informative data presentations that support user research and design decisions.

See salaries and explore the career path for User Experience (UX) Designer

Financial Analyst

Financial Analysts use data to analyze financial performance and make investment recommendations. This course in Plotting Data with Pandas can be beneficial for Financial Analysts as it provides them with the skills to visualize and communicate financial data effectively. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, enabling Financial Analysts to create clear and compelling data presentations for clients and stakeholders.

See salaries and explore the career path for Financial Analyst

Business Analyst

Business Analysts use data to identify and solve business problems. This course in Plotting Data with Pandas can be useful for Business Analysts as it provides them with the skills to visualize and communicate data insights effectively. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, which are essential for presenting data-driven recommendations and solutions to business stakeholders.

See salaries and explore the career path for Business Analyst

Consultant

Consultants provide expert advice and support to businesses. This course in Plotting Data with Pandas can be useful for Consultants as it provides them with the skills to visualize and communicate data effectively. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, enabling Consultants to create visually appealing and informative data presentations that support their recommendations and insights.

See salaries and explore the career path for Consultant

Product Manager

Product Managers are responsible for managing the development and launch of products. This course in Plotting Data with Pandas can be beneficial for Product Managers as it provides them with the skills to visualize and communicate data effectively. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, enabling Product Managers to create clear and compelling data presentations for stakeholders and track product performance.

See salaries and explore the career path for Product Manager

Market Researcher

Market Researchers gather and analyze data to understand consumer behavior and market trends. This course in Plotting Data with Pandas can be beneficial for Market Researchers as it provides them with the skills to visualize and communicate research findings effectively. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, enabling Market Researchers to create visually appealing and informative data presentations for clients and stakeholders.

See salaries and explore the career path for Market Researcher

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. While data visualization is not a primary responsibility of Operations Research Analysts, this course may be useful for those who are involved in data exploration and analysis as part of their role. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, which can enhance their understanding of data and improve communication with stakeholders.

See salaries and explore the career path for Operations Research Analyst

Data Engineer

Data Engineers design and build systems for data storage, processing, and analysis. While data visualization is not a primary responsibility of Data Engineers, this course may be useful for those who are involved in data exploration and analysis as part of their role. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, which can enhance their understanding of data and improve communication with stakeholders.

See salaries and explore the career path for Data Engineer

Actuary

Actuaries analyze and interpret data to assess risk and financial implications. While data visualization is not a primary responsibility of Actuaries, this course may be useful for those who are involved in data exploration and analysis as part of their role. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, which can enhance their understanding of data and improve communication with stakeholders.

See salaries and explore the career path for Actuary

Software Engineer

Software Engineers design, develop, and maintain software systems. While data visualization is not a primary responsibility of Software Engineers, this course may be useful for those who work on data-driven software applications. The course covers topics such as data preparation, basic plotting techniques, and customization of visualizations, which can enhance their understanding of data and improve communication with stakeholders.

See salaries and explore the career path for Software Engineer

Plotting Data with Pandas

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses