Build Your First Data Visualization with Matplotlib from Pluralsight

Learn how Matplotlib enables you to create clear and compelling data visualizations in Python.

Matplotlib enables users to create clear and compelling data visualizations in Python. In this course, Build Your First Data Visualization with Matplotlib, you’ll learn how one of the most popular packages of Python can be used to create state of the art data visualizations. First, you’ll see how to get an optimal user interface which includes Python, Jupyter Notebook and the required libraries Matplotlib, Pandas and Numpy. Next, you’ll discover the standard code setup in Matplotlib Pyplot and how it can be adjusted. After that, you'll explore how different chart types are created and formatted. As far as formatting is concerned, you'll look at text elements, axes, legends, markers and ready made style sheets, as well as the optimal data preparation steps required for particular data visualization types. Finally, you’ll learn about shared axis plots and sheet layouts which are handy for reports and presentations.. When you’re finished with this course, you’ll have the knowledge to understand the general structure of the Matplotlib library and how it helps you in data analysis.

What's inside

Syllabus

Course Overview

Exploring the Matplotlib Data Visualization Package

Modifying a Matplotlib Visualization

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops data visualization capabilities and knowledge, which are core skills for data scientists and analysts

Provides a foundation for understanding the general structure and functions of the Matplotlib library, which is essential for data visualization in Python

Utilizes industry-standard tools, such as Jupyter Notebook, Matplotlib, Pandas, and NumPy, which enhances the relevance of the course

Taught by Martin Burger, an experienced instructor in data visualization

Covers essential data visualization techniques, including chart creation, formatting, and data preparation, which are valuable skills for data analysis

Lacks hands-on, interactive exercises or projects that allow learners to apply their knowledge

Does not cover advanced data visualization techniques or address real-world data visualization challenges

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 Build Your First Data Visualization with Matplotlib with these activities:

Review Python Basics

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Refreshing Python basics strengthens the foundation for effectively using Matplotlib, reducing potential roadblocks.

Browse courses on Python Basics

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Review data types, variables, and control flow
Practice writing simple Python scripts

Read 'Effective Data Visualization with Python'

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This book provides a comprehensive overview of data visualization techniques in Python, complementing the course content with additional insights.

View Pandas for Everyone: Python Data Analysis... on Amazon

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Read chapters 1-3 to gain a solid foundation in data visualization principles
Refer to specific sections of the book when working on Matplotlib assignments

Show all two activities

Career center

Learners who complete Build Your First Data Visualization with Matplotlib will develop knowledge and skills that may be useful to these careers:

Quantitative Analyst

Quantitative Analysts develop and use mathematical and statistical models to analyze financial data. They use this information to make recommendations on investments and risk management. The Build Your First Data Visualization with Matplotlib course would be helpful for a Quantitative Analyst because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Statistician

Statisticians collect, analyze, and interpret data. They use statistical techniques to make predictions and solve problems. The Build Your First Data Visualization with Matplotlib course would be helpful for a Statistician because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Market Researcher

Market Researchers collect and analyze data on consumer behavior. They use this information to make recommendations on marketing strategies and product development. The Build Your First Data Visualization with Matplotlib course would be helpful for a Market Researcher because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. They use this information to make recommendations and solve problems. The Build Your First Data Visualization with Matplotlib course would be helpful for a Data Analyst because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to identify and solve business problems. They use analytical techniques to understand data and make recommendations. The Build Your First Data Visualization with Matplotlib course would be helpful for a Business Analyst because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Financial Analyst

Financial Analysts use financial data to make recommendations on investments and financial planning. They use analytical techniques to understand data and make predictions. The Build Your First Data Visualization with Matplotlib course may be useful for a Financial Analyst because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They use this information to make recommendations on insurance premiums and financial planning. The Build Your First Data Visualization with Matplotlib course may be useful for an Actuary because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Data Scientist

Data Scientists use data to build models and solve problems. They combine statistical and machine learning techniques to uncover insights and make predictions. The Build Your First Data Visualization with Matplotlib course may be useful for a Data Scientist because it introduces data visualization concepts. This course covers topics such as creating and customizing different types of visualizations.

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Software Engineer

Software Engineers design, develop, and maintain software systems. They use programming languages and tools to create software that meets the needs of users. The Build Your First Data Visualization with Matplotlib course may be useful for a Software Engineer because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Data Engineer

Data Engineers design and build systems to store and process data. They use programming languages and tools to create data pipelines and databases. The Build Your First Data Visualization with Matplotlib course may be useful for a Data Engineer because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. They use machine learning algorithms and techniques to create models that can learn from data and make predictions. The Build Your First Data Visualization with Matplotlib course may be useful for a Machine Learning Engineer because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Data Architect

Data Architects design and manage data systems. They use data modeling and database design techniques to create systems that meet the needs of users. The Build Your First Data Visualization with Matplotlib course may be useful for a Data Architect because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Database Administrator

Database Administrators design, implement, and maintain databases. They use database management systems to store and organize data. The Build Your First Data Visualization with Matplotlib course may be useful for a Database Administrator because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access and attacks. They use security tools and techniques to identify and mitigate security risks. The Build Your First Data Visualization with Matplotlib course may be useful for an Information Security Analyst because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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Computer Scientist

Computer Scientists design and develop computer software and systems. They use programming languages and tools to create new technologies. The Build Your First Data Visualization with Matplotlib course may be useful for a Computer Scientist because it provides a foundation in data visualization techniques. This course covers topics such as creating different types of charts and graphs, formatting visualizations, and preparing data for visualization.

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