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Getting Started with Matplotlib
Mihaela Danci
Mihaela Danci
Understanding and presenting complex information is easier with data visualization. In this course, you’ll learn how to use Matplotlib to create and customize line, bar, and scatter plots.
Read more
Understanding and presenting complex information is easier with data visualization. In this course, you’ll learn how to use Matplotlib to create and customize line, bar, and scatter plots.
Read more
Understanding and presenting complex information is easier with data visualization. In this course, you’ll learn how to use Matplotlib to create and customize line, bar, and scatter plots.
Data visualization represents a great way to explore and understand data. It also helps in effectivity communicating insights to a variety of audiences and facilitating the decision-making process. In this course, Getting Started with Matplotlib, you’ll learn to create basic chart types. First, you’ll explore Matplotlib’s architecture. Next, you’ll discover what the components of a figure are. Finally, you’ll learn how to build and customize line, bar, and scatter plots. When you’re finished with this course, you’ll have the foundational knowledge needed to craft data visualizations using Matplotlib.
Register for this course and see more details by visiting:
OpenCourser.com/course/ixfrl1/getting
What's inside
Syllabus
Course Overview
Understanding Matplotlib’s Architecture
Building Line Charts
Working with Scatter Plots
Read more
Syllabus
Course Overview
Understanding Matplotlib’s Architecture
Building Line Charts
Working with Scatter Plots
Read more
Creating Bar Charts
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Course teaches Matplotlib, a popular and industry standard data visualization library used by data analysts and scientists
Taught by Mihaela Danci, an experienced programmer and data visualization expert
Develops foundational knowledge in data visualization using Matplotlib, which is a core skill for data analysts and scientists
Explores Matplotlib's architecture, components of a figure, and building and customizing line, bar, and scatter plots
Suitable for beginners with no prior experience in data visualization
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Activities
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Getting Started with Matplotlib.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Getting Started with Matplotlib will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses their expertise to analyze, interpret, and present data. They work with other professionals in the business to design and implement data collection, organization, and analysis. This course may help a Data Scientist build a foundation in data visualization, a key skill for communicating insights to others.
Data Analyst
Data Analyst
A Data Analyst helps organization make better decisions through data visualization. A good Data Analyst uses tools to organize and present data from a variety of sources in a way that communicates detailed information. This course may help a Data Analyst gain a foundation for visualizing data in powerful, compelling ways.
Business Analyst
Business Analyst
A Business Analyst is responsible for researching, understanding, and analyzing an organization's business processes. They may then create and implement solutions to business problems. This course may help a Business Analyst learn critical visualization techniques that help improve communication and decision-making.
Market Researcher
Market Researcher
A Market Researcher gathers, analyzes, and interprets data about consumer behavior and market trends. This course may be helpful for a Market Researcher by providing tools that can be used to visualize data for use in marketing and sales.
Product Manager
Product Manager
A Product Manager is responsible for developing and executing a product vision, including gathering requirements, defining features, and overseeing development. This course may be helpful for a Product Manager who wants to learn about creating clear and actionable visualizations to communicate their ideas and plans to stakeholders.
Software Engineer
Software Engineer
A Software Engineer applies computer science principles to the design, development, deployment, and maintenance of software systems. This course may be helpful for a Software Engineer who participates in the creation of data-driven software applications.
Financial Analyst
Financial Analyst
A Financial Analyst uses financial data to help organizations make investment decisions and maximize profitability. This course may be helpful for a Financial Analyst by providing the skills to create visualizations that enable them to make data-driven recommendations for improved financial outcomes.
Data Journalist
Data Journalist
A Data Journalist uses data to tell stories and inform the public. This course may be helpful for a Data Journalist who wants to learn about creating clear and concise visualizations to communicate data-driven insights to a wide audience.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data. This course may be helpful for a Statistician who wants to learn about using data visualization to present statistical findings in a clear and concise way.
Data Engineer
Data Engineer
A Data Engineer designs and builds data systems for storing, managing, and processing large amounts of data. This course may be helpful for a Data Engineer who wants to learn about using data visualization to understand the performance of data systems and identify areas for improvement.
UX Designer
UX Designer
A UX Designer is responsible for designing user interfaces that are both functional and aesthetically pleasing. This course may be helpful for a UX Designer who wants to learn about using data visualization to understand user behavior and improve the user experience.
Management Consultant
Management Consultant
A Management Consultant provides expert advice to organizations on how to improve their performance. This course may be helpful for a Management Consultant by providing the ability to visualize and present complex data in a way that makes it easier to make effective recommendations.
Information Architect
Information Architect
An Information Architect designs and organizes the structure and content of websites, intranets, and other digital products. This course may be helpful for an Information Architect who wants to learn about using data visualization to create intuitive and user-friendly information architectures.
Quantitative Researcher
Quantitative Researcher
A Quantitative Researcher uses statistical methods to analyze financial data and make investment recommendations. This course may be helpful for a Quantitative Researcher by providing a foundation in data visualization, which can be used to identify trends and patterns in financial data.
Epidemiologist
Epidemiologist
An Epidemiologist investigates the causes and spread of diseases. This course may be helpful for an Epidemiologist who wants to learn about using data visualization to track and map the spread of diseases and identify risk factors.
For more career information including salaries, visit:
OpenCourser.com/course/ixfrl1/getting
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Getting Started with Matplotlib.
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Is considered a classic in the field of data visualization and is highly recommended for this course's learners who seek advanced knowledge in this area.
Helps learners understand principles related to what type of chart to use for different data and can supplement this course.
This course provides foundational concepts in information visualization that can supplement the information provided in this course, particularly in understanding the process of designing effective data visualizations.
Provides a practical introduction to using D3.js for data visualization, offering an alternative perspective to Matplotlib.
Provides learners with an introduction to ggplot2, a popular data visualization library in R, which can provide a different perspective to Matplotlib.
Provides foundational knowledge in Python data analysis and can serve as a preparatory resource for this course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ixfrl1/getting
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Time
69 hours
Level
Introductory
Via
Pluralsight
Instructor
Mihaela Danci
Language
English
Good to know
Course teaches Matplotlib, a popular and industry standard data visualization library used by data analysts and scientists
Taught by Mihaela Danci, an experienced programmer and data visualization expert
Develops foundational knowledge in data visualization using Matplotlib, which is a core skill for data analysts and scientists
Explores Matplotlib's architecture, components of a figure, and building and customizing line, bar, and scatter plots
Suitable for beginners with no prior experience in data visualization
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