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Python for Data Visualization

Matplotlib & Seaborn(Enhanced)

Ryan Ahmed

In this hands-on project, we will understand the fundamentals of data visualization with Python and leverage the power of two important python libraries known as Matplotlib and seaborn. We will learn how to generate line plots, scatterplots, histograms, distribution plot, 3D plots, pie charts, pair plots, countplots and many more!

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Python for Data Visualization: Matplotlib & Seaborn

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores core concepts in data visualization with Python

Taught by Ryan Ahmed, an expert in data visualization and data analysis

Utilizes Python libraries Matplotlib and Seaborn, which are widely used in industry

Covers various types of data visualization, including line plots, scatterplots, and histograms

Offers hands-on exercises and interactive materials for active learning

Suited for beginners seeking a foundation in data visualization with Python

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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 Python for Data Visualization:Matplotlib & Seaborn(Enhanced) with these activities:

Review Statistics

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Brush up on your statistics skills to get a solid footing for this course.

Browse courses on Statistics

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Review probability distributions and their properties.
Practice calculating descriptive statistics (mean, median, mode, etc.).
Refresh your knowledge of hypothesis testing and confidence intervals.

Review Python Basics

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Ensure you have a solid understanding of Python before diving into data visualization.

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Review variables, data types, and operators.
Practice writing simple functions and loops.
Refresh your knowledge of object-oriented programming concepts.

Explore Matplotlib and Seaborn Tutorials

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Enhance your understanding of these Python libraries by following some tutorials to reinforce what's covered in the course.

Browse courses on Matplotlib

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Find a tutorial that covers the basics of Matplotlib.
Follow a tutorial that demonstrates how to create visualizations with Seaborn.
Try out the examples and experiment with different data sets.

Three other activities

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Join a Study Group for Python Visualization

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Collaborate with peers to enhance your understanding of Python visualization techniques.

Browse courses on Matplotlib

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Find a study group or create one with classmates.
Meet regularly to discuss course concepts, share code snippets, and work on projects together.
Provide feedback and support to your peers.

Create a Variety of Plots with Matplotlib

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Solidify your grasp of Matplotlib by practicing creating different types of plots.

Browse courses on Matplotlib

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Create a line plot to visualize a time series.
Plot a scatterplot to show the relationship between two variables.
Generate a histogram to display the distribution of data.
Create a pie chart to represent proportions.

Develop a Dashboard with Seaborn

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Deepen your understanding of Seaborn by building a dashboard to visualize data comprehensively.

Browse courses on Seaborn

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Choose a dataset and import it into your Python environment.
Use Seaborn to create multiple visualizations (e.g., line charts, scatterplots, histograms).
Arrange the visualizations on a dashboard using a framework like Plotly or Dash.
Share your dashboard with others for feedback and insights.

Career center

Learners who complete Python for Data Visualization:Matplotlib & Seaborn(Enhanced) will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make better decisions. The ability to visualize data is an essential skill for Data Analysts, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists analyze large amounts of data to find patterns and trends that can help businesses make better decisions. The ability to visualize data is an essential skill for Data Scientists, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Market Research Analyst

Market Research Analysts collect and analyze data on consumer behavior to help businesses develop new products and services. The ability to visualize data is an essential skill for Market Research Analysts, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Market Research Analyst.

See salaries and explore the career path for Market Research Analyst

Business Analyst

Business Analysts help businesses improve their performance by analyzing data and identifying opportunities for improvement. The ability to visualize data is an essential skill for Business Analysts, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts help businesses make sound financial decisions by analyzing financial data. The ability to visualize data is an essential skill for Financial Analysts, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Statistician

Statisticians collect, analyze, and interpret data to help businesses make better decisions. The ability to visualize data is an essential skill for Statisticians, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Statistician.

See salaries and explore the career path for Statistician

Data Engineer

Data Engineers design and build systems to manage and process data. The ability to visualize data is an essential skill for Data Engineers, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers design and build machine learning models to solve business problems. The ability to visualize data is an essential skill for Machine Learning Engineers, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. The ability to visualize data is an essential skill for Software Engineers, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Software Engineer.

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Data Visualization Specialist

Data Visualization Specialists design and create visualizations to help businesses communicate data insights. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Data Visualization Specialist.

See salaries and explore the career path for Data Visualization Specialist

Graphic designer

Graphic Designers create visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. The ability to visualize data is an essential skill for Graphic Designers, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Graphic Designer.

See salaries and explore the career path for Graphic designer

UX Designer

UX Designers create user interfaces for websites and applications. The ability to visualize data is an essential skill for UX Designers, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a UX Designer.

See salaries and explore the career path for UX Designer

Sales Manager

Sales Managers are responsible for the development and execution of sales strategies. The ability to visualize data is an essential skill for Sales Managers, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Sales Manager.

See salaries and explore the career path for Sales Manager

Marketing Manager

Marketing Managers are responsible for the development and execution of marketing campaigns. The ability to visualize data is an essential skill for Marketing Managers, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Marketing Manager.

See salaries and explore the career path for Marketing Manager

Product Manager

Product Managers are responsible for the development and launch of new products. The ability to visualize data is an essential skill for Product Managers, as it allows them to quickly and easily identify patterns and trends in data. This course will help you build a strong foundation in data visualization using Python libraries such as Matplotlib and seaborn. These skills will be invaluable to you if you are interested in a career as a Product Manager.

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Reading list

We've selected 13 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 Python for Data Visualization:Matplotlib & Seaborn(Enhanced).

Beautiful Evidence

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Classic text on data visualization. It covers a wide range of topics, including data visualization principles, chart selection, and design principles. This book would be a valuable resource for anyone looking to learn more about data visualization best practices.

Beautiful Evidence

Hardcover

Data Science from Scratch

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Provides a comprehensive overview of data science, from data collection to data visualization. It covers a wide range of topics, including data exploration, data cleaning, and data modeling. This book would be a valuable resource for anyone looking to learn more about data science.

Python for Data Visualization

Matplotlib & Seaborn(Enhanced)

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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