Self-paced course
Self-paced course
Data Visualization with Matplotlib & Seaborn
Data Visualization with Matplotlib & Seaborn
Course Description
This is a hands-on, project-based course designed to help you learn two of the most popular Python packages for data visualization: Matplotlib and Seaborn.
We’ll start with a quick introduction to data visualization frameworks and best practices, and review essential visuals, common errors, and tips for effective communication and storytelling.
From there we’ll dive into Matplotlib fundamentals, and practice building and customizing line charts, bar charts, pies & donuts, scatterplots, histograms and more. We’ll break down the components of a Matplotlib figure and introduce common chart formatting techniques, then explore advanced customization options like subplots, GridSpec, style sheets and parameters.
Finally we’ll introduce Python’s Seaborn library. We’ll start by building some basic charts, then dive into more advanced visuals like box & violin plots, PairPlots, heat maps, FacetGrids, and more.
Throughout the course you’ll play the role of a Consultant at Maven Consulting Group, a firm that provides strategic advice to companies around the world. You’ll practice applying your skills to a range of real-world projects and case studies, from hotel customer demographics to diamond ratings, coffee prices and automotive sales.
If you’re a data scientist, BI analyst or data engineer looking to add Matplotlib & Seaborn to your Python skill set, this is the course for you.
Course Description
This is a hands-on, project-based course designed to help you learn two of the most popular Python packages for data visualization: Matplotlib and Seaborn.
We’ll start with a quick introduction to data visualization frameworks and best practices, and review essential visuals, common errors, and tips for effective communication and storytelling.
From there we’ll dive into Matplotlib fundamentals, and practice building and customizing line charts, bar charts, pies & donuts, scatterplots, histograms and more. We’ll break down the components of a Matplotlib figure and introduce common chart formatting techniques, then explore advanced customization options like subplots, GridSpec, style sheets and parameters.
Finally we’ll introduce Python’s Seaborn library. We’ll start by building some basic charts, then dive into more advanced visuals like box & violin plots, PairPlots, heat maps, FacetGrids, and more.
Throughout the course you’ll play the role of a Consultant at Maven Consulting Group, a firm that provides strategic advice to companies around the world. You’ll practice applying your skills to a range of real-world projects and case studies, from hotel customer demographics to diamond ratings, coffee prices and automotive sales.
If you’re a data scientist, BI analyst or data engineer looking to add Matplotlib & Seaborn to your Python skill set, this is the course for you.
Course Content
13 course hours
15 assignments & solutions
4 quizzes
4 skill assessments
13 CPE credits
Who should take this course
Analysts or BI professionals looking to learn Matplotlib & Seaborn
Aspiring data scientists who want to build Python data visualization skills
Anyone interested in learning one of the most popular open source programming languages in the world
Meet your instructors
Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Featured review
"I completed the Data Visualization with Matplotlib & Seaborn course through Maven Analytics, and it was an incredible journey! The course was put together very well into comprehensive modules, each filled with insightful videos and engaging quizzes that solidified my understanding at every step. This course not only enhanced my data visualization skills but also instilled a deeper appreciation for the power of effective data storytelling. Highly recommended for anyone looking to master these essential tools!"
Johnathan B.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Data Visualization with Matplotlib & Seaborn
Data Visualization with Matplotlib & Seaborn
CPE Accreditation
CPE Credits:
13
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
Course Description
This is a hands-on, project-based course designed to help you learn two of the most popular Python packages for data visualization: Matplotlib and Seaborn.
We’ll start with a quick introduction to data visualization frameworks and best practices, and review essential visuals, common errors, and tips for effective communication and storytelling.
From there we’ll dive into Matplotlib fundamentals, and practice building and customizing line charts, bar charts, pies & donuts, scatterplots, histograms and more. We’ll break down the components of a Matplotlib figure and introduce common chart formatting techniques, then explore advanced customization options like subplots, GridSpec, style sheets and parameters.
Finally we’ll introduce Python’s Seaborn library. We’ll start by building some basic charts, then dive into more advanced visuals like box & violin plots, PairPlots, heat maps, FacetGrids, and more.
Throughout the course you’ll play the role of a Consultant at Maven Consulting Group, a firm that provides strategic advice to companies around the world. You’ll practice applying your skills to a range of real-world projects and case studies, from hotel customer demographics to diamond ratings, coffee prices and automotive sales.
If you’re a data scientist, BI analyst or data engineer looking to add Matplotlib & Seaborn to your Python skill set, this is the course for you.
Course Description
This is a hands-on, project-based course designed to help you learn two of the most popular Python packages for data visualization: Matplotlib and Seaborn.
We’ll start with a quick introduction to data visualization frameworks and best practices, and review essential visuals, common errors, and tips for effective communication and storytelling.
From there we’ll dive into Matplotlib fundamentals, and practice building and customizing line charts, bar charts, pies & donuts, scatterplots, histograms and more. We’ll break down the components of a Matplotlib figure and introduce common chart formatting techniques, then explore advanced customization options like subplots, GridSpec, style sheets and parameters.
Finally we’ll introduce Python’s Seaborn library. We’ll start by building some basic charts, then dive into more advanced visuals like box & violin plots, PairPlots, heat maps, FacetGrids, and more.
Throughout the course you’ll play the role of a Consultant at Maven Consulting Group, a firm that provides strategic advice to companies around the world. You’ll practice applying your skills to a range of real-world projects and case studies, from hotel customer demographics to diamond ratings, coffee prices and automotive sales.
If you’re a data scientist, BI analyst or data engineer looking to add Matplotlib & Seaborn to your Python skill set, this is the course for you.
Curriculum
Meet your instructors
Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Student reviews
I completed the Data Visualization with Matplotlib & Seaborn course through Maven Analytics, and it was an incredible journey! The course was put together very well into comprehensive modules, each filled with insightful videos and engaging quizzes that solidified my understanding at every step. This course not only enhanced my data visualization skills but also instilled a deeper appreciation for the power of effective data storytelling. Highly recommended for anyone looking to master these essential tools!
Johnathan B.
It is a really great course. I had so much fun and got really comfortable with using both libraries. Slicing and dicing the data also got easier. I have never imagined python was capable of such great data visualisations.
Ewa
I am absolutely thrilled with my experience at Maven Analytics! The high-quality courses, guided projects, and well-structured learning paths have been instrumental in my data visualization journey. The Data Playground is a fantastic resource, providing a hands-on environment to apply what I've learned. The comprehensive content and engaging format have truly elevated my skills in Power BI, Tableau, and Python. A big shoutout to Maven Analytics for providing an exceptional platform for learning and growth in the field of data. Highly recommended!
Andrew Hubbard
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Data Visualization with Matplotlib & Seaborn
Data Visualization with Matplotlib & Seaborn
CPE Accreditation
CPE Credits:
13
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
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