25.8.20
This website uses cookies to ensure you get the best experience on our website. Learn more

Data Visualization with Matplotlib & Seaborn

Nasrollah Arimao

This badge is earned by successfully completing the Data Visualization with Matplotlib & Seaborn course at Maven Analytics. COURSE HOURS: 12.5 CPE CREDITS: 12.5 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. CPE ACCREDITATION DETAILS: - CPE Credits: 12.5 - 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.

Skills / Knowledge

  • Business Intelligence
  • python
  • data visualization
  • analytics
  • matplotlib
  • seaborn
  • data science
  • data analytics

Issued on

October 25, 2024

Expires on

Does not expire
Job Insights

These are the most common job titles and employers with the most open positions related to this credential.

Top job titles related to this credential
Top Employers
0 0 2,000 2,000 4,000 4,000 6,000 6,000 8,000 8,000 10,000 10,000 Jobs Oracle Oracle Amazon Amazon Meta Meta EY EY PwC PwC
0 0 2,000 2,000 4,000 4,000 6,000 6,000 8,000 8,000 10,000 10,000 Jobs
Legend
  • Oracle
  • Amazon
  • Meta
  • EY
  • PwC