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Mastering Data Visualization with Python using Seaborn Lib.


Mastering Data Visualization with Python using Seaborn Lib. Course includes 5.5 hrs video content and enrolled by 6,166 students and received a 4.1 average review out of 5. Now, Course instructor offering 100%OFF on the original price of the course and its limited time offer. Enroll the course before the coupon expired Once you’re enrolled for the course, you can start it whenever and complete it at your own pace. it will never expire on your account.


  • Describe what makes a good or bad visualization
  • Understand best practices for creating basic charts
  • Identify the functions that are best for particular problems
  • Create a visualization seaborn
  • Distribution Plot
  • Histograms
  • KDE Plots
  • Scatter Plot
  • Rug Plot
  • Joint Plot
  • Pair Plot
  • Bar Plot
  • Count Plot
  • Box Plot
  • Violin Plot
  • Strip Plot
  • Swarm Plot
  • Heat Map
  • Pair Plot
  • Sub Plot


  • Python Programming
  • Data Virtualization
  • Data Visualization (DataViz)
  • seaborn

Who this course is for:

  • Data Scientists, Data Analysts.
  • Who wants to start their data visualization journey
  • Who Is curious about how to build effective and impactful graphs
  • Who Is looking to break into the business intelligence, analytics or data visualization field
  • Anyone who want to express thoughts, findings, insights from any kind of data using data Visualization.

Can I download Mastering Data Visualization with Python using Seaborn Lib. course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Mastering Data Visualization with Python using Seaborn Lib. course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
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