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#20 Data Visualization | Part II | Python for Data Science
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Python for Data Science - #20 Data Visualization | Part II | Python for Data Science

4.0 (2)
25 learners

What you'll learn

This course includes

  • 9.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Welcome to 'Python for Data Science' course ! Building on the Matplotlib foundation from Part I, this video introduces Seaborn, a powerful Python library for creating statistically insightful and visually appealing plots. You'll learn to create scatter plots, histograms, and bar plots with enhanced aesthetics and customization options. The video also covers advanced visualizations like box plots for analyzing distributions and identifying outliers, and pairwise plots to explore relationships between multiple variables. This will empower you to create impactful visualizations that communicate your data's story effectively. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106212 #Seaborn #MissingData #HandlingMissingData #MeanImputation #MedianImputation #ModeImputation

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