Violin Plots Courses and Certifications

Go Deeper into Exploratory Data Analysis (EDA)

Master advanced data visualization techniques using diamonds dataset to uncover patterns through box plots, scatter plots, violin plots, strip plots, and pairplots for deeper statistical insights.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Data Visualization with Julia

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Advanced Data Visualizations: 10 Uncommon Plot Types and How to Use Them

110 ratings at LinkedIn Learning

Learn about 10 types of graphs that you might not encounter in regular practice, why these advanced graphs are needed, and what their advantages and disadvantages are.

• LinkedIn Learning
• 47 minutes
• On-Demand
• Free Trial Available

Python Seaborn Complete Tutorial for Beginners

Master data visualization with Python's Seaborn library. Learn to create scatter plots, line charts, box plots, and more through step-by-step tutorials and practical examples.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Intro to Seaborn

Comprehensive video series on Seaborn data visualization library, covering various plot types, styling options, and advanced features for effective data representation in Python.

• YouTube
• 5 hours
• On-Demand
• Free Video

Seaborn Python Tutorial

Learn data visualization with Seaborn: create scatter plots, line charts, and distribution plots. Master regression models, FacetGrid, and color palettes for effective data analysis and presentation.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Great Learning

Matplotlib Python Tutorial

Learn data visualization with Matplotlib in Python. Master various plot types including line, bar, scatter, histogram, and pie charts to effectively represent and analyze data.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Shashank Kalanithi

The Google Guide to Exploratory Data Analysis - With Code

Learn to apply Google's Exploratory Data Analysis guide using productivity data, covering data cleaning, visualization, and statistical techniques for insightful analysis and feature selection.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Venelin Valkov

Data Visualization Tutorial for Beginners with Matplotlib in Python - Exploratory Data Analysis

Explore fundamental data visualization techniques using Matplotlib and Seaborn in Python. Learn to create histograms, box plots, violin plots, bar charts, line charts, scatter plots, and more for effective exploratory data analysis.

• YouTube
• 32 minutes
• On-Demand
• Free Video

School of Chemoinformatics in Latin America

Integration then Interrogation: Exploratory Data Analysis on a Deadline - 2022

Explore strategies for efficient exploratory data analysis, focusing on visualization techniques, predictive modeling, and practical constraints in chemical biology datasets.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Interactive Statistical Data Visualization 101

Explore interactive statistical data visualization using Plotly Express. Learn to create box plots, histograms, heatmaps, density maps, contour plots, and violin plots for practical applications in banking, finance, and tech.

• Coursera
• 2 hours 10 minutes
• On-Demand
• Paid Course

Great Learning

Python for Data Visualization in Hindi - Data Visualization - Python Tutorial

हिंदी में पायथन का उपयोग करके डेटा विज़ुअलाइज़ेशन सीखें। विभिन्न प्रकार के प्लॉट बनाने के लिए मैटप्लॉटलिब और सीबॉर्न लाइब्रेरी का उपयोग करें, जैसे लाइन, बार, स्कैटर, हिस्टोग्राम और बॉक्स प्लॉट।

• YouTube
• 1 hour 37 minutes
• On-Demand
• Free Video

Exploratory Data Analysis with Seaborn

443 ratings at Coursera

Explore breast cancer data using Seaborn for visualizations. Learn to create histograms, violin plots, box plots, and heatmaps. Customize aesthetics and apply faceting methods for higher-dimensional data analysis.

• Coursera
• 1 hour 15 minutes
• Finished
• Paid Course

Visualization for Statistical Analysis

15 ratings at Coursera

Learn essential visualization techniques for statistical analysis using the Palmer Penguins dataset. Explore histograms, scatter plots, box plots, and more to effectively present and interpret data.

• Coursera
• 2 hours
• Finished
• Paid Course