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CodeSignal

Intro to Data Visualization with Titanic

via CodeSignal

Overview

An in-depth advanced course dedicated to mastering data visualization techniques using Python, Matplotlib, and Seaborn. You will get to work with a real-world Titanic dataset and explore critical aspects of data representation and interpretation.

Syllabus

  • Lesson 1: Deep Exploration of the Titanic Dataset: Features and Characteristics
    • Exploring the Titanic Dataset with Pandas Functions
    • Diving Deeper into Titanic Dataset Rows
    • Debugging Titanic Dataset Exploration
    • Exploring Unique Entries in Titanic Dataset
    • Exploring Unique Values of 'Embarked' in Titanic Data
    • Exploring Titanic Dataset: Add Missing Code Pieces
    • Exploring the Titanic Dataset from Scratch
  • Lesson 2: Diving into Descriptive Statistics of The Titanic Dataset
    • Exploring the Titanic Dataset with Descriptive Statistics
    • Applying Descriptive Statistics to Different Column
    • Debug the Descriptive Statistics Calculation
    • Calculating Median and Mode for 'Age' in the Titanic Dataset
    • Generating Descriptive Statistics for the Titanic Dataset
    • Adding Descriptive Statistics and Calculating the Interquartile Range for Age
    • Exploring Age Statistics in the Titanic Dataset
  • Lesson 3: Extending Data Visualization: Enhancing Plots and Analyzing with Matplotlib
    • Visualizing Gender Distribution in the Titanic Dataset Using Matplotlib
    • Exploring Passenger Class Distribution
    • Plotting a Course Correction: Fixing Bar Chart in Pandas
    • Discovering the Distribution of Titanic's Passenger Classes
    • Crafting the 'Sex Distribution' Bar Plot
  • Lesson 4: Unleashing Aesthetics in Visualization: An Introduction to Seaborn's Styling Capabilities
    • Visualizing the Data with Aesthetics and Styling through Seaborn
    • Changing the Variable for the Count Plot
    • Debugging Seaborn Countplot Generation
    • Craft Your First Seaborn Plot
    • Styling and Customizing a Seaborn Countplot from Scratch
  • Lesson 5: Visualizing Distributions with Histograms Using Seaborn
    • Visualizing Age Distribution with a Histogram in Seaborn
    • Refining Age Distribution with Granular Bin Widths
    • Fix the Histogram Plotting Code
    • Creating a Histogram with KDE for Age Distribution
    • Adding Titanic Passengers' Age Distribution to Seaborn Histograms
    • Creating a Histogram with KDE for Age Distribution in Titanic Dataset
  • Lesson 6: Visualizing Categorical Relations with Bar Plots
    • Visualizing Gender and Survival Rates with Bar Plots
    • Tweaking the Code: Visualizing Passenger Class and Survival Correlation
    • Correcting The Survival Rate Visualization
    • Adding and Displaying a Countplot in Seaborn
    • Mastering Bar Plots for Categorical Relations
  • Lesson 7: Exploring Multivariate Relationships: Scatter Plots and Correlations in Data Visualization
    • Visualizing with Scatter Plots: Age vs Fare in Titanic Dataset
    • Changing Marker Style in Scatter Plot
    • Fixing the Scatter Plot for Titanic Dataset
    • Adding Scatter Plot and Correlation Matrix Calculation
    • Implementing Scatter Plot and Correlation Functionality
    • Scatter Plot with Extra Dimensions and Correlation Calculation
  • Lesson 8: Analyzing Relationships between Passenger Class, Fare, and Survival with Box Plots
    • Exploring Ticket Fares and Passenger Classes Using Box Plots
    • Switching Orientation of Your Box Plot
    • Fixing Passenger Class Analysis with Box Plot
    • Constructing Seaborn Box Plots with Titanic Dataset Survival Analysis
    • Box Plot Creation and Customization
    • Unveil the Relationships: Constructing a Box Plot for the Titanic Dataset
  • Lesson 9: Unlocking Insights with Heatmaps: Correlation Analysis in Data Visualization
    • Discovering Correlations with a Heatmap
    • Creating a Heatmap with a Custom Color Map
    • Correcting the Heatmap Visualization
    • Adding Heatmap for Correlation Matrix
    • Visualizing Correlation Matrix using Seaborn Heatmap
    • Creating a Heatmap for the Titanic Dataset Correlation Matrix

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