Journey into Data Science with PythonIntro to Data Visualization with Titanic

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.

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

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

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

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

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

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

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

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