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.
Overview
Syllabus
- Lesson 1: Deep Exploration of the Titanic Dataset: Features and Characteristics
- Lesson 2: Diving into Descriptive Statistics of The Titanic Dataset
- Lesson 3: Extending Data Visualization: Enhancing Plots and Analyzing with Matplotlib
- Lesson 4: Unleashing Aesthetics in Visualization: An Introduction to Seaborn's Styling Capabilities
- Lesson 5: Visualizing Distributions with Histograms Using Seaborn
- Lesson 6: Visualizing Categorical Relations with Bar Plots
- Lesson 7: Exploring Multivariate Relationships: Scatter Plots and Correlations in Data Visualization
- Lesson 8: Analyzing Relationships between Passenger Class, Fare, and Survival with Box Plots
- Lesson 9: Unlocking Insights with Heatmaps: Correlation Analysis in Data Visualization
