This data-heavy course focuses on trends and patterns in air travel history. Using complex visualizations and time series analysis, you will learn about growth trajectories and seasonal fluctuations in the air travel sector.
Overview
Syllabus
- Lesson 1: Exploring the Seaborn Flights Dataset: An Initial Glimpse
- Lesson 2: Guiding Through Air Travel Using Line Plots: An Introduction to Trend Analysis in Python
- Lesson 3: Analyzing and Visualizing Seasonal Fluctuations with Python
- Lesson 4: Unveiling Heat Maps for Monthly Data Analysis in Python
- Lesson 5: Predicting Air Travel Trends with Linear Regression
