Intro to Time Series Analysis with Airline Data

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.

Pandas

Python

Seaborn

See path

5 lessons

26 practices

Less than 4 hours

Course details

Exploring the Seaborn Flights Dataset: An Initial Glimpse

Preview

Exploring the Flights Dataset: First Impressions

Slightly Shifting our Spaceship: Adjusting our View on Flight Data

Navigating Through the Turbulence: Dataset Entry Count Issue

Navigating the Cosmos: Total Entries and Dimensions of the Airline Dataset

Flight Data Exploration: Final Takeoff

Previous Course Next Course: Intro to Data Cleaning and Preprocessing with Titanic

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Intro to Time Series Analysis with Airline Data

Course details

Turn screen time into skills time

Join the 1M+ learners on CodeSignal

From our community

From our community

Intro to Time Series Analysis with Airline Data

Course details

Unit 15 practices38 min

Unit 25 practices38 min

Unit 35 practices38 min

Unit 45 practices38 min

Unit 56 practices44 min

Turn screen time into skills time

Join the 1M+ learners on CodeSignal

From our community

From our community