CASE STUDY: FASTEST AIRLINES $($PART $1)$

$1.$ Objectives

The purpose of this study is to become familiarize with Python to perform basic data analysis.

There are many ways to assess the quality of an airline. You will learn how to assess airlines

based on historical flight data. In the first part of the case, we will determine which airline is the

fastest based on flight time calculations. In the second part, we will develop a predictive model to

determine the likelihood of delays using what you$$ve learned from the lecture.CASE STUDY: FASTEST AIRLINES $($PART $1)$

$1.$ Objectives

The purpose of this study is to become familiarize with Python to perform basic data analysis.

There are many ways to assess the quality of an airline. You will learn how to assess airlines

based on historical flight data. In the first part of the case, we will determine which airline is the

fastest based on flight time calculations. In the second part, we will develop a predictive model to

determine the likelihood of delays using what you$$ve learned from the lecture.CASE STUDY: FASTEST AIRLINES $($PART $1)$

$1.$ Objectives

The purpose of this study is to become familiarize with Python to perform basic data analysis.

There are many ways to assess the quality of an airline. You will learn how to assess airlines

based on historical flight data. In the first part of the case, we will determine which airline is the

fastest based on flight time calculations. In the second part, we will develop a predictive model to

determine the likelihood of delays using what you$$ve learned from the lecture.