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Getting started with Anaconda Notebooks
Course Overview and Learning Objectives
Collecting and Cleaning Data
Bird Strike Dataset
Basic Cleaning
Saving Our Data
Exploring Data Sources
Exercise: Choosing Features
Finding Missing Values
Categorical and Numerical Variables
Converting Dates and Times
Converting Numeric Data
Converting Categorical Data
Exercise: Filtering Airport Codes
Height Variable
Phase of Flight Variable
Speed Variable
Outliers: Interquartile Range (IQR) and Percentiles
Outliers: Interquartile Range (IQR) and Percentiles Continued
Standard Deviation Outliers
Exercise: Analyze Variables
Comparing Height to Speed
Comparing Variables to Distance
Predictor Variables
Multivariate Analysis
Multivariate Analysis Continued
Exercise: Speed Cost Analysis
Bird Strike by Date
Bird Strike by Date Hypothesis
Bird Strike by Time of Day
Exercise: Day-of-Week Analysis
Basic Map Using Geopandas
Provinces and States
Exercise: Bird Strikes
Summary
End of course survey
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