In this training, we examine UFO sightings through a Python data visualization project. CodingNomads Data Science mentor Cagdas Yetkin discusses a brief history of data visualization. He also explores how to build a Python Data Visualization project using tools like Pandas, Matplotlib and Seaborn. With this data you can see trends and possible conclusions around UFO sightings.
Chapters:
0:00 - Intro
1:49 - Why is Data Visualization important?
3:07 - About the speaker - Cagdas Yetkin, Data Scientist
4:00 - Recommended reading for Data Visualization
5:00 - Data Visualization throughout history until today
9:36 - How to approach your Python Data Visualization project
17:36 - Step-by-step process of building a Python Data Visualization project to analyze UFO sightings
27:00 - Functions of the prep UFO data
29:01 - Exploring questions then coding for the answers
33:30 - Finding the top 5 cities of UFO sightings in a bar chart
41:25 - Finding the time of UFO sightings in a line chart
48:03 - Extracting the weekdays from the time of sightings
55:28 - Recap of the process
58:08 - Q&As
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