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To view and download the script: https://colab.research.google.com/drive/1deRYCSFG8h0Jws_2vvejSnYkm0wjbZIu?usp=sharing
Data literacy is one of the most relevant skills for professional success. One tool at your disposal is Python, which is fairly easy to learn and enables you to analyze data with simple functions.
In this video, I show you how to kick off an analysis with Python, using the Pandas and Seaborn libraries. You will learn how to load data, how to look at simple statistics like mean, median, and standard deviations. You will also learn how to visualize using histograms. In the end, we will do a correlation of selected variables and visualize using a heatmap.
Intro (0:00)
Starting Colab (1:00)
Libraries (2.01)
Load data (4:20)
Inspect data (5:25)
Summary Statistics (7:21)
Histogram (9:52)
Correlation MAtrix (11:01)
Outro (16:22)