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Data Analytics With Python | Data Analysis With Python | Data Analytics For Beginners | Simplilearn

https://youtu.be/W1dzfYW4-KQ
In this series of videos, Richard Kirschner covers the basics of Data Analytics using Python, including what it is, its applications, types, process steps, and why Python is used for it. He also provides examples of how Data Analytics is used in various industries. He explains how to use the Jupyter Notebook to create interactive visualizations, how to manipulate numpy arrays, and how to use the pandas and numpy libraries to read and analyze a csv file. He also demonstrates how to use a box plot, pair plot, and heat map to view trends in data, as well as how to plot a histogram and use a heat map to visualize the correlation between variables. He encourages viewers to visit www.SimpleLearn.com to get certified and to post questions in the YouTube comments.
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