Udemy - Learn Pandas (Python 3) And Become A Data Ninja


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Torrent Hash : B7034010330E437D90A9DB18A732601F9ACF6D05
Torrent Added : 1 Year+ in Other - Other
Torrent Size : 179.63 MB


Udemy - Learn Pandas (Python 3) And Become A Data Ninja
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Torrent File Content (4 files)


Learn Pandas (Python 3) And Become A Data Ninja
     TutsGalaxy.com.txt -
41 bytes

     Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt -
59 bytes

     Read Me.txt -
80 bytes

     Learn Pandas (Python 3) And Become A Data Ninja.zip -
179.63 MB



Description



Miscellaneous

Description

Learn Pandas (Python 3) And Become A Data Ninja introduces you to the Pandas module/library. It has very quickly grown in functionality, to the point that more companies are relying on it for their data analysis needs. As a result, many of these companies need a data ninja! An expert in data and data analysis!

Let me tell you what you will learn. In the Intro to Pandas section, you’ll learn about the two objects that are the basis of pandas. (Series and DataFrame). In the prepare your data section, I show you how to read .csv and xlsx files, combine dataframes, how to deal with missing data, how to merge, how to order your columns, and much more. In the Time Series section, I go over some time related classes (TimeStamp/DatetimeIndex), how to covert to timestamp, and how to read (pd.read_csv) when dealing with time related data. In the visualization section, you’ll learn how to make a scatter plot and pie plot. Finally, I will also introduce you to Numpy.

Finally, you have nothing to lose. No risk! You get a 30 day money back guarantee + the course for life (including any new content added after you enroll)!

Enroll now! Your future looks brighter with Pandas (Python 3).
Who is the target audience?

Beginners who have little experience with programming or data analysis.
Individuals who have experience with other data analysis software/languages (ie SAS), and now want to know another!

Requirements

No prior knowledge is necessary, this is a beginner course.
Desire to learn

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