Learn Pandas (Python 3) And Become A Data Ninja Free Download
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Learn Pandas (Python 3) And Become A Data Ninja, FreeTuts Download

Learn Pandas (Python 3) And Become A Data Ninja, FreeTuts Download

Learn how to utilize the pandas module for Python, and become a data ninja, an expert in data analysis!

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 loseNo 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!
Read more course:  Learning Path: Functional Programming for PHP 7 Developers

Info Tutorials/Courses

Includes
  • 1.5 hours on-demand video
  • 6 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • [Size: 179.6 MB]

Download Tutorials/Courses

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Password : freetuts.download

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About the Author: Ho Quang Dai

I am Ho Quang Dai. Looking forward to receiving positive contributions from readers

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