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Python Data Science

The Ultimate Crash Course for Data Analysis (Computer Programming, Book 2)

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Python Data Science

By: Mark Solomon Brown
Narrated by: Kevin Liang
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Do you want to learn Python programming and enter the world of data science and researching? If your answer is “yes“, then this Python guide will be a perfect match to you. All you need to do is to keep listening...

Python Data Science: The Ultimate Crash Course for Data Analysis is a step-by-step guide for those who want to start programming by using Python for their projects and to make their researching activities much easier. The guide will introduce you to the basics of this programming language, and you will have the chance to learn how to use and code in Python with matched libraries, easily and effectively.

You will gain knowledge about the data science world and artificial intelligence. Most importantly, you will get awesome tips and tricks about how to enter in the world of the most popular machine learning with the help from Python related to your desires and expectations!

You will learn:

  • Step-by-step Python programming introduction
  • The importance of using Python
  • Clear understanding of data science
  • Steps to start using Python programming as a data scientist
  • Explanation of the descriptive statistics
  • Data mining and data visualization
  • And much more...

Are you still having trouble understanding why data science is important today? Don’t worry anymore! Even if that makes you frustrated, this guide is the perfect solution for your headache, and you can easily learn what you should do if you want to be a successful data scientist using the Python programming language as a main tool for your researching activities and data collecting processes.

Would you like to know more? Scroll up and click the “buy now” button to get the audiobook!

©2019 Mark Solomon Brown (P)2020 Mark Solomon Brown
Programming & Software Development Data Science Machine Learning Computer Science Artificial Intelligence Programming Technology
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