Python Data Science: An essential crash course made accessible to start working filled with essential tools, tecniques, concepts that helps you learn Python Data Science

Programming Languages Project

ISBN 10: 1702759377 / ISBN 13: 9781702759373

Published by Independently published, 2019

About this Item

Seller Inventory # ABLIING23Mar2912160032328

Bibliographic Details

Title: Python Data Science: An essential crash ...

Publisher: Independently published

Publication Date: 2019

Binding: Soft cover

Condition: New

About this title

Synopsis:

Are you ready to gain a competitive edge over other companies in your industry jumping onto trends before anyone else even knew they were a possibility?

Do you want to make sure that your product development ends up with something that is going to be an instant success on the market, rather than something that fails?

Could your company stand to improve customer satisfaction, less time wasted, and more efficiency?

If any of these questions sound like something that you would like to see improved in your business, and you feel like this lack is harming your business, then it is time to take a look at what data science can do for you! With the help of collecting lots of information about the industry and economy around you, as well as about your customers, you can find powerful insights that will propel your business to the top.

This guidebook is going to provide you with all of the information that you need to learn more about data science, what this process is all about, and how you can use the Python language to put it all to work for you! Even if you have no idea how to program or any idea of what to do with all of that data you have been collecting, this guidebook will give you all of the tools you need to be successful!

Some of the exciting topics that we are going to explore in this guidebook concerning Python data science includes:

• What is data science?

• Some of the basics of the coding language, including how to download the code and the basics of coding for the first time.

• Some of the best Python libraries to use with data science including Jupyter Anaconda, Pandas, and WinPython.

• The common tasks that we can complete with data science.

• The difference between structured and unstructured data and when to use each of these.

• What will happen with data science and where it will take us from here in the future.

Working with data science is becoming even more prevalent as the years go on, and businesses all over the world, and in many different industries, are using this to help them see more success. Whether you want to make predictions, provide better customer service, or learn other valuable insights about your business, data science with the help of Python, can make this happen. When you are ready to see what Python data science can do for your business, make sure to check out this guidebook to get started.