Python for Data Science: A Beginners Guide to Learn Data Science Process With Python Programming Language. A Practical Approach to Key Frameworks in Data Science and Machine Learning.

Branson, Mark J.

ISBN 10: 1710347872 / ISBN 13: 9781710347876

Verlag: Independently published, 2019

Beschreibung

Print on Demand.

Bestandsnummer des Verkäufers I-9781710347876

Bibliografische Details

• Titel: Python for Data Science: A Beginners Guide to Learn Data Science Process With Python Programming Language. A Practical Approach to Key Frameworks in Data Science and Machine Learning.
• Verlag: Independently published
• Erscheinungsjahr: 2019
• Sprache: Englisch
• ISBN-10: 1710347872
• ISBN-13: 9781710347876
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

Big data is taking over the world of business. No matter what industry you are in, big data is going to help provide the best customer service, can help you with data-driven business decisions, propels you into the future, and makes it easier to beat out the competition with many of your endeavors. But it is not enough to just collect all of this data and hope it will give you all of these benefits. Instead, we need to bring data science into the mix to make sure that we get the right predictions and insights out of that data to really help improve our business. 

Data science is a term that you may have heard before, but do you really know what it all means, and how to get started? This guidebook is going to take some time to explore the various parts of data science, and why it is so beneficial to so many industries. We will also go through the steps that you need to take all of your data, analyze it, and get the right insights in no time. Some of the topics that we will explore in this guidebook concerning data science includes:

    • What is data science and how to create a good environment for data science.

    • Learning more about machine learning and how this comes together with data science.

 
    • Common tasks that data science is able to help out with. 
 

    • Privacy and ethical concerns that we have to consider when it comes to data science. 

    • The future trends to watch out for when it comes to data science. 

    • A look at the Python coding and how it works, as well as how it can help with data science. 

    • Some of the best Python libraries that can help you out with data science.

 
    • Some of the terms that you should know when it comes to working with data science, machine learning, and Python all rolled into one. 

    • Some practical examples and illustrations that can help you put data science to work for you. 

There are so many benefits that come with data science and how you are able to use all of that great data to help bring your business to the future with smart decision making. When you are ready to actually work with data science along with machine learning and Python, to see how data can benefit your company. So why are you waiting? BUY NOW this book .