Python for Data Science: A Guide to Learn in Depth How to Use This Programming Language to Reorder Data While Remaining Focused on Your Specific Purposes.

by Dylan Penny

Data Science is one of the major buzzwords in the business realm today. Most people know the value of gathering data. However, the real question is, what’s the next step? Keep in mind that data science is composed of various steps. It involves gathering the data and cleaning them if they come from more than a single source. You need to assess them, apply machine learning models and algorithms , and then present your findings from analysis with decent data visualizations. That’s what you will learn inside "PYTHON FOR DATA A GUIDE TO LEARN IN DEPTH HOW TO USE THIS PROGRAMMING LANGUAGE TO REORDER DATA WHILE REMAINING FOCUSED ON YOUR SPECIFIC PURPOSES" . You will discover the crucial steps required to properly execute data science strategies and algorithms, which will help you sort through the data and see incredible results. Here’s a quick peek of what you will find inside this …And so much more! By the end of this book, you will have the essential knowledge and skills to utilize machine learning algorithms to conduct thorough data analysis and etract relevant insights from unstructured data. So, what are you waiting for? Grab your copy of this book by clicking the BUY NOW button and learn how to get the best from Python for data science!

95 pages, Kindle Edition

Published January 1, 2021

Reviews

[Jennifer Mielke · Rating 4 out of 5]

This will get you up and going with Python

This book focuses on how Python can be used for data science. I liked that the book had such a narrow focus. This made it easy for the reader to see the applicability of the subject matter. Right away the reader can see how this information and skill set can be used in the real world. I liked the author's style. He came across as knowledgeable and relatable. His style was very easy to follow and understand. I think that is very important. Too many technical books get bogged down in techy jargon, and this book does not do that at all. I would recommend this book if you have data science programming needs.

[Carolyn J Neer · Rating 4 out of 5]

More in depth information

I would suggest reading/using a beginner book if you aren’t familiar with the basics of Python, but this is a great book to take your learning to the next level.