Python for Data Science: The latest Guide For The Novice Data Scientist

Many companies spend a lot of time collecting data and trying to use them to learn more about their customers and learning how to gain a competitive edge over others. Just gathering the data is not going to be enough to make it happen. Instead, we need to be able to take that data, and that data is usually pretty messy and needs some work and analyze it so that we are better able to handle all that comes with it.

Data has always been relevant, but today, because of the growth in the internet and other sources, there is an unprecedented amount of data to work through. In the past, companies were able to manually go through the data they had and maybe use a few business intelligence tools to learn more about the customer and to make smart decisions. But nowadays this is nearly impossible.

Evolving technologies are going to enable some cost savings for us, and smarter storage spaces to help us store some of this critical data. However, currently, in almost any industry and company, there is a huge need for skilled and knowledgeable data scientists. They are some of the highest-paid IT professionals right now, mainly because they can provide such a good value for the companies they work for, and because there is such a shortage in these professionals.

This book covers:

What is Data Analysis?
The Basics of the Python Language
Using Pandas
Working with Python for Data Science
Indexing and Selecting Arrays
…And Much More!