There's a growing need for data, the world is beginning to depend on it more than ever and as demand grows so does the market of individuals that wish to learn how it works and hone or better still, acquire and improve on skills in this fast paced industry.

Data science obviously is no small business and it's definitely not as easy as it seems-like some science class in high school- this is because there is an innumerable amount of texts that have surfaced online to provide quick means to understanding how data science works without effectively doing what they say.

This book combines the knowledge of coding and mathematics to make any dummy a pro in little time with the steps duly followed thus:

Firstly a knowledge in coding is key to an future in data science and python is the mother language for most programs and features of data science from the easy charts to the complex algorithms.

After python, the book can now be used in focus for full effective learning. Statistics is basically maths of grouping and therefore is important because data of course comes in groups or packets. Sometimes in bits and others in multitudes, so this book gives insight on how to handle simple statistics. Yes, even if you're not good at math.

The Introduction to Machine learning with python is a juicy bite Into the various possibilities that python provides which of course machine learning is a key focus in the book although there are components like Artificial Intelligence but it stems from this primarily-teaching machines how to think and act like humans.

Humans normally can only handle so much data but machines are more effective than we are because they are faster and can work on hundreds and thousands of things at once.Python for data analysis is an extensive application how to use python in executing programs that collect, process, arrange and analyse the data acquired from various sources. It's a straightforward approach but has a step by step breakdown for even eleven year olds to learn.Python and Data science are mother and daughter. One can't exist without either because python circulated around data collection and execution.

That's how Artificial intelligence systems and Internet of Things came to be; wireless technology, cloud technology, and a host of others are products of data science, studying how machines work, interact and to teach them even more human functions.In retrospect, statistics is a part of data science that exist with just the math and no coding so it's boring.

But statistics with coding is the true data science that opens a door to a wide range of possibilities with lines of code and a dream.