Data Analytics

Introduction and Guide to Data Science, Analysis, Artificial Intelligence and Machine Learning

De: Markus Schellander

Narrado por: Chris Johnson

Duración: 4 h y 3 m

Resumen del Editor

If you want to learn and completely understand the essentials of deep learning, data analysis, machine learning, and artificial intelligence, then keep reading...

Have you ever wondered how your smartphone's personal assistant works? Do you want to finally crack the code to machine learning and artificial intelligence but don't know where to begin?

If yes, then this guide is for you.

In this guide, Markus Schellander shows you everything you need to know about data analytics, machine learning, artificial intelligence, and its huge impact in our fast-moving world of today, as well as how to position yourself to benefit massively from it in the future.

In Data Analytics, you're going to uncover tons of eye-opening insights, such as:

• The basic seven-step process of data analysis to be aware of if you want to become a competent data scientist
• Basic and advanced data analytics tools you can use for efficient business intelligence
• Three powerful case studies showcasing the power that proper data analysis has to transform businesses and organizations
• What artificial intelligence is, how it works, why it is important, and how it would shape the future
• Powerful use cases of artificial intelligence that makes it such a good idea
• The ultimate guide to machine learning as well as how to get started with it and choose the perfect algorithm for use
• ...and much more!

Whether you're new to the world of programming and are looking for clarity on what direction to take, or you're simply curious about what machine learning, AI, and big data has in store for the future and want to prepare for it, this guide makes it easy to actually understand implement machine learning and data analytics effectively.

Ready to start your journey into big data and machine learning? Scroll up and purchase to start learning today!

©2019 Markus Schellander (P)2019 Markus Schellander

Excellent book if you are a beginner

This is a learning book in the step-by-step sense. You will learn enough to do the basics within the areas covered in the book, but complex stuff will probably require more research or a different book.

Nice Book in the field of Big Data Science

This book is a very sensible and easy approach for anyone interested in the field of data analytics. I covers the broad areas that Data analytics such as tools that can be used and the overall application of data analytics.

Thanks to the author for creating this book.

It is one of the best books I have seen on analytics.
The example used is from day to day life, which definitely helps to understand the complexity.

Lean Startup Keeps Growing Up.

I had to get this book for a class, but I like it. Easy to listen, fun way. I know I'll be doing this often.

It is simple and easy to understand the basic Data

I found this audiobook to be an excellent medium for a better understanding of the data science field.
The author has a way to drill into complex ideas with simple and clear explanations.

Amazing book for Data Analytics

This book was the perfect set of training wheels for me, especially since my main goal was to operate on economic and financial data.

Great and concise book on Data Analytics.

This is a wonderful book for anyone in the field of Data, best for the beginner, and even better for someone in the field of data science.

A good introduction to data analysis

A good introduction to data analysis using python, especially the pandas library and some numpy and scipy.

Narrator Can't read well

Many mispronounced words "conductive" instead of conducive and the like. Narrator also lost place while reading, starting over midsentence. The written material itself seems clear and applicable, but sufferable to listen to sometimes in this form

This is a great book for beginners to advance use

I'm getting my feet wet with Python and Python for Data Analysis. This is a great book for beginners to advance users who want to explore and learn Data analysis using Python.