Data Science from Scratch

Complete Guide to Learning the Data Science Process & What You Need to Know About: Analytics, Mining, Structures, Management, Driven, Privacy

By: David Park

Narrated by: Matthew Kinsey

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.

The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. A recent report explained that the need for these scientists has increased by more than 50 percent since last year. These scientists often referred to as big data wranglers, are a perfect blend of mathematician and computer scientist.

Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science. Amount of data that is collected by these companies are without any bounds. Semi-structure to big unstructured data is stored in large frameworks of these companies. Now the question is how to use this.

What you will gain as knowledge in this audiobook:

• Why Is Data Science Widely Used?
• Why Should You Study Data Science?
• Why Should One Consider Data Science As A Career?
• Data Science: An Exciting Career Option
• Types of Data Loss and Recovery Options
• Data Science and Its Wide Range of Applications
• What Are the Programming Languages Required for Data Science?
• Meaning of Data Science in Depth
• 4 Weird Ways How Data Is Used Around the World
• 5 Reasons Why Data Science Could Be the Advertising Wave of the Future

It is a field where one should be trained and practiced. Without proper training and applicative skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.

©2020 David Park (P)2020 David Park

Ultimate guide for data science.

This audio book gives an ideal and complete comprehension of the theme.The audio book gives a basic and more profound understanding.

It's usually much easier to understand

The phrase "from scratch" made me think this was a beginner book, but it's not really. It builds step-by-step from first principles to quite advanced algorithms and topics. For me, it's usually much easier to understand a mathematical or statistical concept if I can implement it or see it implemented in code, and so I found the approach taken here very effectively.

Good data science primer

This audio book covers core concepts in data science in an easy to listen manner. Infrastructure for handling big data and the data science ecosystem are introduced along with Machine Learning basics and some useful concepts at a high level.It is very good audio book.

Great Book.

This book step by step guide was very helpful. its a great book i think.I am glad to purchase this book.
its provide a good information. It has a vast information to change anyone.I really liked the book.
I dont think we should worry about information. I recommended highly this book for everyone.

Well explained, easy to digest and informative

This is a great book-- well explained, easy to digest and informative. I've been in Data Mining and Statistical Analysis for a little over a decade now; I was looking for a book to share with my team to ensure we were all up-to-speed on some foundational concepts: this book is it. EDIT: I also forgot to mention, it has probably the best get-up-and-running in Python introduction I've seen