Data Science: 2 Manuscripts in 1

Complete Guide to Learning Data Science Process & What You Need to Know About Machine Learning with Python

De: David Park

Narrado por: Matthew Kinsey Shane Makena

Duración: 6 h y 42 m

Resumen del Editor

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

The audio book is a complete guide to Data Science

The audio book is a complete guide to Data Science of In Beginners. From it you will find beautiful ideas about Python Programming,

This audio book is truly astounding.

This audio book is truly astounding. I am completely happy with this audio book. This audio book entirely reasonable for amateurs. I exceptionally recommended this audio book to everybody.

A top level view of machine learning

This is a great audiobook that gives a top level view of machine learning and data science. It is particularly useful for non-technical listeners who need to have a need to know the lingo for being able to follow conversations around the topic. It is also a great introduction for technical people who have never worked in data science before.

Extremely useful

Extremely useful and thorough, from the perspective of a business person whose business involves overseeing and delivering analytic products. Gives you the details, insights, underlying principles, and a glimpse but not the full set of math that would be necessary to actually be a practitioner.

The audio book's beginning was amazing.

The audio book's beginning was amazing. The audio book is straightforward and easy to listen and understand.

Very well explained crash course

This audiobook enables me to do that. It felt like a very well explained crash course on the ideas behind the different methods and the math to them. Coming from a business perspective, i had to learn the math part pretty quickly.

The audio book is structured very well.

This audio book has given me a lot of information. The audio book is structured very well. I'm delighted to read this novel.

A high level overview this audiobook

The title of the audiobook is appropriate as it is not just about analyzing data, but figuring out the business case. If you are new to Data Science or looking to get a high level overview this audiobook is an great place to start.

This is a great book for both beginners and expert

This is a great book for both beginners and experts. Gives an overview and in depth of the concepts on a broad level. This will help with the theoretical knowledge however the concepts can be implemented using any programming language like python

DS4B breaks down data science concepts.

DS4B breaks down data science concepts into terms business leaders can understand and apply. It carefully separates the concepts from the math theory in a way that engages both the casual and technical listeners. It was a much better high level discussion than I have seen elsewhere, and they mentioned possible pitfalls of the expected value framework.