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Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees
Author:
Steven Cooper
Read by:
Cris Neeten
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Narrator
Release Date
December 1, 2022
Duration
4 hours 50 minutes
Summary
If you are looking to start a new career that is in high demand, then you need to continue reading.
Data scientists are changing the way big data is used in different institutions.
Big data is everywhere, but without the right person to interpret it, it means nothing.
So where do business find these people to help change their business?
You could be that person.
It has become a universal truth that businesses are full of data.
It can easily be seen that the value of big data lies in the analysis and processing of that data, and that’s where data science comes in.
Data Science from Scratch includes:
• In depth information about what data science is and why it is important.
• The prerequisites you will need to get started in data science.
• What it means to be a data scientist.
• The roles that hacking and coding play in data science.
• The different coding languages that can be used in data science.
• Why python is so important.
• How to use linear algebra and statistics.
• The different applications for data science.
• How to work with the data through munging, cleaning, and more.
• And much more.
The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.
As businesses and the internet change, so will data science. This means it’s important to be flexible.
When data science can reduce spending costs by billions of dollars, why wait to jump in?
Get fit, happy, and stress-free life by ordering your copy right away! Don’t miss out on this Data Science from Scratch audiobook!
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Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees
Author:
Steven Cooper
Read by:
Cris Neeten
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