ridhigrg

...

Full Bio 
Follow on

Today's Technology-Data Science
249 days ago

How to build effective machine learning models?
249 days ago

Why Robotic Process Automation Is Good For Your Business?
249 days ago

IoT-Advantages, Disadvantages, and Future
250 days ago

Look Artificial Intelligence from a career perspective
250 days ago

Every Programmer should strive for reading these 5 books
577923 views

Why you should not become a Programmer or not learn Programming Language?
236259 views

See the Salaries if you are willing to get a Job in Programming Languages without a degree?
151737 views

Highest Paid Programming Languages With Highest Market Demand
136536 views

Have a look of some Top Programming Languages used in PubG
130968 views

Data Science Python Big Data Data Scientists Statistics Data Coding Neural Networks

Data Science degree adds value to your career. But how?

By ridhigrg |Email | Aug 26, 2019 | 9522 Views

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 Tree

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.

With the use of big data, US healthcare could reduce their health-care spending by $300 billion to $450 billion.

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.

  • 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 and cleaning
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 in the healthcare industry, why wait to jump in?

Source: HOB
Previous Story Next Story