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Data science dug its roots deep in this digital world since 2010. Businessmen started to understand the use and importance of Data Science in their business. Data Science is the future of Artificial Intelligence. Traditionally, the data used to be in a structured format which could be understood by using simple Business Intelligence {BI} Tools. But gradually, the data has been changed into an Unstructured format. 

in Programming by (108 points) | 406 views

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The Data has been generated from various sources like Text files, Financial logs, Multimedia Forms, etc. Data Science Tools will enable the user to easily understand derive real meaning from the data. Collecting proper data and transforming it into rich analysis is the key point to every Data Science strategy. Data science tools can reduce the errors and duplications and ensures accuracy of data and preserve the integrity of the data.

There are many tools of Data Science. Some of them are below.

Python

Apache Giraph

Apache Hadoop

Apache Storm

R

Tableau

Keras

Clojure

DataRobot

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by (108 points)
+135 votes
A Data Scientist is responsible for extracting, manipulating, pre-processing, and generating predictions out of data. In order to do so, it requires various statistical tools and programming languages.

Here is the list of the best data science tools that most of the data scientists used.

SAS

Apache Spark

BigML

D3.js

MATLAB

ggplot2

Tableau

Jupyter

Matplotlib
by (1.0k points)