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Data Science : The buzzword

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  1. Introduction
  2. Data vs Insight
  3. Data Science
  4. Traditional Programing vs Data Science
  5. NLP
  6. Computer Vision

We hear more and more about data science, it is the buzzword in companies, universities and even social networks …that’s why you have to read about it.

Data Science is simply a multi-disciplinary field where the goal is to use data to solve a real problem or provide value.

The main goal of data science is to extract insights from data

So it is first necessary to know the difference between these terms “data” and “insight” :

Insight = data interpreted

The main goal of the data science field is to extract relevant information from raw data in order to solve a real problem

So Data Science is something like that, use the data to get relevant information.

Data science is a multidisciplinary field that uses methodologies, processes, algorithms and logic to extract insights and ideas from structured and unstructured data.

* Structured data is data created using a predefined schema and is typically organized in a tabular format. Think of a table where each cell contains a discrete value.

* Unstructured data can be found in different forms : from web pages to emails, from blogs to social media posts… (80% of the data we have is known to be unstructured).

First of all, we must define some important terms :

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