Data Science : The buzzword

Bendriss Maryam
Data Science in simple words
3 min readFeb 13, 2021
  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” :

Data VS Insight

Insight = data interpreted

Example : interpret insight from data

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 :

Data Science is mainly based on data, develop a model so that the relationship between the output and the data will be coded by itself, the program parameters try to learn this relationship.

NLP : Natural Language Processing

Extract Information From text in order to understand the human languages, here are some examples :

*Automatic Translation : from a language to another

*speech recognition : convert speech to text

*Email classification : spam or not spam

*ChatBoot : automatic replies

Computer Vision :

Extract Information from images/videos to be able to see like human, here are some examples :

*Image classification

*Object detection

*Facial recognition

It was a simple introduction to data science for anyone interested about this field, leave your questions in comments below.

--

--