Data Science

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5 Terms

1
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What is data Science ?

It is the process of collecting , analyzing and understanding the data to find it useful and make better decision

Data science convert random and unorganised data into clear and understandable data and then into action

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Diagram of Data Science :

Noise data → Knowledge Insights → Organization Action

Noise data : In this data is raw , unorganised and unclean

Knowledge Insights : In this data is cleaned ,analysed and meaningful

Organisational Action : In this we take actions based on Insights

<p>Noise data → Knowledge Insights → Organization Action </p><p></p><p>Noise data : In this data is raw , unorganised and unclean </p><p>Knowledge Insights : In this data is cleaned ,analysed and meaningful </p><p>Organisational Action : In this we take actions based on Insights </p><p></p>
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About data science :

  • Data Science combine math & Statistics , AI & ML

  • It is used to uncover the actions that are hidden in organisational data

  • DS give problem to business problems

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What are the needs of Data Science ?

  • To make better decision : Data helps businesses to do data based decisions rather then guessing

  • To understand patterns and trends: Data Science help businesses to understand the pattern which human may not notice

  • To predict the future: It uses past data to predict what will happen next

  • To reduce risk : It is used for fraud detections and risa

  • To improve business strategies : Companies use previous datas and insights to improve marketing and products

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What is business Intelligence ?

  • It is the process of collecting, analysing the data to help businesses make better decisions

  • Business Intelligence uses past and present data

  • It shows data in charts and graphs