History of Data Science Part(2)1. © 2020 DataMites™. All Rights Reserved | www.datamites.com
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Data Science
Basic History
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Why data Science?
• Data is new oil.
• 2.5 quintillion bytes of data are produced by humans every day.
• Data driven decisions are strong for any organization.
• Any organization growth depends on how they are using their data.
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Why the Hype around Data Science?
• Salary hike.
• Job Security as 2.5 quintillion bytes of data created each day has been projected.
• It is not just restricted to a single domain. It has applications in fields like finance,
e-commerce, healthcare, agriculture, social media, entertainment and many more
fields. Its applications are truly endless.
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Who Are Data Scientists?
• Data scientists are big data wranglers, gathering and analyzing
large sets of structured and unstructured data.
• They analyze, process, and model data then interpret the results to
create actionable plans for companies and other organizations.
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Tools or Programming Languages in Data Science
• Mostly Python, R are used as Language for Data science.Also Julia is
gaining popularity among the Data Scientist.
• To learn data science use jupyternotebook,easily available in Anaconda
package.
• Pycharm is best tool to create Data Science project pipelines.
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