Over the past two decades, tremendous progress has been made in the field of Information & Technology. There has been an exponential growth in technology and machines. Data and Analytics have become one of the most commonly used words since the past decade. As they are interrelated, it becomes essential to know what is the relation between them and how are they evolving and reshaping businesses. visit: https://datamites.com/data-science-course-training-india/

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Python Programming 1
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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