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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHED -----·> Packt Publishing
·-- LECTURESHIP ---·> Data Analysis with Python
·-- LECTURE DATE --·> 05-2017
04-2017 {Published}
·-- LEVEL ---------·> [ ] Starting {Beginner|Newcomer}
[■] Progressing {Intermediate|Advanced}
·-- PERIOD in HRS--·> 02+ e
·-- SCALE ---------·> 27x50mb
·-- LECTURE LINK --·> https://goo.gl/sWBGqU
Python is a popular programming language ,widely used in many scenarios
and easy to use to use. Data Science is an interdisciplinary field that
employs techniques to extract knowledge from data. As one of the fast
growing fields in technology, the interest for Data Science is booming,
and the demand for specialized talent is on the rise.
This course introduces the audience to the field of Data Science using
Python tools to manage and analyze data. You can learn some of the
fundamental tools of the trade and apply them to real data problems. And
along the way it discusses the use of Python stack for data analysis and
scientific computing, and expands on concepts of data acquisition, data
cleaning, data analysis and machine learning.