Statistical Analysis And Business Applications | Data Science With Python Tutorial

///Statistical Analysis And Business Applications | Data Science With Python Tutorial

Statistical Analysis And Business Applications | Data Science With Python Tutorial

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The Data Science with Python course explores different Python libraries and tools that help you tackle each stage of Data Analytics. Python is a general purpose multi-paradigm programming language for data science that has gained wide popularity-because of its syntax simplicity and operability on different eco-systems. This Python course can help programmers play with data by allowing them to do anything they need with data – data munging, data wrangling, website scraping, web application building, data engineering and more. Python language makes it easy for programmers to write maintainable, large scale robust code

The course starts off with a brief introduction to Data Science, statistical concepts pertaining to Data Analytics, and a few basic concepts of Python programming. It then goes on to cover in-depth content for libraries such as NumPy, Pandas, SciPy, scikit-learn, and Matplotlib. The course also tackles important activities such as web scraping and Python integration with Hadoop MapReduce and Spark.

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By |2019-05-13T18:58:39+00:00May 13th, 2019|Python Video Tutorials|1 Comment

One Comment

  1. Nithin MSV May 13, 2019 at 6:58 pm - Reply

    Thank you. Very Useful!!

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