A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data. This course will establish your expertise in data science and analytics techniques using Python.
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Collecting data
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Processing data
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Exploring and visualizing data
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Analyzing (data) and/or applying machine learning (to data)
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Deciding (or planning) based on acquired insight
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Machine Learning
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Mathematical Modeling
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Statistics
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Computer Programming
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Databases
Lab Setup:-
Computer with the following software
Operating System: Red Hat Linux / Ubuntu/CentOS/ Windows ( Latest Version preferable )
Anaconda python 3.7 ( Latest Version preferable )
https://www.anaconda.com/download
Python 3.7 version *
Set Up Python Path Environment on OS ( During Installation ). [ Shortest Path ]
Internet Access will be needed to install python third party library
Hardware :
RAM: Minimum 4GB / 8GB ( Recommended ).
Internet Connectivity. ( Needed to Install Packages and Run Anaconda Server ).
80 GB HDD.
Course Outline
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