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    Data Science With Python

    Prerequisite for the course

    • There is no prerequisite for taking this training.Basic knowledge of any programming language will be beneficial.

    FAQ

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    What if You miss a  class?

    You can access recording video of to your missed class on our website.

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    Can i attend a demo class before enrollment?

    You can view our live-demo  session recordings always.

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    Who should go for this Training?

    This training of qwikmind is suited for all the professional which will be provided by trained IT professional.​

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    What if I have more queries?

    Write to us at contact@qwikmind.com with your query and we will get back to you soon.

    About The Course

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    • It is a detailed and professional Data Science and Python training designed by IT professionals which provides in-depth Knowledge. The Training includes theoretical and lab sessions which are conducted by Trainers as per the Industry standards.

    Why This Course

    • Python is a very powerful programming language used for many different applications.Explore Python language fundamentals.
    • Python is powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms.

    Course Description

    • Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge .

    • Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. 

    What you will learn​

    •  You will learn Scientific libraries in Python .

    • Learn about strong ways to store and manipulate data as well as cool data science tools.

    • Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.

    •  Learn to use Python as your Data Science tool of choice .

    Course Contents

    • Introduction to Data Science Python setup and configuration Statistical Analysis - Machine learning prerequisite and essentials

    • Use of Python for Mathematical computing(Numpy)

    • Use of Python for Sceintific computing(Scipy)

    •  Programming in Python

    • Sequence Structures and File operation in Python

    • Deep Dive - Data visualization, Data Processing, Regular Expression, Regression, Functions and Sorting

    • Data Manipulation with Python

    •  Understand Natural language processing - Scikit

    • Integration of Hadoop with R

    •  Web Scraping

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