Data Science With Python
Prerequisite for the course
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There is no prerequisite for taking this training.Basic knowledge of any programming language will be beneficial.
FAQ
What if You miss a class?
You can access recording video of to your missed class on our website.
Can i attend a demo class before enrollment?
You can view our live-demo session recordings always.
Who should go for this Training?
This training of qwikmind is suited for all the professional which will be provided by trained IT professional.
What if I have more queries?
Write to us at 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
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Python is a very powerful programming language used for many different applications.Explore Python language fundamentals.
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Python is powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms.
Course Description
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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 .
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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
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You will learn Scientific libraries in Python .
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Learn about strong ways to store and manipulate data as well as cool data science tools.
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Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.
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Learn to use Python as your Data Science tool of choice .
Course Contents
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Introduction to Data Science Python setup and configuration Statistical Analysis - Machine learning prerequisite and essentials
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Use of Python for Mathematical computing(Numpy)
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Use of Python for Sceintific computing(Scipy)
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Programming in Python
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Sequence Structures and File operation in Python
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Deep Dive - Data visualization, Data Processing, Regular Expression, Regression, Functions and Sorting
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Data Manipulation with Python
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Understand Natural language processing - Scikit
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Integration of Hadoop with R
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Web Scraping
