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.


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

  • 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