Data Science with Python

5790 Ratings (4.9)

Python is the most popular programming language for Data Science as on Today. Python is powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms. In recent years, Python has evolved immensely with respect to Data Science sphere, with a huge community around Python creating quite a few power data science and analytics packages such as Pandas, Numpy, Scikit Learn, Scipy and more. As a result, analyzing data, modeling machine learning algorithms with Python has never been easier.

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About the course

Python is the most popular programming language for Data Science as on Today. Python is powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms. In recent years, Python has evolved immensely with respect to Data Science sphere, with a huge community around Python creating quite a few power data science and analytics packages such as Pandas, Numpy, Scikit Learn, Scipy and more. As a result, analyzing data, modeling machine learning algorithms with Python has never been easier.

This course "Python for Data Science", is designed for candidates with or without programming skills, with basics of Data importing, Data mugging and coding Machine Learning algorithms along with effective programming techniques. This also includes Python Data Science challenges kit, enabling the candidates to not only understand Python core concepts but also gain practical mastery over Python for Data Science, which is very much in demand in Today's Data Science job opportunities.

Course Contents

Introduction to Data Science
  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types
Python Programming Fundamentals
  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
Data Science Essentials
  • Data Science Introduction
  • Data Science work flow
  • Machine Learning Overview
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data-science-with-python

Course Prerequisites

  • Basic Programming is recommended
  • Basic Statistics knowledge is recommended

Who should attend?

  • Candidates wanted to pursue Data Science career, with basic or no programming skills
  • Seasoned conventional programmer aiming to gain basic machine learning coding skills
  • Job seekers, pursuing a career as Data Science Developer
  • Professionals, whose job involves Data Science and Python

Number of Hours: 50hrs

Keyfeatures

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Virtual Live Experience
  • Preparing for Certification

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TechyEdz Software Specialization in developing customized suite of HR consulting solutions based on the operational models of our clients with a special focus on small & Large Enterprises. We bring practical, results driven HR Practice to our clients business that would help them retain people, Improve business productivity and performance of employee.