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Data Science with Quantum Computing
Rating: 3.1 out of 5(13 ratings)
120 students

Data Science with Quantum Computing

How Quantum Science Concepts can be applied in Data Science solutions and workflows
Last updated 9/2023
English

What you'll learn

  • What Quantum Computing is as a field
  • Deep Research insights on application of Quantum Computing
  • How to think Critically of Data Science using Quantum computing
  • Build a Quantum Computing backed Machine Learning Model

Course content

5 sections21 lectures37m total length
  • Introduction1:35
  • What is Quantum Computing?1:35
  • How is Quantum Computing Done?4:38

Requirements

  • Basic Python Understanding

Description

Quantum computing is a new and rapidly developing field with the potential to revolutionize many industries, including data science. Quantum computers can perform certain types of calculations exponentially faster than classical computers, making them ideal for solving complex data science problems that are currently intractable.

This course is perfect for anyone who wants to learn about quantum computing and how to use it to solve real-world data science problems. Whether you're a data scientist, a software engineer, or a student, this course will give you the ideas you need to try to work in the emerging field of quantum computing.

There is no such thing as perfection in any field but this course will give you an idea of how to symbolize technological curiosity with implementation.

Note this is a course that will help you understand how to use data science with quantum computing while highlighting the basics of it and not an advanced quantum computing course.

In this course you will learn:

  • How to use quantum computing to solve real-world data science problems

  • How to use quantum algorithms with Python

  • Popular quantum algorithms for data science tasks such as machine learning.

  • The basics of quantum mechanics and quantum computing.

Who this course is for:

  • Beginners in Python
  • Beginners in Data Science