Data Science with Quantum Computing
How Quantum Science Concepts can be applied in Data Science solutions and workflows
Ratings 4.18 / 5.00
What You Will 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
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 Should Attend!
- Beginners in Python
- Beginners in Data Science