Harvard University
Data Science: R Basics
4.4273 ratingsBuild a foundation in R and learn how to wrangle, analyze, and visualize data.
Overview
Learn domain-specific quantum algorithms and how to run them on present-day quantum hardware.
What you'll learn
- Quantum Fourier transform and search algorithms
- Hybrid quantum-classical algorithms
- Quantum annealing, simulation, and optimization algorithms
- Quantum machine-learning algorithms
- Cloud-based quantum programming
Skills you'll practise
Advantages and disadvantages
Advantages
- University courses you can audit for free, with lectures, readings and practice quizzes.
- A verified certificate from the university if you pay for it.
Disadvantages
- Graded assignments and the certificate need the paid track.
- Audit access can expire a few weeks after the course ends.
- Learning is free, but the certificate costs money.
- Some parts (graded work, certificate) are paid.
- Runs on fixed dates, so you may have to wait for the next run.
Some points apply to every course of this kind; see how we rank.
Free to audit
- Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
- Paid: Graded assignments and the verified certificate (Certificate $833.33). Audit access may end after the course closes.
Before you start
Applied Quantum Computing I: Fundamentals Undergraduate linear algebra, differential equations, physics, and chemistry.
Taught by
- Pramey UpadhyayaAssistant Professor of Electrical and Computer Engineering
Purdue University is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (78/100).
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