Ask HN: Recommend me a course on Coursera

Article summary

A university student has been given free access to Coursera courses and is seeking recommendations on which courses to take. The student is interested in courses related to UX design, bioinformatics, statistics for data science, mathematical analysis, algebra, or category theory. The student is open to suggestions from any category and wants to learn something new. The goal is to find a course that is engaging and worthwhile.

Main themes

• Course recommendations
• Coursera content quality
• Machine learning and AI
• Bioinformatics and data science
• Online learning resources
• University partnerships and accessibility

What commenters say

• The cryptography course on Coursera is highly recommended for its excellent teaching and practical applications.
• The bioinformatics course on Coursera is great for learning algorithms and has a strong focus on technical skills.
• Andrew Ng's machine learning course is outdated in terms of video and audio quality, but still provides good content.
• The course's requirement of using Matlab or Octave can be a hurdle for some students.
• Some commenters prefer Andrew Ng's updated deep learning course with Python over the original machine learning course.
• The original machine learning course covers essential theoretical topics and provides practical advice, but may not be necessary to take before the deep learning course.
• Other courses on Coursera, such as those on design, wellbeing, and TensorFlow, are also highly recommended by some commenters.
• Some commenters believe that many Coursera courses have shallow content and may not be as valuable as other learning resources, such as books or video lectures from universities.