学生对 约翰霍普金斯大学 提供的 生活中的数据科学 的评价和反馈

Good concepts - apply to anyone new to data science.

Lot of good 'read further' links and materials. Learnt a lot.

Great examples and explanations of real cases, very helpful for general understanding of concepts.

Very nice overview of what can go wrong in a data science project and what to pay attention to.

Need more focus on other industries like Telecom, Banking, Manufacturing, Semi-Conductor, etc.

Gives enough understanding of data science in related fields, but course is complicaed enough

A bit difficult to understand compared with other course of the specialization, but useful

Appreciated the anecdotes as they allowed me to remember the learnings in context

Good for the start but need more insight explanations with hands-on practicals

Practical approach and gotchas to consider for doing data science in real life

good course, but focus more on inferential analysis than predictive analysis

Help me understand what can I expect from a real data science project.

Quality of this course is better than the rest of the specialization.

This gives the basics of Data Science that one needs to lead a team

A little difficult overall but had some key points to take away.

Good course, Longer than expected. Very satisfying at the end

great approach, thanks. A few typos, but otherwise great.

On of the best courses of Data science on Coursera.

Good for introduction in Data Science Process

A solid course with lots of practical advice.

Short session need more handson excercise

Good course with vibrant instructors.

More real world examples are required

Good summary on experimental design.

Good, a bit long for the material.

I really enjoyed the course :)