The course is very good. The scope of the course was well defined by the Michigan University. I highlighted recommend if you want to begin with data science.

Learned a lot about Pandas and data manipulation! But some small points are not very clearly explained in the assignments. Going over the forum is necessary.

This was very useful and have learned many things from this course and by learning this course this creates enthusiasm to me to earn more about data science.

Excellent course a good way to learn Pandas API in 4 weeks. Beware the assignments, read the discussion for pointers or common errors before submitting them.

Great teacher, great lectures, good example code and assignments that are not too easy and not too hard. I really feel like I learned and achieved something.

Excellent for data science beginners. You must know python programming and some background in statistics beforehand in order to fully understand the content.

The course is great for senior data analyst. However, you need to learn by yourself probability and statistics because they do not cover them in this course.

Perfect courses! With a lot of opportunities to practice and to learn from do questions by yourself. Mentors and staffs are also kindly to answer problems.

Excellent class. Needs a little work to make sure assignments a little more clear, but with a bit of work from the student, it's a great learning experience.

I was very new to Python and only had basics idea on programming language. I find this course very much informative and would help me to attain new heights.

This course was great, it makes the pandas libraries easy to understand and the assignments were hard enough to make the student strive and were practical

Week 4 should be covered more thoroughly or should have additional suggested reading materials when statistics has not been students main area of expertise.

Fantastic course that uses real data. The assignments are the best part of the course, which is where a lot of other MOOC courses I took are really lacking.

the python friendly nature in data science is flexible and easy to use large big data. its introduction and function as been useful to know the information.

The courses are phenomenal with a little introduction to the topics and then encouraging the students to explore to do the assignments. Simply magnificient.

I am very happy with the course. It was not easy. Quick paced and needed a lot of groundwork and reading but that is how it should be. Thank you very much.

They way of teaching is perfect. I think the students can grasp the concept more easily and permanently through this approach. Good effort!

Wonderful course.

A very useful Course to start with Data Science in Python. I'd learn to manage the basics libraries in py and something about data cleaning and statistics.

Fast paced and interesting lectures, challenging project + I learned something about economics with the final assigment!

Thank you Pr. Brooks and your team!

It was great lecture! I really enjoyed studying pandas and python with real data set.

It was a bit hard to use skill right after I learned, but it worth it!

The course is well structured. It not only taught programming knowledge but also raised some issues that we need to consider when conducting data analysis.

Solid intro to Data Science. It made simple for me to go through elementary Data Science concepts and is a best course I have taken in this topic so far <3

Highly recommend taking this course to people with intermediate Python background. Especially, the assignments are great and very well prepared. Thank you!

You're gonna spend a lot of time reading documentation if you're not familiar with pandas, but it's a good course that really makes you learn the material.

An excellent dive in Python and Pandas. Christopher's course combines fast-pace and clarity; you never have to wait for the video to move forward. Thanks !