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.

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 !

Excellent. Very challenging if you are not experienced with Pandas or Statistics. You'll start to become comfortable with Pandas by the end of the course.

seriousely this course is awesome! I'm be part of this course as a student and i wish to dive more. My gratitude goes to the entire instructors. Thank you

It was a nice insight on the topics and methods which are being use for data cleaning,data integration and data analysis with their meaningful extraction.

Excellent course content. You can feel the challenges and the course provided a vision not only about problem-solving but overall knowledge of the domain.

The course content of Intro to Data Science in Python offered by Uni of Michigan is extremely useful and well-organised. It is quite handy to the beginner

Although, i had some basic knowledge of data science before and also i did some programming in python, yet i find this course comprehensive and practical.