Ratings and Reviews for Introduction to Data Science in Python

Nice course to learn data science.

it's a really good course .it's not like a traditional course in university in China.You should put all your efford to finish it.And it full of challenge

The course was great - the lectures were clear and simple; I learned a great deal! However, instructions for the assessments could have been clearer, and there were a few issues with the autograder (though I'm sure those will be weeded out).

Even short, but give a hint and big picture how data science works

This course was excellent...I first found the course odd since the instructor went through the material quite quickly in the lectures. It took me a while to figure out that the material was available as a course download. Once I found that it was easy to follow along with the instructor...need two monitors ideally for this to work. If you cannot step through the Jupyter notebook as the instructor goes through the material, you will be lost...and you will not get the most out of the class.

The course is good and provide great challenges to do a lot of things with Python and Pandas. However, I find that its resource material sometimes lacking complex examples. This may be intentional in order for the students to learn from external resources as well. However, this can also causes difficulties for people who are not already familiar with Pandas before they start following the course.

Great! Even for someone with some python / pandas experience, it was a nice refresher / found new tips / tricks. I actually enjoyed the fact that the assignments didn't hold your hand and forced students to solve problems with the forum and other resources. Look forward to the rest of the courses in this specialisation! Two aspects you could improve is teaching is (1) Multiindex and (2) Regex. It seemed like you purposely avoided discussing these. These should be a mandatory subjects to learn.

The theory and examples are very good and cover a lot of functionalities. I like most the questions that pop up in the middle of the videos, it is a great way to check whether you understood the concepts. Some parts require refinements, the questions in the middle of the videos must be synchronized with the content (there is a little time gap) and the questions in the weekly assignments must be reviewed in depth, I dislike wasting a lot of time trying to understanding what is required to answer in each question.

This course is a challenging (and solid) introduction to using python.

This was way above my level knowledge. One will definitely a strong level of knowledge in stats and data analysis to begin with. The Python part is but only a tool in this module / course. For that reason I found the tutorials way too fast paced. I had to go back on everything and test, so a 5 mins tutorial video would sometimes take me 30 mins or longer to complete. The 3 hour / 4 hour assessments took me days! Yet - a great way to jump into something new! The course itself is great. The presentation and content is just as great.