Ratings and Reviews for Introduction to Data Science in Python

good solid intro to python munging.

This course was a good introduction to using Python for data science. I found the coverage of Pandas to be especially beneficial.

Great course, it would be nice to have more interaction and feedback from TA's.

This is a great course with excellent materials and very practical assignments. The course forum is more than supportive, I won't be able to complete this without helps from my peers and all the teaching staff.

The course is quite demanding from the get go. If you are trying to get by with casual interest, then this is not the course for you. Much of my December vacation (which I had earmarked for playing video games) was spent coding on this course. The biggest gripe I have about the course is the grader system. It gives a binary output indicating whether you got the question right or wrong. Unfortunately, often that is not good enough, to debug your code. I spent hours figuring out what's going on. The forums were also not helpful, since there were not many taking the course. At the end of all this, if I ask myself, did I learn a lot? The answer is probably no. However, I did get a lot of coding experience. Debugging experience. We have many databases (MySQL, MongoDB, Cassandra, etc), which have far more powerful features than what pandas can do. Therefore, as a system designer, it is unclear to me as to why I would ever pick Pandas over the rest. It appears quite slow (compared to the likes of time tested databases). It offers very few features (when compared to a DB). Lastly, I can use it only with Python. To me, it appears to be a no-brainer to use any one of those DBs to store, modify and massage my data. Maybe there are valid applications that can make use of Pandas like features, but I did not learn that from the course Summary: Better Motivation to use Pandas over standard Databases Better grader design.

To be an introductory course I struggled a lot, is a very practical course, and the assignements encourage you to learn more. This is the best technical course I have taken. Lo recomiendo ampliamente

Excellent course for data analysis in python, although the assignments are quite challenging and time consuming for beginners. During the course, I wish I could access to the correct codes after passing minimum score so that I could compare what I did with what common practices would be. We all code in different ways to achieve the same outcome, but it would be nice to know the most efficient ways/styles.

Very condensed and practical. Good fit for the ones who already have some experience in DS using other tools (like R).

In my humble opinion, this course does not have a correct balance of difficulty of new concepts/tools with the exercises given by the course to practice. It is a "hey, look, there is something called pandas out there that may be very useful for you" but it is too introductory. And I know the course has the word "Introduction" in the title but that does not grant, in my opinion, to run a 4-week course such as this one with so little content

As compared to some other machine learning/data science courses offered "Introduction to Data Science in Python" was very pragmatic. Starting out with simple data cleaning and data structuring may not be the most exciting thing ever, but it was extremely useful to learn the basic tools needed to be a competent data scientist. One point of warning - the homework and projects took me about twice a long as suggested by the course notes.