Ratings and Reviews for Introduction to Data Science in Python

The course is good but the oral explanations are at times very tiresome. A more constructive approach in which the explanations are followed by step-by-step examples whould be far better. Best regards

Assignments are excellent practice.

I like this course very much. I would rename the topic like data manipulation using python. It is definitely not just an introduction program to Data science. The questions are very challenging especially from week 3. But, I am very confident on taking any problems for data science to manipulate it successfully.

Course structure is very clean so that everyone can understand the topic from root to advanced level

A good introductory course to Python. 1) The brand-new coursera jupyter notebooks are great. 2) The in-video quizzes are sometimes harder than assignments. 3) Showing two guys in the background of every video was unnecessary.

Excellent introduction to Data Science. I just wish that there are practice assignments on just the topics covered before diving into our own implementations

The course is informative and well structured. The programming assignments are challenging, but I consider this a good thing as it forces the students to learn on their own. Be prepared to spend more time than advertised. The course aims to be realistic and thus puts a lot of emphasis on data preparation and cleaning. However, it lacks tests for your code so it is often tough to figure out exactly what the autograder wants to see prior to submitting. This had caused me some frustration as the final project does not expect a thoroughly cleaned data set, but rather one that is cleaned up to a certain point (e.g., you have to remove parenthesis but leave orphan punctuation in place).

Great course. Quite challenging, but the videos gives a lot of informations, so to solve assignments you need only a little of your own research. But you need a lot of your own work in understanding what's going on. Good course, it's not exactly the beginners level, rather beginners +, but after the course you are able to do something on yourself.

One of the best courses I've attended in the Coursera. The programming assignments were tough. But I think in some assignments instructions were not clear or were not available at single place. Ideally all the instructions/hints etc should be placed inside the notebook for assignments. Overall the course challenged my learning. And I needed to do lots of googling to look into stackoverflow, pandas documentation etc to reach the correct answers. Awesome course.

Very informative and helpful to have first insights on data visualization technics, data charting and guidelines for good and professional data analysis and visualization.