Ratings and Reviews for Introduction to Data Science in Python

Great course to get familiar with Pandas and Numpy

This is a pretty tuff course and the explanations and teachings are not up to the mark while assignments are good. To complete the course you have to take the help of youtube and web to fully understand the concept.

Muy buen material y aplicaciones

Perfect course, thank you for everything

The assignments can be better structured. I found it tough to navigate and perform operations

Es el mejor curso!

Some of the questions were a little unclear, but overall this is a very well put together and informative course. You will learn a lot, and I will be referencing the resources here later. Note: this is a more difficult and time-consuming course as far as coursera courses go.

Excellent course. I learned a lot about Phyton, even I thought I already knew what Phyton was, but here Phyton is used intensively. The tests were really tough. I spent hours trying to figure out how to pass the tests. Also, there is a lot of help in the forums, and a lot of people willing to help.

First of all, I DO NOT recommend this course to anyone. Save your money and time and learn the subject in self-studies because that is exactly what you'd be doing if you signed up for the course - only you would be paying for it and experiencing the level of frustration I went through during the completion of this course. I chose to sign up for this course because I completed the P4E specialization which I loved. But make no mistake, this instructor is no Dr. Chuck. Key issues: Instructory videos are extremely brief but cover complex topics, hence you get a very superficial overview of the topic, there is no real "teaching" involved (...which I thought was what I was paying for) Monotone, non-engaging instructor Videos do not prepare you for assignments (you will need to spend hours researching the topics on your own) Poor wording and explanations regarding expectations for the assignment deliverables

Muy bueno, fue enfocado, con cierto grado de dificultad pero admisible.