Ratings and Reviews for Introduction to Data Science in Python

I have to say, as a new data analyst, even though I have started my work. It is still difficult to complete the assignment. The assignment is far away from the lecture video, which makes the assignment painful and you may lose interests in the process. Even the assignments are not written in a understandable way, so you have to go to forum to clarify each question in the assignment. So please make the learning process me more enjoyable and easy for the starters. Data science is a great career and and I believe it is the future.

This was a really interesting course. The homeworks were very challenging and took longer than I anticipated, but because of this, I learned a lot. The only complaint I would say is that I posted a question on the forum and never received a response. I wish there was a better way to get questions answered.

The course was great. It provided the learners to search for various concepts on their own which really added the knowledge gained through videos. I feel that best method to approach a solution should be provided after completing each assignment because there was time when I used long approach to get answer whereas it could have been done in a short way too. Overall, the course was nice.

I like the course material and the instructor. He is concise, pleasant and clear.

Great course. The course material is well-explained in lectures – although at a somewhat low pace – and I really enjoyed working on the assignments.

At the moment, a very interesting experience. It seems very similar to Matlab.

The course is fantastic. Lectures are clear and informative. Assignments are well-designed and encourage studying. Grader is not great, this adds up to frustration and reduces the overall score for the course.

Grate material. Some of the videos are not correctly cut, making them a bit confusing at times

First of all i would say that anyone with not a strong background or not with a strong functional programming background will be in for a lot of hardwork during this course. Secondly i would say that this course helps you search documentation yourself instead of being spoon feed. This specially where i come from a teacher is only as good as much as he spoon feeds you. So the the people of the above mentioned category should definitively take this course if not to become a data scientist then to learn how does one learn at this level and that definitely not being spoon feed. I think this is a good intro to data science in general because it is such a vast field that one always has that difficulty deciding where to start. In the course i can say it was mostly basic descriptive statistics and just one thing from inferential statistics which came in the last week's project that is the two independent samples means t testing. So all in all if you are not strong in your statistics you can still take this course easily

Great course to learn about Pandas (python) library, or to refresh if you know it already.