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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,484 Ratings from Coursera

Reviews

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.
Excellent Course! 100% recommended for those who want to step into the word of Data Science using Python.
not bad... theres a big mistake in the regex video. assignments don't really match the lectures. Without Corey Schafer and Sentdex on youtube I would've quit.
I've learnt Pandas many times but I think this time I've understood it deeper and clearer. Assignment in Week 3 seems unclear to me. Overall, this is a great course.
Some of the assignments were very hard compared to what what our instructor teaching, Our instructor teached us well but the assignments very quite hard
Thank You for the Course, It was really interesting.
Really good exercises and theory
one of the hardest deadlines I ever did, missing some more hints for where the error is, but really powerful makes you think in different ways as if you a real data scientist, I liked it and I recommend it even if you were old in the field of data science, this course will really make you try your best.

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