Ratings and Reviews for Introduction to Data Science in Python

Some 2 years after finishing this course, I cannot stress enough how much I have gained from this course (or the full specialization for that matter). Having started this specialization as a social science researcher with a solid background in traditional statistical research (and total beginner with Python), I have actually managed to find a job as a Data Scientist halfway through this specialization. This course and specialization will teach you how to use all the commonly used Python libraries for Data Science applications (Pandas, Matplotlib, Numpy, Scikit-Learn, NLTK etc.). And comparing to some of the other specializations I've taken in the field of Machine Learning, Deep Learning and Maths after completing this one, I can say that the programming assignments are by far the best I've encountered on Coursera so far. The learning curve is pretty steep at first (it was for a total beginner like me) but you'll learn a lot quickly. And by the end you'll be able to do most Data Science tasks independently. Highly recommended!

Quite interesting course. Looking forward to enroll in other courses in the specialization.

This was a superb introduction to Data Science in Python. Before I started this course I had completed a few introductory Python courses, but never felt confident enough to perform standard analyses in Pandas. This course has changed that and I am now confidently using it in my day job as a Data Analyst, helping me to automate some workflows, analyse data much easier and so on! What is really great about this course is that it sets you up on Jupyter Notebooks to follow alongside each week's lectures, and then gives you an assignment to complete each week in a notebook. It really helped me get to grips with using notebooks, and debugging code and so on! As a Data Analyst, and budding Data Scientist, I cannot recommend this course enough!

Excelente! Muy fácil de entender

Nice introduction to pandas. Lectures are short and give just a quick overview of the different sections while the main learning comes from the assignments which require more individual effort and self-learning. Material requires some basic prior knowledge of Python and/or experience in another programming language. Would definitely recommend this course to people interested in data analytics with Python.

very nice content. Learned a lot.

There should have been more quizzing assignments rather than the coding ones

Sometimes grader was too picky and i spend many many hours trying to figure our mistakes, that were only wrong datatype and so on.

Pace was okay and content of the lectures was understandable. The assignments are a little hard since it requires you to discover outside of what is taught but gives you much greater exposure and allows you to practice more. Overall a good introduction to data science.

I wish grader would tell the mistakes, I had hard time figuring out what is wrong and what is right