Ratings and Reviews for Introduction to Data Science in Python

This course really gave me a hand on experience to learn data science using python and helped me develop and enhance my skills.

need more relevant topic videos before project/assignment

It's hard but fun!

The course was pretty exhaustive and I felt like I learnt everything that this course intended to teach me. The assignments were pretty tough, given that I had no experience of Python before this, but that's down to me for not taking the "Python for Everyone" course, as recommended by our professor. A few more interactive and intermediate level problems could go a long way in making the course takers better skilled and equipped with Python.

A lot more difficult than PY4E. Really struggled a lot on the assignment, but definitely worth it!

Learned so much in such a short time! I can't believe it. 4 weeks ago, I had no idea what pandas was. Now, I'm merging multiple data sets and cleaning them. Such a great feeling.

Terrible course. Material they teach has nothing to do with what you're evaluated on, so I ended up using google more for the assignments than the actual course material. Expect you to basically already know everything they're teaching, so it's essentially useless. They fly through concepts and barely explain anything, so you end up learning nothing.

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!