It's a perfect introduction to the data science world
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Somewhat demanding for somebody who didn't have much experience with pandas but very professional.
Honestly, my opinion is that the material is "a little too difficult a little too early" .. not because an experienced programmers can't handle it, but because the urgency of getting the final assignment done forces a reversion back to more traditional programming techniques rather than instilling "Pandas like" programming techniques ... if anything .. "instructor solutions" should be given at the end of the course so we can go back and see "how we could have done it more elegantly" in the areas were are interested in.
An amazing start to hard work that data scientist do! Its not all applying fancy algorithms, you have to get your hands dirty and clean up your own data.
An excellent overview of the fundamental skills associated with data collection and analysis. Successful completion of the course will enhance your knowledge of the Pandas API.
This is a very impressive course for someone who wants to get an intro to data operation in Python. The assignments are very well laid out. The automatic grader gives good insights of what may have gone wrong.
One thing though- there could have been more concentration (especially in the assignments) on grouping and slicing the datasets.
Ideal for people starting with python, numpy and pandas. Assigments require lot of personal research but it is all in google. Forum is also very handy. What I love the course the most is the amount of exercises that make you practise a lot. Highly recomended
Very good and Interactive tutorial to learn panda and numpy. Very helpful quiz and programming exercises.
Very clear introduction to Python data analysis packages. I will continue the specialisation.
Nice starter course to getting aware of Data Science using. It has enough scope for self learning which keeps student challenged throughout the course.