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學生對 密歇根大学 提供的 Introduction to Data Science in Python 的評價和反饋

26,484 個評分


This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....




This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.



The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans


5601 - Introduction to Data Science in Python 的 5625 個評論(共 5,804 個)

創建者 Sofia R


The course is not gradual. Especially the fourth assignment is too difficult in relation to the course.

創建者 Shahar M


The lectures are much too concise, practice is scarce which renders an overall frustrating experience.

創建者 Cecilia G M


Need clearer examples and explanations. Slides summing up concepts or used functions will be great.

創建者 Dirk


Do you want all the fun sucked out of Data Science! This course's autograder will do it for you!

創建者 Burak C


At times the assignments are more confusing than teachin, especially for non-english speakers

創建者 Jordan T


Good course but somethings are not explicitly stated when it comes to the exams and quizzes.

創建者 naman s


faculty not that good as compared to my last course's.Charles severance was a great teacher.

創建者 Saman S


Its assignments take too long to be accomplished. Somewhere videos were too fast to catch.

創建者 don't m


I didn't find it good, it's pretty much straight forward with no explanation as such..

創建者 Marcos M R


The videos are too long and sometimes the assignments too demanding for its own good.

創建者 sparsh d


Instructor hardly teaches anything and gives you the toughest assignments to do.

創建者 Taninwat W


Need more exercise section to cement what I have just learned in each video.

創建者 Scott L


Pointless course. They teach you very little. Google is your actual teacher.

創建者 Ridhi G


the level taught in the course did not match the level of given assignments.

創建者 Alakesh B


Lectures were not clear and too short. A lot of external study is required

創建者 Cunyuan Z


Lectures are useless. But the assignments CAN BE pretty good practices

創建者 Jair G


I felt lost using Python as a data analysis software with this course.

創建者 yunxin y


Too difficult as it was largely self learn + memorization, unguided.

創建者 Louis c Y


quite challenging to understand with lecturers assuming you know all

創建者 pouya g


the corrector system was very bad and i m not undrestod my mistake

創建者 Hussain


Very fewer video lectures and I felt Assignments to be very hard

創建者 Rishi B


I found the teacher boring, but his teaching was a little fast.

創建者 Akansha M


for an introduction course it was just too much to understand.

創建者 Nishant B


Very fast paced and concepts explanation was not upto the mark

創建者 OdmaaByambasuren


Too general. I was expecting more to learn from this course.