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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

4.5
24,335 個評分
5,453 條評論

課程概述

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....

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PK
2020年5月9日

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

AU
2017年12月9日

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

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5201 - Introduction to Data Science in Python 的 5225 個評論(共 5,389 個)

創建者 priyanshi b

2020年5月19日

the voice of the teacher is not loud plus the assignments are too tough to clear, I think a basic version of learning pandas should be there before this course.

創建者 Deleted A

2018年6月13日

Too fast and need to break the content even smaller with frequent practise assignment and graded quiz, just make it like python for everybody specialization

創建者 Dario M

2019年6月18日

I didn’t like how the subjects are explained, and i feel the grading system is not good at all. It would be better if assignments were graded by peers.

創建者 Krishna P K

2017年9月10日

The course rushes through a lot of concepts and expects the learner to figure out real insights using public resources. The reference material is poor.

創建者 Raghav G

2020年7月13日

A horrible course with very little detail than required, I had to access a lot of additional resources than coursera in order to complete this course.

創建者 Shikhar S

2019年6月2日

The content of teaching in videos is a way too less than the level of asssignments .I had to make a lot of efforts on my own to understand the things.

創建者 Josep R

2018年4月17日

The ways is taught is not very good - basically a lot info in short timespan. I don't think the Jupyter Notebooks format is the adequate for teaching.

創建者 Kandregula V N A

2020年8月26日

its hard for beginners to understand in the flow , it took me time to complete the course by studying about the same concept in other resources too

創建者 Manuel M

2018年2月26日

For some reason the format in which the lectures are organized lack a lot of tact and seem to be made with no pedagogic consideration whatsoever.

創建者 Clement G

2017年9月17日

Explanations of python were pretty coarse, the video was not helping much. I feel like I spent time doing 99% of python and 1% of data science.

創建者 Emil K

2017年1月5日

Many bugs, lecture content does not cover topics required to complete the assignments, assignment instructions are not written in a clear way.

創建者 KAMAL G

2018年10月7日

The speaker speaks too fast for any useful "sharing". One need to do reverse engineering to understand the code and underlying concept.

創建者 Adam R

2018年8月20日

Videos not very explanatory, ended up being a lot of self-teaching, video seemed too scripted and didn't really explain concepts well

創建者 Chenfeng L

2016年11月13日

Good course materials and the assignment itself is pretty good, but the grader is buggy, not informative and wasted a lot of my time.

創建者 Manya A

2017年1月31日

Too much focus on databases and database operations, rather than data science.

The assignments are too difficult for a 4 week course.

創建者 MAHESWAR N

2019年7月28日

Assignments were not clearly documented, causing lot of time spent in understanding the requirements than implementing a solution.

創建者 Dilpreet S N

2020年4月2日

The course is very fast-paced and explanations are not clear neither detailed, it looks like instructors are just doing formality

創建者 Sarah S

2021年3月30日

This is a poorly taught course which tells you to go away and teach yourself data science rather than teaching you data science.

創建者 Abhishek c

2019年6月7日

The learning is very fast paced.It seems like the trainer is in hurry.He just touched some keyword without going into details.

創建者 Kush S

2020年5月20日

The instructor is very fast and assignments are very tough. Their is huge difference between the course and the structure.

創建者 Shrey S M

2020年6月17日

Pretty difficult course I would recommend the instructions to be more clear and assignments a little more easier .

創建者 Abhimanyu S

2020年4月9日

Videos are too fast and the assignments are barely dependent on the videos. Had to spend a lot of time on Google.

創建者 Yiren J

2017年5月15日

The materials are great, but the pace is too fast, I can hardy catch up. Really need to slow down a little bit.

創建者 Apurv G

2020年3月31日

2 stars only for the great assignments. Whatever I learnt in this course is through google and assignments.

創建者 Sofia R

2021年7月25日

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