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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
24,325 個評分
5,448 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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5226 - Introduction to Data Science in Python 的 5250 個評論(共 5,387 個)

創建者 Burak C

2021年1月24日

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

創建者 Jordan T

2020年8月18日

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

創建者 naman s

2019年7月31日

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

創建者 don't m

2020年6月9日

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

創建者 sparsh d

2020年5月2日

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

創建者 Scott L

2020年4月16日

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

創建者 Ridhi G

2018年2月2日

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

創建者 Alakesh B

2020年6月9日

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

創建者 Cunyuan Z

2019年7月9日

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

創建者 Jair G

2018年1月13日

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

創建者 pouya g

2019年7月1日

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

創建者 Hussain

2020年5月1日

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

創建者 Rishi B

2018年7月22日

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

創建者 Akansha

2020年6月1日

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

創建者 Nishant B

2018年6月13日

Very fast paced and concepts explanation was not upto the mark

創建者 OdmaaByambasuren

2020年11月5日

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

創建者 shailja

2020年6月1日

very tough tutorial is easy but assignment are very tough.

創建者 Satyam c

2020年5月25日

assignments are tough. didn't expect too much high level.

創建者 Shivani P

2019年7月9日

The lectures were not enough for the assignments provided

創建者 Alejandro P A

2017年12月22日

Good content but too fast pace and confusing assigments.

創建者 Camilo E A P

2019年8月27日

Jupyter notebook for assignments do not work properly.

創建者 Sayali B

2018年6月20日

The questions are very hard and not covered in training

創建者 Harshith S

2019年5月23日

Dint teach anything used in the assignments properly

創建者 Joao V O C d B

2020年7月27日

The problem is the lack of practical exercises

創建者 Christalin D

2020年6月21日

It's asking for money to continue the course