Chevron Left
Вернуться к Introduction to Data Science in Python

Отзывы учащихся о курсе Introduction to Data Science in Python от партнера Мичиганский университет

Оценки: 25,656
Рецензии: 5,715

О курсе

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....

Лучшие рецензии


9 мая 2020 г.

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


28 сент. 2021 г.

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.

Фильтр по:

5151–5175 из 5,667 отзывов о курсе Introduction to Data Science in Python

автор: Dr. A J

4 мая 2020 г.

Content was good, instructor was very knowledgeable, but his methodology of teaching was not good. He was very fast.

автор: Arju A

2 апр. 2020 г.

Things required in assignments could be mentioned.

If language could be made a little bit easier, then it would help!

автор: Papa K B O

7 июля 2020 г.

Even though this is an intermediate course, the tutorials were really really quick it was hard to sometimes follow.

автор: Priyabrata R

13 янв. 2020 г.

It will be quiet difficult to learning panda with this little sort of introductions. and specially as a new comer

автор: Mayank J

17 июля 2020 г.

Giving three stars only because of the excellent quality of the assignments. Though video lectures are mediocre.

автор: Divi A K

16 дек. 2019 г.

Need a clear documentation or basic methods used in numpy and pandas at single place to have a future reference

автор: Ty C M

22 окт. 2019 г.

Even after taking the beginning course before this, I felt like this course assumed you knew python beforehand.

автор: Adi.Vamsi S

12 дек. 2018 г.

It's good but I'm unhappy with the programming tutorials ie. Jupiter note book section no explanation is given

автор: Katia B

24 нояб. 2018 г.

The auto-grader is a bit of a pain. But forums were very helpful and generally the assignments are interesting

автор: Yash M

13 июня 2017 г.

The course is fine but not upto the mark. Assignments are much difficult as compared to teaching in the videos

автор: Hussain M

6 июля 2020 г.

Could be more inclined toward basics! and assignments were very good regardless of the topics not covered!!!!

автор: Daniel P G

11 янв. 2018 г.

The teacher and lessons are excellent, but the auto-grader has some issues and doesn't give enough feedback.

автор: Aastha K

4 сент. 2020 г.

It was quite informative but I found the assignments a little difficult. had to spend a lot of time on them

автор: Aditya M

7 июля 2020 г.

Please give the functions which will be needed in the programming assignments in the hints in the notebook.

автор: Tianyu H

19 дек. 2019 г.

Pace too fast. Sometimes the explanation is unclear about the syntax and functions. Not good for starters!


3 авг. 2020 г.

It was a bit tough to follow.The instructions were hard to grasp.Could have included more basic concepts.

автор: Asier U

14 окт. 2021 г.

G​ood intro, with a little too much time spent on regex, but ok. Good teacher and easy to view material.

автор: Abdul A B A R

30 июля 2019 г.

The explanation was very brief. Not much detail explanation and example. Need to explore more by myself.

автор: You W

4 февр. 2018 г.

submitting homework is a pain and even the same answers are marked wrong sometimes... a bit frustrating.

автор: aurelien l

2 июня 2020 г.

I would love to get corrections of the assignments once it's passed to see if my code could be improved

автор: Vatsal K K

21 мая 2020 г.

The instructor doeesn't explain in detail each topic so we have lot of difficulties in the assignments.

автор: Bettina A

23 мар. 2018 г.

A lot of great information, but the information is sped through so quickly it gets kind of frustrating.

автор: DAHOU M

27 сент. 2020 г.

It's nice all the weeks were great but the last assignments wasn't really clear and hard to understand

автор: Ronald M

16 авг. 2020 г.

los examenes no estan siendo correctamente diseñados o estructurados para llegar a la misma respuesta.

автор: Dannis C

29 мар. 2019 г.

Very fast paced, you definitely need to have a solid background in Python and the different libraries.