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Вернуться к Introduction to Data Science in Python

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

Оценки: 20,611
Рецензии: 4,623

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


May 10, 2020

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


Dec 10, 2017

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!

Фильтр по:

4226–4250 из 4,561 отзывов о курсе Introduction to Data Science in Python

автор: Alessandro M

Jul 28, 2020

Very good assignments shame the video lessons are very poor

автор: Asheesh L

Jan 28, 2019

Course was ok. Submission of assignments is really painful.

автор: Rounak C

Apr 28, 2020

Amazing content but needs to be a little more structured

автор: Giorgi B

Apr 19, 2017

Much more difficult assignments than taught in lectures

автор: Swathi P P

Jun 02, 2020

this course could have covered much more deeper topics

автор: Himanshu s

May 29, 2020

Its very useful for me. thank you so much for help me.

автор: Viren V S

Jun 07, 2020

Need basics to be cleared before entering this course

автор: Galen S

Sep 26, 2017

Thought assignments could have been better designed

автор: Michael T

Dec 27, 2016

To much disconnect between assignments and lectures

автор: Samuel L

Jun 04, 2020

Please update the course pandas and numpy version!

автор: 18P917 V R M

Jun 05, 2020

Assignment questions are not clearly communicated

автор: Bindu G

Aug 22, 2018

assignments are too long and videos are too fast.

автор: Anna K

Apr 29, 2018

The quality of the testing system is really poor.

автор: Qinling Y

Oct 02, 2018

The assignments are stimulating and interesting.

автор: Taha R

Jun 02, 2018

Clear lectures. But assignments need to improve.

автор: Vinay K V

Jul 16, 2020

Course assignments are bit tough make it easy

автор: Mohamed A

May 21, 2020

Kinda fast paced and needs more explanation !

автор: Kondamudi S C

Aug 02, 2020

The instructor taught this course very fast.

автор: Chen L

Apr 05, 2017

More programming details should be included.

автор: Pravin A J D

Dec 09, 2018

can be made a bit detailed course on Python

автор: Maxim P

Jul 14, 2018

less talking more usefull guiding is needed

автор: Rohit J

Jul 12, 2020

Lecture explanation could have been better

автор: Jinsuk H

Oct 15, 2017

Good materials but video doesn't help much

автор: Oleg K

Nov 05, 2018

Compare to Machine Learning from Stanford

автор: Shraddha K

Mar 02, 2019

More elaborate lectures would help more!