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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

4.5
звезд
Оценки: 24,688
Рецензии: 5,539

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

PK
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

AU
9 дек. 2017 г.

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:

5326–5350 из 5,483 отзывов о курсе Introduction to Data Science in Python

автор: Jair G

13 янв. 2018 г.

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

автор: pouya g

1 июля 2019 г.

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

автор: Hussain

1 мая 2020 г.

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

автор: Rishi B

22 июля 2018 г.

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

автор: Akansha

1 июня 2020 г.

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

автор: Nishant B

13 июня 2018 г.

Very fast paced and concepts explanation was not upto the mark

автор: OdmaaByambasuren

5 нояб. 2020 г.

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

автор: shailja

1 июня 2020 г.

very tough tutorial is easy but assignment are very tough.

автор: Satyam c

25 мая 2020 г.

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

автор: Shivani P

9 июля 2019 г.

The lectures were not enough for the assignments provided

автор: Alejandro P A

22 дек. 2017 г.

Good content but too fast pace and confusing assigments.

автор: Camilo E A P

27 авг. 2019 г.

Jupyter notebook for assignments do not work properly.

автор: Sayali B

20 июня 2018 г.

The questions are very hard and not covered in training

автор: Deepalakshmi K

23 мая 2019 г.

Dint teach anything used in the assignments properly

автор: Joao V O C d B

27 июля 2020 г.

The problem is the lack of practical exercises

автор: Christalin D

21 июня 2020 г.

It's asking for money to continue the course

автор: Hari S S

30 июля 2020 г.

A bit more motivation needed in this course

автор: W N

27 нояб. 2016 г.

Good material, let down by instructors.

автор: laxmi n r j

3 сент. 2017 г.

Its too fast paced and less elaborated

автор: Alexander K

14 апр. 2020 г.

Nothing new. I recalled what I knew

автор: Stefano M

27 мая 2019 г.

The lessons were too fast and dense

автор: Daniele

1 мар. 2018 г.

Theory is not related to exercises

автор: 김민섭

27 апр. 2020 г.

Good materials, annoying grading.

автор: Nachiketa N

21 авг. 2020 г.

Should have been more detailed

автор: LUKAS E G

11 сент. 2020 г.

Better reading a pandas book.