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

Оценки: 22,540
Рецензии: 5,049

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


Mar 16, 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

Фильтр по:

4826–4850 из 4,972 отзывов о курсе Introduction to Data Science in Python

автор: Cunyuan Z

Jul 09, 2019

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

автор: Jair G

Jan 13, 2018

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

автор: pouya g

Jul 01, 2019

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

автор: Hussain

May 01, 2020

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

автор: Rishi B

Jul 22, 2018

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

автор: Akansha

Jun 01, 2020

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

автор: Nishant B

Jun 13, 2018

Very fast paced and concepts explanation was not upto the mark

автор: shailja

Jun 01, 2020

very tough tutorial is easy but assignment are very tough.

автор: Satyam c

May 25, 2020

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

автор: Shivani P

Jul 09, 2019

The lectures were not enough for the assignments provided

автор: Alejandro P A

Dec 22, 2017

Good content but too fast pace and confusing assigments.

автор: Camilo E A P

Aug 28, 2019

Jupyter notebook for assignments do not work properly.

автор: Sayali B

Jun 20, 2018

The questions are very hard and not covered in training

автор: Harshith S

May 23, 2019

Dint teach anything used in the assignments properly

автор: Joao V O C d B

Jul 27, 2020

The problem is the lack of practical exercises

автор: Christalin D

Jun 21, 2020

It's asking for money to continue the course

автор: Hari S S

Jul 30, 2020

A bit more motivation needed in this course

автор: W N

Nov 27, 2016

Good material, let down by instructors.

автор: laxmi n r j

Sep 03, 2017

Its too fast paced and less elaborated

автор: Alexander K

Apr 14, 2020

Nothing new. I recalled what I knew

автор: Stefano M

May 27, 2019

The lessons were too fast and dense

автор: Pranav t p

Sep 28, 2020

Very fast paced and poorly taught.

автор: Daniele

Mar 01, 2018

Theory is not related to exercises

автор: 김민섭

Apr 28, 2020

Good materials, annoying grading.

автор: Nachiketa N

Aug 21, 2020

Should have been more detailed