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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: 25,768
Рецензии: 5,734

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 5,687 отзывов о курсе Introduction to Data Science in Python

автор: Artium B

8 авг. 2019 г.

course material is not explained in a way that teaches good coding skills, and many missing material to complete the assignments

автор: Anshupriya S

3 мая 2018 г.

I liked the first course more. I think that the content was not explained as well as Dr. Chuck did in the introductory course.

автор: ALONSO A R P D A

1 июня 2020 г.

The videos are good but aren´t sufficient to teach ways to do the assigments, this way assigments bring in hard things to do

автор: manya g

14 мая 2020 г.

the instructor has not explained the codes properly at many places. it seemed like as though he was just reading the codes!

автор: JINSEOB S

26 нояб. 2018 г.

if you are a beginner, this course consumes a large amount of time.

Though it is helpful, you need more efforts than thought

автор: Dimal D

15 мая 2020 г.

Overall pace of the course was more compared to other courses and doing assignments with limited resources was a challenge

автор: Mohamed E A B

26 окт. 2019 г.

I have found some issues with the grader where it inputs correct results in the assignment, but the grading keeps failing.

автор: Markus B

2 дек. 2017 г.

The course materials is very good but very fast. The assignments (especially the last one) could be a bit better explained

автор: Atakan B

4 июня 2020 г.

instructor could teach better and wider every learning ability must be made by your self and this is making course harder

автор: Sheikh M A

19 апр. 2020 г.

I think the method of the instructor was quite bookish and not explanatory. it felt like he was reading it out of a book.

автор: Alvaro P

7 июля 2018 г.

Really hard to follow, it took me almost 2 months to complete the course and i had experience with python and sql server.

автор: Alexandra

26 мая 2021 г.

Great course! However, it requires a little independent learning and the assignments take a very long time to complete.

автор: ATYAM D

10 мая 2020 г.

Assignments are very nice which helps in gaining good knowledge but explanation videos are not reached my expectations..

автор: Rishik G

4 мая 2020 г.

assignments are tough, the instructor could show a lot more in pandas and go through a specific workflow which will help

автор: jeevan r

13 апр. 2020 г.

i have learn basics of this course its too comfort to learn and understand the lectures and i am happy with the course

автор: Kamran K

9 сент. 2020 г.

It was very beneficial for those who are familiar with python basics and want to learn advance python of data science

автор: R. P R

26 янв. 2017 г.

Last assignment was *painful*: Poorly described instructions, outcomes/outpu; the grader was opaque and largely mute.

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