Chevron Left
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: 23,828
Рецензии: 5,350

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:

5101–5125 из 5,272 отзывов о курсе Introduction to Data Science in Python

автор: Emil K

5 янв. 2017 г.

Many bugs, lecture content does not cover topics required to complete the assignments, assignment instructions are not written in a clear way.

автор: KAMAL G

7 окт. 2018 г.

The speaker speaks too fast for any useful "sharing". One need to do reverse engineering to understand the code and underlying concept.

автор: Adam R

20 авг. 2018 г.

Videos not very explanatory, ended up being a lot of self-teaching, video seemed too scripted and didn't really explain concepts well

автор: Chenfeng L

13 нояб. 2016 г.

Good course materials and the assignment itself is pretty good, but the grader is buggy, not informative and wasted a lot of my time.

автор: Manya A

31 янв. 2017 г.

Too much focus on databases and database operations, rather than data science.

The assignments are too difficult for a 4 week course.

автор: MAHESWAR N

28 июля 2019 г.

Assignments were not clearly documented, causing lot of time spent in understanding the requirements than implementing a solution.

автор: Dilpreet S N

2 апр. 2020 г.

The course is very fast-paced and explanations are not clear neither detailed, it looks like instructors are just doing formality

автор: Sarah S

30 мар. 2021 г.

This is a poorly taught course which tells you to go away and teach yourself data science rather than teaching you data science.

автор: Abhishek c

7 июня 2019 г.

The learning is very fast paced.It seems like the trainer is in hurry.He just touched some keyword without going into details.

автор: Kush S

20 мая 2020 г.

The instructor is very fast and assignments are very tough. Their is huge difference between the course and the structure.

автор: Shrey S M

17 июня 2020 г.

Pretty difficult course I would recommend the instructions to be more clear and assignments a little more easier .

автор: Abhimanyu S

9 апр. 2020 г.

Videos are too fast and the assignments are barely dependent on the videos. Had to spend a lot of time on Google.

автор: Yiren J

15 мая 2017 г.

The materials are great, but the pace is too fast, I can hardy catch up. Really need to slow down a little bit.

автор: Apurv G

31 мар. 2020 г.

2 stars only for the great assignments. Whatever I learnt in this course is through google and assignments.

автор: Shahar M

19 нояб. 2017 г.

The lectures are much too concise, practice is scarce which renders an overall frustrating experience.

автор: Cecilia G M

7 мар. 2017 г.

Need clearer examples and explanations. Slides summing up concepts or used functions will be great.

автор: Dirk

28 мая 2019 г.

Do you want all the fun sucked out of Data Science! This course's autograder will do it for you!

автор: Burak C

24 янв. 2021 г.

At times the assignments are more confusing than teachin, especially for non-english speakers

автор: Jordan T

18 авг. 2020 г.

Good course but somethings are not explicitly stated when it comes to the exams and quizzes.

автор: naman S

31 июля 2019 г.

faculty not that good as compared to my last course's.Charles severance was a great teacher.

автор: Kamlesh k J

9 июня 2020 г.

I didn't find it good, it's pretty much straight forward with no explanation as such..

автор: sparsh d

2 мая 2020 г.

Instructor hardly teaches anything and gives you the toughest assignments to do.

автор: Scott L

16 апр. 2020 г.

Pointless course. They teach you very little. Google is your actual teacher.

автор: Ridhi G

2 февр. 2018 г.

the level taught in the course did not match the level of given assignments.

автор: Alakesh B

9 июня 2020 г.

Lectures were not clear and too short. A lot of external study is required