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Opiniones y comentarios de aprendices correspondientes a Introduction to Data Science in Python por parte de Universidad de Míchigan

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Acerca del Curso

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....

Principales reseñas

YY

28 de sep. de 2021

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.

PK

9 de may. de 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

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5101 - 5125 de 5,724 revisiones para Introduction to Data Science in Python

por Caroline M

29 de oct. de 2017

Good overall and I liked the instructor. However the assignments are extremely difficult, especially Week 4 and there are not a lot of online resources made available. Definitely not for a beginner!

por murray d

21 de abr. de 2020

Really a struggle to navigate around the discussion forums. The autograder is also a huge challenge. If you can make the actual tests that it runs available up-front would save a lot of time.

por Yiyi C

23 de jun. de 2018

The course schedule is tight. I feel like a little bit hard for non-cs major learners. The good thing is you could still upload your homework even after the deadline before the last day of course.

por Jae H H

3 de abr. de 2018

The course offers very little guidance. Nevertheless, I learned a lot but it's really not that well structured. The course also makes you do homework on something that is not covered in the class.

por Wei L

11 de may. de 2018

i like the course content. but the assignments need improvement as i wasted lot of time due to unclear instructions. also if the professor can compile more content into slides that will be great.

por Nidhin J T

25 de sep. de 2017

It’s very fast paced. Personally I would prefer to spend more time on each topic particularly since it deals with the basics of data science and is very important to understand each topic clearly

por Alexander K

17 de ene. de 2017

Skills acquired when finishing this first course are very useful and applicable. However, lectures and assignments are almost unrelated. This course is nothing for people who are new to python.

por Ruban S

7 de abr. de 2019

The coursework validation could use some work to be more concise with error messages but it's OK as long as you work with it.

Content is good and seems to give a decent coverage to the basics.

por Henrik R

1 de jul. de 2022

Assignments often only accept certain solutions and go beyond what was taught in the class. Otherwise the course is pretty good, but you will spend hours after hours stuck in the assignments.

por Luis V (

22 de mar. de 2021

Great course, but the programming assignments take too long time and are more than python only assignments, researching about geography or where a team belongs to, that takes a lot of time.

por Mark E

14 de mar. de 2017

This course relies almost exclusively on self learning of the details of pandas. It would be greatly improved by examples of how to use pandas to solve problems similar to the assignments.

por Kevin d V

6 de dic. de 2017

I learned a lot. But be aware that programming skills are a requirement for this course and that you will have to research the web (stackoverflow, pandas documentation) on your own a lot.

por Sebastian R

3 de dic. de 2019

Good course i.g! But it is quite annoying, that the auto grader (python 3.5 ?) does not behave like the online coursera notebook (python 3.6.2), which leads to errors at the evaluation.

por M J

21 de dic. de 2017

Course material is good, covers the right topics to get started with python and pandas. Assignments and especially the grading process require a bit more patience than I was expecting.

por Kalle A

3 de ene. de 2018

I enjoyed the course, but I think the exercises could be improved a bit. Especially in the last two ones could have better explanations and examples of what's expected from the answer.

por wilfried l

26 de dic. de 2019

You will learn a lot, by yourself to solve the assignment.

Which could be see as a good way to learn

Time to do each assignment is clearly under estimated. You can multiply by 2 easily

por Juan C M

4 de jul. de 2020

Too much self-learning taking into account that this is supposed to be a course, could make example projects for better understanding instead of jumping right away to the assignment.

por Itzhak K

5 de nov. de 2019

The course was fine, but the last assignment was too hard for me. And I think that for Introduction to data science - the first course in the series it shouldn't be so complicated.

por Rhishikesh J

29 de mar. de 2018

Amazing course for an introduction to the pandas library and its main data structures Series and DataFrame.

Improvements could be made to the hypothesis testing section of the course.

por Aarya B

15 de sep. de 2019

Great explanation. But the speed of tutor is quite fast, so one needs to rewatch again and again. And for better understanding one has to practice questions from external resources.

por Fei Y

28 de oct. de 2018

You should break assignment into smaller substeps. You should also provide more comments like 'your dataframe size is incorrect or starting from which line you result has error'.

por Lucas S D S

16 de jun. de 2020

It's a really challenging course for someone with an intermediate level of Python and pandas, I really enjoyed . The only minor point is the quality of the theory on the videos.

por Paolo V P

14 de sep. de 2019

Requires some knowledge of the topics covered, otherwise the lessons are hard to follow.

More examples should be given for each topic, to consolidate the student's understanding.

por Rajat S

12 de sep. de 2018

GREAT assignments, average-ish course instruction. Would recommend just for the assignments, great way to get your hands dirty with data manipulation work in python using pandas

por Joanne L

24 de feb. de 2019

Prior coding experience would definitely make this course easier to pick up. A lot of the learning i found isn't driven from the videos itself but from just constant googling.