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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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451 - 475 de 5,719 revisiones para Introduction to Data Science in Python

por Maitree R

9 de jun. de 2018

It's a nice course for Beginners in Python Programming and who have interest in Data Science. It requires a little dedication and lots of programming. The Discussion Forum is amazing it has everything and special thanks to the Mentors Sophie and Yusuf during the assignments. It requires lots of self-learning and a little research for every programming assignment.

por Jim S

3 de ago. de 2017

Python is huge. Course helps you focus and apply Python to data science.

Me? was new to Python; was novice at programming; had strong background in math and business (both helpful, but not prerequisite); read "Python for Data Analysis" by Wes Mckinney to supplement lack of programming experience -- focused on numpy and pandas chapters; frequented stack overflow

por WANWEIJIE

17 de nov. de 2019

The gains from completing the assignment itself are very large, although this process is very challenging for me who are not familiar with the Python language. Thanks for the help of the teaching assistant. It is recommended that everyone participate in the discussion while studying the course and learn the contents of the discussion. It will be very rewarding.

por Dinesh V

3 de may. de 2017

Excellent introductory course for data analysis in Python, specifically using Pandas library.

I learnt a lot in a short time. Assignments are not easy to solve, they make you think hard, explore more on internet and on user forums, thus making you grasp the topics in depth. This is the best starter course for anyone seeking a career in Data Science using Python.

por Pedro B

24 de mar. de 2019

Although I have been studying and performing data analysis as a beginner this course totally worth the time and effort put on it. Learning to clean code and use Python properly to perform efficient data analysis was quite satisfactory for me. A side dish that I loved was the relevant questions brought for the student to reflect on about ethics in Data Science.

por Brandon V

9 de feb. de 2019

Excellent for anybody who has to manage large amounts of data on a daily basis. I'll admit that the first week I thought, "Whatever, I can do all of this in Excel." Once I got the hang of it, I realized the potential of this material is unmatched, and I started using Python/pandas/NumPy at our machine learning lab to help us with data acquisition and sorting.

por Akash R

29 de sep. de 2020

this course is ultimate and it really gives us knowledge and confidence because after passing this course I have completed another course related pandas, and that was very easy going for me.thanks to Coursera and Christopher brooks,I always prefer the University of Michigan courses because their teacher teaches in such a way that u will feel more confident

por Armel A

15 de jun. de 2017

This course helped me going deeper in the python language, especially for datascience. I learned a lot on two wonderful python librairies : numpy and pandas. The assignments were more complicated than expected but with the help of staff members and classmates I did it. A special thank to Sophie Greene whose intensive comments on the forum were very helpful.

por Alessandro D A

7 de mar. de 2017

Great intro to data science and some of Python libraries for it.

The exercises can be quite difficult, especially if you expect to have all the answers given to you during the lessons. In order to solve some of them you have to search the web to find the commands you need, which I think is a good thing because it teaches an approach useful in real scenarios.

por Kaustubh J

23 de ene. de 2017

a little more help from the video lectures is expected. The assignments required a lot of self study which is great but at the beginning, every assignment looks daunting and discourages a little. Although the forums helped a lot in getting through this course, but the majority of the roadmap to take, and all other lessons should be included in the videos.

por Daniel N

4 de mar. de 2017

Great course!! I've enjoyed the assignments very much - from my part it required a a lot of individual investigation / reading through posts to find possible solutions but that's only fair since this is an intermediate course. It was a fantastic experience as the assignments felt like real projects. Thanks for everyone making this course possible! Daniel

por Mihir G

26 de dic. de 2016

Very comprehensive in terms of the amount of material covered and the content covered in the material. Covers a lot of model building algorithms in addition to machine learning fundamentals. Has an intuition lecture in addition to the fundamentals which helps a lot! A possible change could be to use R to demonstrate the concepts instead of Matlab/Octave.

por Phonkrit B

15 de jul. de 2020

The course was very difficult at the start even though I have completed the course on 'Programming for everybody'. I felt that the content was a bit rushed and was not entirely related to the problem sets. But, I learned the most by searching for solutions on Stackoverflow. It is a difficult course to teach, and I felt that the problem sets were great.

por Ekta T

29 de ago. de 2018

This course has proven to be really helpful to me. I was able to learn additional techniques and ways to use the same libraries. It helped in building core concepts and relate the statistics part to the analysis in python. The complexity level of assignments is pretty good, they challenge you and require a overall knowledge. I will highly recommend it.

por Lucas N S D

11 de mar. de 2018

The course explores different ways to clear data using pandas. The assignments are challenging, since it is impossible to get to the solutions without going through lots of stackoverflow questions. The course also raises questions regarding the future of data and the problems behind the extensive use of pvalues, the p-hacking problem. Very interesting!

por Keyla B

23 de sep. de 2019

This course requires a lot of extra research using the Pandas' documentation and Stack Overflow in order to past the tests, which are very well designed to gained the most important skills. At first I felt this course was very demanding but as I moved forward to the second and third course of the specialization, I realized how much I learned from it.

por Brandon H

23 de nov. de 2016

This course wasn't quite the cakewalk I was expecting it to be, which is perfectly fine! I definitely would recommend this course for anyone looking to pursue data science/machine learning professionally. I learned a lot of skills that employers look for, and have applied the things I've learned here in other course work as well. 5/5 would recommend.

por Siddharth D

14 de ago. de 2020

This is the best course and will make sure you learn pandas, the quintessential tool for data analysis in python. The professor teaches almost nothing, lectures are very thin. He picks you and drops in you in the ocean, now either you will learn how to swim or you will quit the course. Not an easy course, and requires a lot of work from the learner.

por Tianrong W

3 de ago. de 2019

Please give us clearer instructions and definition of terms for each project. I don't want to waste time on understanding questions. Besides, it will be great if you can give us more hints on which functions to use, for each question. Because from my experience I find that reading hight quality codes is the best way to learn a language! Thank you.

por Jim L

29 de ene. de 2019

For the non-programmer, this will take quite a bit longer than you would expect. Very detailed though and the forums provide a lot of help, fortunately since enough people are taking this course to make community feedback useful. A few of the instructors are helpful in discussion forums as well, although sadly not all of them are equally helpful.

por Alper K

22 de jul. de 2020

Even though it was harder than what I expected for an introduction course (actually it says this course requires some previous knowledge and it is an intermediate level course, i just didn't see it), i really liked it. Assignments were very good and they made me learn a lot of things. However, course lecture could be a little bit more explanatory.

por Izabella J

21 de ago. de 2017

Great course. Quite challenging, but the videos gives a lot of informations, so to solve assignments you need only a little of your own research. But you need a lot of your own work in understanding what's going on. Good course, it's not exactly the beginners level, rather beginners +, but after the course you are able to do something on yourself.

por Joseph F

27 de jun. de 2021

Loved the course. If you are interested in data science and want to start from the basics, this is the course. The more you put into the course, the more you get out of it. Don't forget to go through the class exercises. Those are very critical for your learning process. I strongly recommend this course to anyone planning to take up Data Science.

por Jerry S

5 de mar. de 2017

This course is very challenging but worthwhile. Having experiences in data analysis with python, I still feel the assignments are really hard to complete. BUT it is really worthwhile, and I improved my skills in python A LOT! The auto-graded system is AWESOME! I sincerely recommend this course and really appreciate the work of the teaching staff!

por Pawan P S

30 de abr. de 2020

it was a exceptionally remarkable course for anyone who wishes to persue in the field of Data Science in Python Language. Got a headstart for myself also, and hope that it will lay the proper foundations for my career to become a sucessful one and will also grant me with knowlege in my field!

I WILL DEFINITELY COMPLETE THE WHOLE SPECIALIZATION!