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Bewertung und Feedback des Lernenden für Basic Data Processing and Visualization von University of California San Diego

177 Bewertungen
51 Bewertungen

Über den Kurs

This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. This course will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization....



16. Sep. 2020

This course is more rewarding than I thought. The instructors give step by step explanation of the process also the syllabus of the course is just perfect, Highly recommended.


19. Nov. 2020

Goes into great detail on ways to actually use the code in sophisticated and useful ways. I feel like this course has started me on building a great python toolkit.

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26 - 50 von 51 Bewertungen für Basic Data Processing and Visualization

von Vinod P P

1. Okt. 2020

This is a good course to learn.

von Toño G

25. Nov. 2020

Excelent course

von Hemanth C

17. Apr. 2020

Perfect Course

von Khristian D L V

10. Juni 2021

G​ood Course

von Ortiz G B E

18. Apr. 2022

muy bueno


29. Juli 2020


von Nguyen T

13. Juni 2020

This course is pretty good. Both instructors explains concepts well and the Python demonstrations show that they use Python a lot in their everyday lives, but some of the lectures videos have a lot of repetition because the instructors misread a line or forgot to bring up a concept, so it slows the momentum and flow of the explanation. Was a retake of the video really difficult? There are also long periods of silence that can be rather weird, why was this not edited out? The rating should be a 3.5 stars out of 5 but there isn't 3.5 so I give it a 4 here.

von Apoorv G

17. Jan. 2021

If someone wants to make their carrier in Data science,It is one fundamental course towards it.

The course is good with engaging assignments,quizzes and projects.

von Lasal J

4. März 2021

I wish the lectures are a bit more engaging. But content-wise it is good.

von Aniket-ZA R

4. Feb. 2022

Good course, provided nice handson experience


20. Mai 2021

topics were clearly explained ...

von Xuejie Z

24. Jan. 2020

nice basic python course

von Sebastian S

22. Juni 2019

The positives: I liked the design of the final project, and how users were encouraged to 'get out there' and find some interesting open source data sets. The lectures were well structured with good narratives and good examples.

The negatives: I would have liked a bit more focus on actual visualization libraries like matplotlib and maybe seaborn. When covering the data types (date, string, boolean etc.), it might be worth adding an extra week or so were these things are done with the help of the standard library pandas. I feel like this is what people will end up doing anyway bc there are so little alternatives in python to do processing, so a course on data processing should ideally cover that library.

von Ioana B

11. Okt. 2019

The information learned in this course is very useful, for a beginner in data science. It is a very good introduction in working with python, extracting data-sets, defining features and plotting graphics.

What I didn't like at all is the engagement. Finishing the course was not satisfactory at all for me - even if I submitted my project on time, I didn't receive 3 reviews and I found the grading system very subjective. Knowing this, I would think twice about paying for this experience - what I learned can be found in free tutorials too, and only for the interaction with other users I don't think it is worth the price.

von Luciano G D

8. Mai 2020

I have to say this is a great course. I should rate like 5 stars. But the coursera way to assess the final projects is not correct. Your final score can't be decreased if you don't have any feedback about the reason. This is not a fair scoring system.

von Jonas J T

22. Aug. 2019

Quick intro to data processing. More material on numpy and pandas would have been nice. Im still trying to figure out why the specialization mentions "Design Thinking". At least in this course...not a single design thinking concept was mentioned.

von Martin L

22. Sep. 2020

This course overall is good but it really doesn't use the latest data manipulating library (Pandas). That needs to be added as that is what almost every Data Scientist in my company uses.

von Lam C V D

23. Aug. 2020

Several important Data Science library like Pandas are not taught at all, codes are written in long winded matter when there are better coding ways to do

von Kotronis A

30. Nov. 2019

very subjective assignments

von Olivia Z

3. Nov. 2020

The notes are not very clear and no body is answering the students' questions.

von Luiz V K M

4. Apr. 2020

it's not a intermediate level course, it's a really basic one

von Davide C

18. Juni 2019

The test scripts make no sense.

von Zihaohan S

27. Sep. 2021

n​ot very user-friendly. why they cannot link the data set directly? I find asking users to download the files are annoying and totally unnecessary.

von Lucas O

15. Mai 2020

No clear instruction on how to download datasets. If we can't download the dataset, how are we suppose to proceed with the class.

von Matthias K

14. Sep. 2020

I need to unenroll as I did not apply FA