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Capstone: Retrieving, Processing, and Visualizing Data with Python に戻る

ミシガン大学(University of Michigan) による Capstone: Retrieving, Processing, and Visualizing Data with Python の受講者のレビューおよびフィードバック

4.7
12,453件の評価

コースについて

In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapters 15 and 16 from the book “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3....
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Informative course

(132件のレビュー)

Relevant project

(132件のレビュー)

人気のレビュー

AG

2021年7月9日

Now I understand how data mining, API's and dumping and retrieving data from a database works. Excellent course to start understanding how python can be used to work with data sources on the internet.

BC

2020年4月28日

Now I understand how data mining, API's and dumping and retrieving data from a database works. Excellent course to start understanding how python can be used to work with data sources on the internet.

フィルター:

Capstone: Retrieving, Processing, and Visualizing Data with Python: 1276 - 1300 / 1,601 レビュー

by Pooja C

2018年9月20日

good

by Chavali S

2018年9月19日

nice

by Bhupathiraju k

2018年7月20日

good

by vasavi

2018年6月13日

good

by Vedant G

2017年5月14日

Best

by 林玮

2016年11月3日

非常棒!

by 朱荣荣

2016年6月17日

good

by Ricardo I P U

2021年2月22日

top

by ANANYA K

2020年6月4日

nyc

by Leonardo E S P

2021年9月12日

ok

by Bijin B

2020年7月25日

OK

by Luis A S R

2020年6月29日

ok

by Jatin G

2020年5月26日

ok

by Shital B

2020年5月4日

ok

by Ming G

2019年10月16日

gj

by Peddireddy P

2020年7月29日

.

by PONNAMPALLE B G L L

2020年4月14日

m

by Shuning

2018年2月18日

!

by Ben L

2017年8月4日

I liked the idea of doing a capstone project to bring together all of the skills of the previous courses. This course is pretty good and Dr. Chuck's teaching style is a plus as always. But there were a few reasons why I was a little less enthusiastic than the previous courses of this specialization. For this capstone, the videos aren't all that helpful when the assignments require few changes to the scripts that are readily available. The most I learned was when I was working on a project or question that I was interested in. If I got stuck, then I would then go back and watch the videos in closer detail where I got stuck and/or code in the examples. That would solidify the lessons a little bit more in my head. The quiz format in the earlier courses was great but it wasn't included here, partly because of the format. What could be done in the capstone is to have snippets of code that are missing then ask us to fill it in. Alternatively, you can have different snippets of code and ask us which is correct to properly execute a section. In addition, I thought we would get to present our coding work on the project of interest, even if it was just optional. Sharing our work would have allowed for a shared sense of accomplishment with others who finished the specialization. Group gratification can be a good motivator. In the end, though, I really enjoyed this specialization and enjoyed completing the courses.

by Николай В П

2020年5月4日

I wanted to mention that this last course in the specialization, despite being as great as the other four, has a huge number of typos. I took screenshots of some of them which I can share at nicolas.posunko@gmail.com. I'll try to list those I noticed since I can't paste the screenshots here:

— Week 7 > Visualizing new Data Sources - Introduction: This week you will discuss the analysis of your data *to the class*.

— Final test: Which of the following lines will never print out regardless *fo* the value of "x"?

— Final test: To *insure* that all Python reserved words are properly spelled.

— Week 4 > Loading and Modeling Mail Data: *This assignment you will start* the spidering of …

— Week 4 > Mailing List Data - Part I: … and it *make* take a few days to get graded.

— Week 5 > README: Analyzing an EMAIL Archive from gmane and *vizualizing* the data …

— Week 6 > Visualizing Email Data: … we must *be* remember that not all …

— Week 6 > Visualizing Email Data: This is also a good time *to remember to remind* those with slow …

by Aman R

2022年7月18日

I think this is a great beginners course on how to code, and the foundational concepts you will need to know to do work as a Data Aanlyst/Python user. That being said, while the lectures and sample code are great, I feel that the assignments were too easy / not challenging enough to really engrain the material.

There is lots of sample code that uses things we did not learn, and while the lectures explain this, it can be a bit dizzying at first as they rapidly move through content. I think with more fleshed out assignments requiring the student to create and build more of the code would solve some of these issues.

by AMIT G

2017年6月16日

The capstone project should be more involving in terms of coding in python. Mostly I do is to run the same files in the same order to parse the same information which Dr. Chuck has already extracted in the videos and doing all the steps same. It is lagging the novelty from the student part. There should a section where we got to write some part of the code to perform certain steps, may be code correction, may be changing some steps to bring out a different output. Although the teaching style of Dr. Chuck is commendable and so is the course material.

by Yaroslav K

2020年5月8日

Sorry to say, but this should be the best part of the specialization, but a lot of things are really covered very fast. I didn't like the scheme where you could earn your certificate from the first week just by answering the questions from the previous parts. A lot of people have this certificate as a motivation to make something extra and move forward. Of course, there is a lot of useful materials on this course, but as I said earlier the level of their coverage is not a level of Dr. Chuck.

by Marinus C H

2017年9月9日

If you have done the exercise from the book in Chapter 16 you pretty much have done the capstone, apart from the additional optional ones. It would have been better if this would have been new exercises as this really would create some focus on all the previous materials. Still I feel it is worth doing as this is the final piece in the Python for Everybody course. Overall it has been a fun and great experience, so thank you Dr Chuck!

by Sungyun K

2019年10月24日

Course materials were ok for me, just giving a working program and executing. But grading needs to be improved. I think all automatic grading or all peer grading are better. It looked like that there are too many students compared to the grader and the grader could not grade on time. Maybe the grader should grade only seriously flawed ones reported by peers. I had to pay another 49$ due to the late grading.