(143 avis)
(176 avis)
MM
12 mars 2018
The course is great... You can definitely learn many things... Was kind of hard for me and i went many times back and forth through most of the lectures... However i think i learn many new things....
JG
16 juin 2016
This course was great! I enjoyed parsing different types of data: from documents and the web. This course is definitely (rudimentary) a must take course for anyone who wants to go into data science.
par Deepesh A
•26 févr. 2016
It is good short course but could be better if it is more detailed and l could work on more examples but the last week was awesome.
par David K
•18 mai 2019
The course gives you a quick overview on how web-data, database, and html work together . It is great to practice the techniques.
par Zhai Y
•10 janv. 2016
A bit too easy. I really wish there'd be a more advanced project for us to better understand and implement the database and python
par sandeep a
•14 juin 2016
Touches on a lot of subjects. Each having its own complexity. I'd have loved of the concepts are covered in a little more depth.
par Igor M
•13 janv. 2016
As always great level of teaching by Dr. Chuck, but milestone tasks was not so challenging as within previous course. Thanks!
par Andrew A
•27 déc. 2015
This course could do with harder assignments. This last one was just "run my code" and screenshot stuff. Learned a lot though
par Shiang-ping H
•3 mars 2019
Very practical course introducing into using Python to access Data Base, and manipulating SQL commands to interact with DB.
par Luis D B O
•29 avr. 2016
The course is good but the Content can be improved and enriched. It shall be deeper 'cause databases are a very important t
par LehBee C
•23 oct. 2021
I need this knowledge and skills to do my job. Therefore I would say the course really helps me to work more efficiently.
par Anson C
•17 févr. 2021
Great course but personally I think it will better if Pandas is taught instead of SQL, especially for a beginners course.
par Shane M
•20 janv. 2018
Great course with LOTS of info. I only wish some of the techniques seen in more complex code was talked about a bit more.
par Alaz G Ö
•4 juin 2016
Lecturer is in the right mind, I really liked his presentation and the course itself. Very beneficial for my profession.
par Jingshu G
•29 mars 2018
I like this course, but not as good as the previous three. I think it did not present the database models very clearly.
par YN W
•14 août 2016
An enjoyable presentation of this topic. Gives a decent overview without going into depth. Charles is a great teacher.
par Wojtek G
•25 janv. 2016
Very neat course. I really recommend it for these who start with Python,
or just want to remind themselves such topics.
par Juan C H V
•16 août 2020
Good course, maybe a more hands on assignments to write code starting from scratch. Thanks a lot for the teachings.
par cristian s
•10 févr. 2022
it is just to start an have an idea, give the enough tools to carrion by your self or take a more advanced course.
par Oscar F R P
•14 juin 2020
Peer graded assingments take a lot of time because you need to be graded by three others and a instructure from UM.
par Ayush O
•10 févr. 2018
There should be more exercises and business problems to implement SQL on. Anyways a nice course for SQL beginners.
par Michael G F
•26 juil. 2017
Its good, as the other course, but the extension of the topics, maybe need to make another specialization for it.
par mcvean s
•19 juin 2020
This course is a beginner's guide to Databases, and the concept of using it with Python is taught with clarity.
par Stefan C
•15 nov. 2016
Great information but the homework is a little to easy and I don't think I was able to comprehend it that well.
par Ashish K
•30 déc. 2016
The way dr chuck take us through all the material is quite fascinating and really enjoyed him through all way.
par Bob S
•6 sept. 2017
I wish there were more examples from earlier chapters to help build on the foundation for the later chapters.
par Valentin S
•23 avr. 2016
Topics covered are great, but there is a lack of assignments to be done by students completely on themselves.