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学生对 IBM 提供的 Databases and SQL for Data Science 的评价和反馈

4.7
5,938 个评分
556 个审阅

课程概述

Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python. No prior knowledge of databases, SQL, Python, or programming is required. Anyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

热门审阅

TP

Oct 25, 2018

Practice lab assignments were excellent in reinforcing my learning, they were just the right kind of challenging. This course has been the best one in the Data Science Professional series by far.

JM

Feb 28, 2019

Clear, thorough, well-designed. Labs give useful practice, assignments and quizzes test the actual instructional content. This course is by far the best in the IBM Data Science specialization.

筛选依据:

501 - Databases and SQL for Data Science 的 525 个评论(共 549 个)

创建者 Emily

Oct 09, 2018

Easy to follow. But not explained why should it be in detail.

创建者 Kendall G

Oct 31, 2018

This course is not a complete overview of SQL by any means. You will only learn the most basic functions. The value here however is that the course guides you on how to write SQL queries in Python. To round out your SQL skills, you will need to take a more in depth beginner course.

创建者 Marcus V C D

Aug 06, 2018

The last exercise of the last week is not clear how to do it and the server does not run it. There is no assistance from the forum.

创建者 Rohit T G

May 11, 2019

Awesome course. Please also provide job.

创建者 Matthew A

May 12, 2019

This course was OK, but I'd still like to see more hands-on exercises and a final assignment that's more aligned to the prior coursework

创建者 Yike

Jun 26, 2019

Assignment marked by other classmates is not a correct method. classmates often do not read answer carefully and give a correct grade.

创建者 vicky t

Jul 24, 2019

very short course sql should be needed to be taught in detail but it was just basics of the basics

创建者 Abdullah A S S

Aug 03, 2019

dude make the course a bit more human

创建者 Youlin C

Aug 03, 2019

I can't open Db2 console on the IBM cloud, it only showed 502 Bad Gateway. It cost me more time on finding another way to finish the homework.

创建者 Charles O

Jun 05, 2019

The labs did not all connect to the IBM cloud correctly, otherwise the course was fine.

创建者 Niklas M

Jun 06, 2019

Good course, however, it uses a lot of IBM specific tools.

创建者 Yash A B

Jul 05, 2019

Great course for learning how to access Cloud Databases using SQL commands with Python! not so great if you are new to SQL

创建者 Aayush M

Jul 11, 2019

Lecture slides are required. Please note that so much being taught in a small video may slip out of mind and to quickly go through so many syntax would have been possible only if lecture slides would have been provided.

It is not possible to look back into videos again if i want to confirm some syntax.

创建者 Kevin D

Jul 11, 2019

This course is really only useful if you have zero backgrounds or experience with SQL.

创建者 Sanja M

Sep 01, 2019

There are not enough exercises and videos are almost usefull

创建者 Rhett J

Sep 26, 2019

The information in the class is outstanding, the problem is IBM Jupyter Notebooks' kernels fail within 10 minutes, and must be reloaded constantly. The final exam requires 10 answers via Jupyter notebook trial and error, and it took me nearly 3 days of constant refreshing to get this done.

创建者 YIFAN H

Oct 02, 2019

I have many problems when I do my assignment, I think the class don't teach very well

创建者 Nathan P

Oct 10, 2019

Decent course. The SQL code is somewhat different and you need to practice it a lot. I do not think you get enough practice to really know SQL just from this course. There is only a few labs and even in there you only actually type a little bit of SQL

创建者 Magdalena R

Dec 30, 2018

The content is adequate but I found it a bit boring. The classes did not keep my interest.

创建者 Satya B P

Jun 28, 2018

This course is a "Big MESS" to me. SQL they used is completely different. It doesn't accept the normal SQL statements. Column names are case sensitive and Writing the where clause gave me head-ace. It wouldn't accept the straight comparisons. Columns names should be expressed in quotes.I hate this course

创建者 Brandon I

Jun 25, 2018

Not great -- mix of SQL and Python that doesn't do enough SQL. I learned a lot of Python just to make simple database connections and run SQL queries -- it doesn't do justice to Python and isn't very helpful to learn SQL that way. The course would be better with just more SQL, and probably not in IBM cloud services.

创建者 Abhilash L

Jun 20, 2018

Last few lessons are not clearly explained.

创建者 Christoph L

Aug 31, 2018

There were a lot of problems with the online tools needed for this curse. Staff members eventually responded and solved them, but because of it, I went over my time limit and had to pay another month's coursera fees. Seeing as this is an IBM course and the tools were from IBM, I was expecting a smoother experience

创建者 Fei C

Nov 01, 2018

hard to use sql server

创建者 Tanner L C

Nov 16, 2018

Very poorly done. Not enough information on working in the cloud.