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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
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7,762 个评分
741 条评论

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:

651 - Databases and SQL for Data Science 的 675 个评论(共 734 个)

创建者 Ibrahim R

Oct 17, 2019

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创建者 Vincent Z

Feb 10, 2019

This is a shallow introduction to SQL. Python API is shown, but not used in the assignments. The videos are OK at best, and many times, the examples are not the best, in that they don't really show why one would use, say, a left join instead of full join operation in real life. The earlier weeks need more exercices. However, the final week is quite good. At least the exercices and final quiz makes you think a little.

创建者 Stephen S

Jan 01, 2019

I wanted to like this course more, but wow was it dry. There were a lot of small nuisances with having so many logins to access course material that made things frustrating at times. Although, the point is to get you accustomed to an IBM centric workflow, that when you start to learn it, its not bad. I did enjoy the final project, and found it to be the redeeming quality of this course.

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 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 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 Ozge I

Feb 01, 2019

Some quizzes include questions about materials not yet introduced. The material could be much more interesting with more interesting and interactive examples. Hands-on Labs should include new materials rather than letting the students rewrite given queries in sql.

创建者 Hui W F

Dec 24, 2019

Some of the instructions in the course are not as clear as those provided by other Coursera's courses. There are some sections with outdated screenshots and typos. This disrupts the learning process and requires extra time to guess and sort out the materials.

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 Rebecca M

Nov 08, 2019

a few issues on the assignment which lead to a couple of extensions in the deadline, adding a month extra to pay for, Not all the screen shots were the same in the demos as the interfaces have changed slightly. apart from that a good course

创建者 Kristen P

Oct 14, 2019

In the intro to data science specialization, this course is a relatively steep step up from the previous one 'Data science methodology.' Perhaps obtaining some basic understanding of Python prior to taking this course would help

创建者 Shan C

Nov 03, 2019

Overall the course provides the concept of SQL and a great picture. Just with technical issue in the Peer-Graded Assignment, causing spending loads of time to find out the solution, which those time could have been saved.

创建者 Parth R J

Feb 05, 2019

the course is good but the way they teach you is not as good as other IBM courses it was bit confusing for me where to write the code etc the instructions were not as clear as they should be

创建者 Brent M

Nov 15, 2019

Not super clear and struggles a bit with accessing and connecting to the DB2 I think the examples should match what is on the assignment and really break down the query language.

创建者 Sisir K

Feb 07, 2019

The speaker in the videos goes too fast. The hands-on labs are very useful and were my primary sources of learning. The videos didn’t help much with the learning process.

创建者 Aniruddh G

Apr 11, 2019

The environment is difficult to set up. For someone who knows SQL and has worked on other platforms the IBM Cloud and workspace are difficult to set up.

创建者 Vyacheslav I

Nov 25, 2019

A little to none explanations, very easy quizzes. Low quality slides. Good if you want to remember lines without understanding what they are doing.

创建者 Aakash A

Feb 15, 2019

Learnt a lot about connecting database from python and how jupyter notebooks are useful.

Please mention IBM DB2 only, if it covers only IBM DB2.

Thanks

创建者 Roger S

Dec 29, 2018

Getting the right syntax for Python and SQL together was really tricky/difficult. I wish there were a reference book/website for additional study.

创建者 Akash J C

Oct 26, 2019

Some of the documents which are referring to IBM cloud are outdated. Otherwise this course is really good some one like who is beginner in SQL.

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 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 Leonardo A R P

Oct 25, 2019

It's nice and it teaches you about SQL, but it lacks practice exercises and sometimes is oversimplified and can be too easy.

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