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學生對 IBM 提供的 Databases and SQL for Data Science with Python 的評價和反饋

4.6
15,334 個評分
1,956 條評論

課程概述

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....

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BS

2020年5月20日

Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!

PK

2020年8月19日

A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!

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1701 - Databases and SQL for Data Science with Python 的 1725 個評論(共 1,980 個)

創建者 GHANSHYAM T

2022年3月21日

All good

創建者 Isaac N

2019年12月3日

Thank's

創建者 Rehan K

2019年8月7日

helpful

創建者 Djonkou T R

2021年8月3日

C​oool

創建者 Hamza S

2020年4月2日

Good.

創建者 BISHNUPRIYA M (

2022年4月3日

good

創建者 Sirisha S

2021年7月29日

nice

創建者 Arpan C

2021年4月26日

Good

創建者 Ahmed E

2020年6月7日

Good

創建者 chi z

2020年3月23日

nice

創建者 VIGNESHKUMAR R

2019年12月23日

Good

創建者 Cristian M

2019年7月20日

Good

創建者 PARAMDEEP S

2019年4月23日

NICE

創建者 Adil S

2019年1月26日

zbs

創建者 Vikrant M

2020年3月21日

na

創建者 Gerardo R B

2018年10月3日

na

創建者 Ibrahim R

2019年10月17日

.

創建者 Alexander T

2020年5月5日

Week 1 was fine, however I want to complain about the way teaching was handled for week 2.

I am a visual and kinaesthetic learner which means that i really struggle to absorb information audibly, this is fine as in ALL previous courses of the IBM professional certification there are videos supplemented by reading materials and guided labs (I can listen to the videos, and then work my way through the labs to gain understanding of the videos.)

In this course, specifically week two, you had the video, and a lab that had the instructions "do the functions stated in the previous two videos" TWICE.

This is, to pardon my language, total garbage. You are a teaching device who apparently has not bothered to attempt to teach anyone as you can't be bothered to write a brief PDF stating what you want us to do. instead assuming that we will do all the work regardless of whether it's helping our learning or not. I am sure this works fine for some people, for plenty of others it does not.

I'm rating this as all my previous IBM data science courses were very nicely made and acommodated all learning types.I think it's a crying shame that one week has been allowed to be so much worse than the overall level of the course.

創建者 Husayn Z A

2020年5月21日

This was probably the worst course I have ever taken on coursera. Unless you have at least some basic SQL experience, DO NOT take this course. And if you are in the specialisation which requires this course, do some basic SQL from somewhere else and then come to this course. There are a lot of problems with the datasets when you try to load them into the SQL database server in IBM DB2 and most importantly, the video explanations are too hard to understand. They explain most of the things which aren't really important and don't explain things that really DO have some importance. I'm pretty good at SQL myself (said by my cousin an SQL Database Manager for over 5 years) but I still struggled a lot with problem 8, 9 and 10 of the final assignment. Any moderators seeing this, when it is possible, I beg of you, please fix this course. If I hadn't faced any of these problems, this would be a very fun and interesting course. So what happened here? Everything is explained to us like we have mastered the fundamentals already and are coming back for a revision. Truly very disappointed with this course.

創建者 Zoe Y

2021年10月19日

The labs taught me how to write SQL queries in Python for the first time, but the level of difficulty jumps quickly. The videos don't go thoroughly in-depth about how to write queries so when you get to the labs, you are seeing problems for the first time. This means you are learning material there and not practicing enough queries. And basic understanding of how to do certain types of queries is hazy unless you look for outside sources to continue practicing your skills. I also had trouble for 3-4 days trying to connect to labs toward the halfway point of this course. Lot of people complained about connection to DB2.

It is frustrating to work with this course, but I did learn how to write queries more thoroughly because of the structure it gives. I supplemented this course with other online resources to help me through. So I give it a 3-star.

創建者 Norma L

2020年7月26日

I think the course needs a bit more structure and written labs, some of them just tells you to practice what you´ve seen on the videos but I think it would be much more effective if there were more labs with specific problems to solve.

Also in some of the labs some solutions are given without explanations and those havent been even mentioned on the videos or the readings

The forum is not as effective as the previous course I did of this specialization, teaching staff takes ages to answer, and also answers are not satisfactory.

Anyway, the content is interesting and I have enjoyed learning

創建者 Nam N

2021年9月1日

This course content itself is excellent. Full documents, brief and useful guidelines, instructors with nice accent, slides are also presented directly so that the basic of SQL is easy to get. But the minus point is that IBM DB2 service is really bad, lag, slow, and often inaccessible. I found this error had appeared long time ago for many previous learners. Unfortunately a technology giant like IBM can let this happen. They need to invest in maintenance and upgrade the system a lot. The course is worth 5 *, but the Lab system is 1 *, so I give 3 * Overall

創建者 Murtaza S

2020年4月12日

Decent course for an introduction to SQL. Basic commands were introduced well and the Jupyter integration was great for practice.

But the course was a little too basic; could have had more application-oriented content and a steeper difficulty curve. In addition, the Analyzing data with Python video from week 3 had about 1 one minute of voiceover that was completely unrelated to SQL or databases. The voiceover was just about Sodium in Nutrition. Felt very unnecessary.

創建者 Vincent Z

2019年2月10日

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.

創建者 Ruiming Y

2021年4月7日

The criteria for the final assignment is too strict to follow. If I am able to get the right result, why bother in what way I accomplish it? I believe there are many ways to build up the code without using all those DESC method or LIMIT method, and maybe it is a more convenient way. I got 99% for the course and it really makes me annoying that I have to submit over and over again for what I think I have achieved.