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Вернуться к Databases and SQL for Data Science with Python

Отзывы учащихся о курсе Databases and SQL for Data Science with Python от партнера IBM

Оценки: 15,150
Рецензии: 1,923

О курсе

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....

Лучшие рецензии


20 мая 2020 г.

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!


19 авг. 2020 г.

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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1751–1775 из 1,942 отзывов о курсе Databases and SQL for Data Science with Python

автор: Yike

26 июня 2019 г.

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

автор: Anisha Z

30 мар. 2020 г.

Does a good job explaining SQL queries. But the final assignment has to be designed better. There are too many repetitive questions.

автор: Marcus V C D

6 авг. 2018 г.

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.

автор: Linda K

29 дек. 2021 г.

I had difficulty accessing libraries and found discrepancies between instructions and IBM UI.

The course material was pretty good.

автор: Arda U

18 февр. 2021 г.

Instructions for the labs were not clear and indeed IBM DB2 was a little laggy and was not quite an easy platform for a beginner.

автор: Rafael P S

9 нояб. 2021 г.

For those who have never worked with SQL this is a good course. For anyone who has worked with SQL, it's like rain in the wet.

автор: Hashem A

5 янв. 2022 г.

The course great. however, some problems was faced during week 4 only. I'm glad about the instructors was doing awesome help.

автор: Leonardo A R P

25 окт. 2019 г.

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

автор: Nikolaos M

16 окт. 2021 г.

T​he content of the course is good, but the coding notebooks of the last weeks are full of bugs, which is quite irretating.

автор: Yash A B

4 июля 2019 г.

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

автор: DiAndré

19 нояб. 2019 г.

Once on cuts through all the challenges using IBM cloud, the learning was great. Glad I know so much more about SQL now.

автор: Zaidat I

23 янв. 2020 г.

The final project might need to be reviewed. So much time was spent trying to load one of the .csv files without error!

автор: Cevdet U E

28 окт. 2021 г.

Very bad online SQL system. Very complicated and buggy. You get lots of errors when you want to upload a CSV file.

автор: Mathieu T

23 апр. 2021 г.

Many dead links and typos in the course. Plus the Lab is down. Great content but this course should be reviewed.

автор: Bob D

29 окт. 2021 г.

Some good exercises and material, but I was hindered for several frustrating weeks by technical problems.

автор: Mayank S

25 нояб. 2019 г.

an unnecessary emphasis on using ibm tools which many times don't get interconnected is a big turn-down.

автор: Kunal S

10 июня 2020 г.

A good starter course with good insights for those who are new to SQL and using Python for Data Science

автор: Yadder A

8 февр. 2020 г.

It has the most basic about databases and how to connect python with an database instance on IBM Cloud.

автор: Miguel A M P

5 июля 2021 г.

The evaluation system is more theoretical than practical. Working with the IBM DB2 cloud is tedious.

автор: KODJO E K

26 окт. 2021 г.

There were too many issues with Jupiterlabs. Had to constantly download course onto Watson Studios.

автор: Lakshya

29 июня 2020 г.

More practice questions required for practice. needed more elaboration on Db-Api part of the course

автор: vicky t

24 июля 2019 г.

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

автор: Harshit L

12 нояб. 2021 г.

It was really painful to connect db2 with python. However, my queries were answered very quickly.

автор: hugo f

5 июля 2021 г.

The content of the course is good but the tool IBM cloud have troubles when using free account

автор: Gaurish G

22 июля 2021 г.

Most of the time wasted to complete my final assignment due to connection issue with IBM DB2