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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: 12,821
Рецензии: 1,489

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!

22 апр. 2020 г.

The lessons were short and easy to follow, providing all the basics as well as a few more advanced topics, to get student quickly up-to-speed on databases and SQL and their application in D/S realm.

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26–50 из 1,470 отзывов о курсе Databases and SQL for Data Science with Python

автор: MB

24 мар. 2019 г.

The hands-on labs were extremely engaging and the quizzes were very informative.

автор: Tanveer J

6 июня 2019 г.

Worth all the effort..! Great coursework if you're willing to spend some time to understand DB2 infrastructure,creating Db2 database on IBM Cloud, compose and execute SQL queries, and access a database from Python based Jupyter notebooks. Key takeaways from the course : - Creating databases on IBM Cloud - Troubleshooting basic loading errors - Working closely on creating tables on real time IBM DB2 instances - Connecting to db instances using python and perform basic data summarization - Performing data loading through RestAPI's

автор: Ahmed A

8 окт. 2020 г.

I'm taking it as part of the IBM Data Science professional certificate. Course is OK for an introducion to SQL, although I thought there was too much emphasis on IBM DB2 and nothing else. Would have liked them to show us how to use another API, or how to interface with open source databases like MySQL or PostgreSQL.

I have experience in programming and debugging and therefore did not find this to bother me, but the lack of guidance on how to install missing packages or troubleshoot connexions can be really frustrating for inexperienced people. It's best you do all the assignments in an IBM environment or else you will find yourself troubleshooting for hours on end.

Getting the cvs's for the final assessment was a pain because the links to them were broken! had to search through the forums to find alternative links, which points to a lack to reactivity from the guys in not updating their course material.

That being said I learnt quite a lot from this course, more python and other databases and I would have given 4 stars.

Also, one of the reviewers said you have to pay to get access to the IBM DB2 database if you're not in the US or Canada...this is not the case anymore, did it from europe no problems.

автор: Bernhard M

3 апр. 2019 г.

Using days to find solutions, which are not presented in the course but necessary to get along.

автор: Siddhartha S P

14 окт. 2019 г.

Course is not that informative and it seems in a hurry to complete topics .

автор: George M

1 сент. 2019 г.

too fast and confusing.

автор: Hsin-Yi L

22 янв. 2019 г.

Highly recommended. I was a newbie for mySQL and this course offers a good entry point and insights for database and SQL. The final assignment could be somehow challenging for people without programming experience, but the discussion forum is active and the course instructor Rav is very attentive, responding to questions in the forum. I solved some problems just base on the search funtion in the forum. This is the best course I learned with coursera so far!

автор: Louis C

17 нояб. 2020 г.

This course is great! I have learned so many things from it, thank you very much. I really like the IBM cloud platform, it is easy to use and easy to learn. I am looking forward to having the next course!

автор: Badal S

21 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!

автор: Pallavi K

20 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!

автор: Asif A

30 мая 2020 г.

It's my first course at Coursera and it's quite good. By this course now I'm able to partially working as data analyst soon to be working as full-time analyst.I'm very thankful to the instructor.

автор: Hikkaduwa L M P V

9 апр. 2020 г.

So far in my journey through the IBM Data Science Professional certificate, this course is the best as it contains more practical lab questions after the lectures.

автор: Laxmi Y

19 июля 2019 г.

it is a great course for beginners who wants to have an understanding of Database concepts and hands on experience as well

автор: Juan A

24 мар. 2019 г.

Amazing. The difficult in the SQL is very good to make you think in real life problems.

автор: Ruhul A

10 апр. 2020 г.

its a must skill for everyone into data science field

автор: Cee G B

27 янв. 2020 г.

Videos were good length but automated voice-over, learned SQL in the context of their proprietary Db2 database. To their credit, the lectures were fairly short but contained enough information to take notes and learn SQL, and I finished the course in a short period of time. They don't babble which is nice.

автор: Duy N

1 июля 2018 г.

The course is very helpful and easy to understand. The reason I only gave it 4 stars is because learners had to deal with many technical issues which were not relevant to the study, while doing labs and assignment. The upside is I guess it is part of shaping the right learning attitude. Many thanks!

автор: Rahi J

19 окт. 2020 г.

Was very comfortable in first two weeks, third week is when advance topic was introduced and I couldn't grasp it. I think this course should've continued concentrating on SQL, as the topics and functions are vast for SQL.

автор: Thanakrit P

20 июля 2018 г.

Good course with practical exercise, however some problem on lab exercise connection

автор: pranav v

29 мая 2019 г.

please give details on how to connect database with notebook

автор: Darryl A L

24 дек. 2020 г.

This course does a good job at introducing SQL and use of Jupyter notebooks for database connections. However, the amount of time wasted struggling with the IBM DB2 cloud platform rendered my efforts less than productive. It appears from the forum that other students were running up against the same issues. Please, instructors, have a look and determine what the problems are (and solutions) so that the students' time is better spent.

автор: Chris G

17 дек. 2020 г.

This course OK. The problem is the IBM tools. I frequently have problems with the IBM side not responding. The DB2 cloud app seems like it is frequently having issue. Today I am getting a 502 error so I'm wasting a lot of time not getting things done.

автор: Alula M

7 янв. 2019 г.

The lectures were confusing at first, because the syntax in the lectures did not exactly match the syntax for the assignments (though this issue went away in subsequent weeks).

More exercises would've been nice.

In all, a decent course.

автор: Kifle M

22 мар. 2019 г.

Guidance is not sufficient. Questions are not answered as needed.

автор: Seren K A

21 дек. 2020 г.

Lots of not working stuff in there and it is confusing