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

4.7
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Оценки: 12,308
Рецензии: 1,411

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

BS
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!

SA
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.

Фильтр по:

126–150 из 1,391 отзывов о курсе Databases and SQL for Data Science

автор: Ajith R

17 авг. 2020 г.

I loved the training and the material as well. The only thing painful was doing the peer assignment, you need to take screenshot and then upload. It would have been easier if we could have just click on the Submit in the juypter notebook.

автор: Himesh K

15 июня 2019 г.

Awesome course to gain practical knowledge of using databases from the cloud with a jupiter notebook. The course was really helpful and helped to gain an overview. An increased thirst to have better knowledge/grip on the user perspective.

автор: Damilola O

18 мая 2020 г.

While this course is a demanding one, it is also quite interesting and well loaded with deep knowledge. I enjoyed every bit of it and I did not mind the time I had to keep up late some nights running Jupyter Notebook and querying data.

автор: Jafed E G

6 июля 2019 г.

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

автор: Diego M

28 июня 2019 г.

Great introduction!

I had no experience with SQL at all. This course helped a lot in understanding many details about RDBMS.

I can now do many useful queries and have a head start when start to read a RDBMS book to deep my knowledge!

автор: CHUA W K

8 июля 2020 г.

This problem is excellent , i've totally no experience in programming but i still can success for the assignment ! be patient , re-watch all those videos , it will help you to understand the sequences and your assignment needed!

автор: Muhammad A

22 авг. 2019 г.

Although I have previous knowledge about SQL and databases, I have worked on Oracle 11g as well but by doing this course now i am able to connect IBM-db2 API with python. I have learned how to code in python to access databases

автор: Nikhil J

13 апр. 2020 г.

Definitely recommended. Great course, good basics, and assignments. But, IBM Cloud throws random errors sometimes when you try to open the db2 console (402, 502, 404). Just refresh it multiple times. Should solve the problem.

автор: Anil k

12 дек. 2019 г.

This is best platform to improve your skills, i got to much practical knowledge to work forward for my career. i would highly recommend everyone , who is reading this, go for it. You would thank me later for recommendation..

автор: Vladimir A

6 сент. 2019 г.

This course has great technical support and good material. The lectures are informative and understandable. I first met such a quick feedback from the course technicians. It 's a great cloud lab experience. You 'll like it.

автор: Mukkesh G

30 мая 2019 г.

This course starts with the basics and gradually covers most of the topics in SQL. The hands-on lab exercises are extremely useful and give the learner a good command over practical applications of SQL+Python architecture.

автор: Chris A B

8 июня 2019 г.

I enjoyed learning about Data Science and the use of Cognitive Class Labs, IBM Watson Studio, IBM Cloud, IBM DB2, Jupyter Notebooks and Python. I am looking forward to subscribing to the Professional Specialization next.

автор: Bhanu P E

24 июля 2019 г.

This is an excellent course covering end to end SQL and python/Jupytr notebook integration as this forms the basis of data import going forward. The Ungraded labs and Final assignments were really good hands on practice.

автор: Jesús G A S

10 июня 2019 г.

Probably the best course in the specialization thus far! Notebooks provided are invaluable to learn how to interface a jupyter notebook with IBM cloud. I had not found this information elsewhere in such a concise manner.

автор: ashirwad s

29 июля 2019 г.

The course was well structured and elaborated. It was a combination of hands-on as well as lectures on essential concepts of Databases with knowledge on using IBM DB2 in IBM Cloud. This was a really helpful experience.

автор: Jiahui C

30 мая 2019 г.

A very comprehensive and introductory course in SQL and data science. If you have no background in SQL and interested in learning it, you should take this class. And the specialization that this course is in is useful.

автор: Alesia V

13 окт. 2020 г.

This was a wonderful introductory course which got me inspired to embark on a SQL learning journey. I loved the practical real-life application of the study materials introduced in the course labs. Thank you IBM team!

автор: Truong P H G

20 мар. 2020 г.

This course is exceedingly practical and knowledgeable of SQL commands, IBM cloud database Db2, visualization with python on Jupyter notebooks. Thanks so much for IBM, the instructor, Coursera for building this course

автор: Wang P

21 февр. 2019 г.

I like the practice in this class. Playing with real data is so interesting.

SQL language is not so complicated itself and with enough practice I feel that I understand how to combine several queries in proper order.

автор: Azhan A

5 сент. 2019 г.

Great Course, polished my skills on SQL. I must say it s a challenging course. I've previously completed SQL course but it also teaches you how to connect it with IBM cloud which is I think is a great initiative.

автор: Muhammad F D

20 мар. 2020 г.

The only comment is that the usage of DB2 of IBM may not be available all the time. So, suggest if you can mention other tools that can be used locally on PC to help student to follow up and complete the tasks.

автор: Maksim M

9 апр. 2019 г.

The most serious and closest to professional course I've taken on Coursera so far (out of about 20). Both fundamentals and real-life practical skills are taught in a plain and clear manner. The Labs are great.

автор: Kaitlyn

20 июня 2018 г.

Great course! I learned the basics of SQL. Wish there was a more in depth discussion of SQL and its capabilities, but I received a great base and it helped me remember everything I had forgotten from college.

автор: Abigail B

6 февр. 2020 г.

Excellent introduction to SQL as well as using SQL within a Python environment to query data. Provides a solid background in basic database management and utility, as well as a good transition into analysis.

автор: Brian B

25 нояб. 2020 г.

Good hands-on practice with SQL in a Python and Data Science context. Covers the very basics of SQL, including relational database fundamentals plus DDL, and then builds to some decent challenging queries.