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

4.7
звезд
Оценки: 8,911
Рецензии: 886

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

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.

Фильтр по:

301–325 из 875 отзывов о курсе Databases and SQL for Data Science

автор: NAKKA P R

Jan 14, 2020

great course you can understsand the concepts very easily

автор: Dan R

Jul 31, 2019

I found it challenging as I'm not that familiar with SQL.

автор: Nikhil B

Sep 25, 2018

Great Content and Labs, learned a lot more than expected!

автор: Aneel K

Jan 27, 2020

This is a good platform to learn SQL.Thanks to COURSERA.

автор: Maksym C

Oct 06, 2019

Good examples, detailed tutorials and real-life datasets

автор: Ariful H K

Aug 27, 2019

Best course for the beginners learning Database and SQL.

автор: Oliver I

Mar 24, 2019

Great introduction to SQL and relational database theory

автор: Steve M

Jul 12, 2019

Best overview of SQL that I have come across so far....

автор: Siwei L

Feb 12, 2020

good basics, optional course meanful for understanding

автор: Luis M

Dec 28, 2019

A great introduction to SQL and using Python with SQL.

автор: Akash V

Sep 10, 2019

Thanks for teaching me this course. It was so helpful.

автор: Christopher M

Sep 02, 2019

Excellent course - the supporting materials are superb

автор: Jakub P

Jun 21, 2019

Great course with some nice step by step explanations.

автор: Rajeshree S

Mar 01, 2019

Very good for someone who is just starting out on SQL.

автор: Arisara C

Sep 07, 2018

Use database on could . this course have many benefit.

автор: Jared M

Feb 12, 2020

Very valuable course. Learned lots of SQL techniques.

автор: Jose M S

Apr 30, 2019

Very well structured course about an important topic.

автор: Tran C T

Sep 01, 2018

Excellent course! Thanks so much! Highly recommended!

автор: Abilash

Jan 31, 2020

Best for Python beginners with some knowledge of sql

автор: Yesi D

Jan 26, 2020

I loved this module, is so simple and useful. Thanks

автор: Bishwaraj B

Jan 21, 2020

Probably the best intro course in databases and SQL.

автор: Amala H

Jan 12, 2020

I enjoyed this course. I always wanted to learn SQL.

автор: Ramkumar Y

Nov 16, 2019

Very well made course ! very engaging and detailed.

автор: Pilar L

Jul 30, 2019

Very well explained, easy to follow and very useful.

автор: Tan C F J

Nov 24, 2018

Not an easy course, but essential for data analytics