Chevron Left
Вернуться к Databases and SQL for Data Science

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

4.7
звезд
Оценки: 7,941
Рецензии: 758

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.

SG

Dec 25, 2019

One of the best course I completed on Coursera. All the learning material is well organised and easy to understand. Also the non-graded sections regarding relational databases are interesting.

Фильтр по:

651–675 из 748 отзывов о курсе Databases and SQL for Data Science

автор: Jay J

Oct 20, 2019

Very informative.

автор: Amit A

Aug 08, 2019

So far excellent!

автор: NAGESWARARAO K

Jan 05, 2020

Excellent Course

автор: Alok Y

Oct 25, 2019

Good job by IBM

автор: Rohit S P

Apr 14, 2019

Can do better.

автор: Bakyt N

Jan 26, 2019

Bit too easy

автор: Isaac N

Dec 03, 2019

Thank's

автор: Rehan k

Aug 07, 2019

helpful

автор: VIGNESHKUMAR R

Dec 23, 2019

Good

автор: Cristian A M A

Jul 21, 2019

Good

автор: PARAMDEEP S

Apr 23, 2019

NICE

автор: Adil S

Jan 26, 2019

zbs

автор: Gerardo R

Oct 03, 2018

na

автор: Ibrahim R

Oct 17, 2019

.

автор: Vincent Z

Feb 10, 2019

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.

автор: Stephen S

Jan 01, 2019

I wanted to like this course more, but wow was it dry. There were a lot of small nuisances with having so many logins to access course material that made things frustrating at times. Although, the point is to get you accustomed to an IBM centric workflow, that when you start to learn it, its not bad. I did enjoy the final project, and found it to be the redeeming quality of this course.

автор: Aayush M

Jul 11, 2019

Lecture slides are required. Please note that so much being taught in a small video may slip out of mind and to quickly go through so many syntax would have been possible only if lecture slides would have been provided.

It is not possible to look back into videos again if i want to confirm some syntax.

автор: Rhett J

Sep 26, 2019

The information in the class is outstanding, the problem is IBM Jupyter Notebooks' kernels fail within 10 minutes, and must be reloaded constantly. The final exam requires 10 answers via Jupyter notebook trial and error, and it took me nearly 3 days of constant refreshing to get this done.

автор: Kendall G

Oct 31, 2018

This course is not a complete overview of SQL by any means. You will only learn the most basic functions. The value here however is that the course guides you on how to write SQL queries in Python. To round out your SQL skills, you will need to take a more in depth beginner course.

автор: Ozge I

Feb 01, 2019

Some quizzes include questions about materials not yet introduced. The material could be much more interesting with more interesting and interactive examples. Hands-on Labs should include new materials rather than letting the students rewrite given queries in sql.

автор: Hui W F

Dec 24, 2019

Some of the instructions in the course are not as clear as those provided by other Coursera's courses. There are some sections with outdated screenshots and typos. This disrupts the learning process and requires extra time to guess and sort out the materials.

автор: Nathan P

Oct 10, 2019

Decent course. The SQL code is somewhat different and you need to practice it a lot. I do not think you get enough practice to really know SQL just from this course. There is only a few labs and even in there you only actually type a little bit of SQL

автор: Rebecca M

Nov 08, 2019

a few issues on the assignment which lead to a couple of extensions in the deadline, adding a month extra to pay for, Not all the screen shots were the same in the demos as the interfaces have changed slightly. apart from that a good course

автор: Kristen P

Oct 14, 2019

In the intro to data science specialization, this course is a relatively steep step up from the previous one 'Data science methodology.' Perhaps obtaining some basic understanding of Python prior to taking this course would help

автор: Shan C

Nov 03, 2019

Overall the course provides the concept of SQL and a great picture. Just with technical issue in the Peer-Graded Assignment, causing spending loads of time to find out the solution, which those time could have been saved.