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学生对 IBM 提供的 Databases and SQL for Data Science 的评价和反馈

4.7
5,522 个评分
521 个审阅

课程概述

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....

热门审阅

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.

筛选依据:

351 - Databases and SQL for Data Science 的 375 个评论(共 516 个)

创建者 Akash V

Sep 10, 2019

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

创建者 Saman S

Sep 10, 2019

That's wonderful

创建者 Yong S

Sep 11, 2019

A great introduction to SQL and how to use SQL language for database work.

创建者 Muhammad T A

Sep 11, 2019

<3

创建者 Tinashe C M

Sep 16, 2019

Great course

创建者 Pranay M K

Sep 16, 2019

It is really helpful to study databases and sql for data science. It covers every basic to basic topics

创建者 Billel H

Sep 16, 2019

Great course !

创建者 Shashank J

Sep 16, 2019

great course! challenging final assignment.

创建者 Vivekanand P

Sep 13, 2019

I loved the final assignment and the ibm_db api. Inline magical function (%%sql) is simple and powerful.

创建者 Valerio C

Sep 12, 2019

Very well done!!

创建者 Bisakh M

Sep 14, 2019

Well Decorated course.

创建者 Stephen Y

Sep 14, 2019

Good class, good material, The final peer-reviewed project could be better if the system let us to submit our code and automatically grade our code.

创建者 Vaddi J C P B

Sep 17, 2019

Gives good understanding of how to use SQL statements in Python environment. Very useful for the beginners who wish to learn Data Science.

创建者 Love B

Sep 17, 2019

nice course

创建者 Tsungai J M

Sep 17, 2019

Quite challenging for a first time programmer but the Labs really helped to build on the understanding from the lectures. Best course of this program so far.

创建者 Matej K

Sep 19, 2019

Very good course including all the basic for SQL and how to connect to database storage and load data. Also, includes the use of Python and SQL queries. Plenty of hands-on exercises.

创建者 Ashutosh T

Sep 20, 2019

great course, enjoyed learning

创建者 Josemar T M d S

Sep 19, 2019

Conteúdo muito bom. Acho que deveriam considerar a inclusão de material para databases No-SQL.

创建者 Federico D

Sep 19, 2019

Well done

创建者 Javier A B

Sep 21, 2019

Excellent course. It provides all the basics to work with SQL

创建者 Diderico v E

Sep 22, 2019

Great, simple, and clear overview.

创建者 Sumith V

Sep 21, 2019

Great Course with real practical assignments !

创建者 Trapasiya D

Sep 21, 2019

very good course

创建者 Shrihari N

Nov 26, 2018

wonderful experience

创建者 Claude D D

Dec 15, 2018

I am not quite cool with the guide to grade peers. The exact answers were not cited.