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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

4.7
звезд
Оценки: 12,860
•
Рецензии: 1,495

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!

PK
19 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!

Фильтр по:

601–625 из 1,477 отзывов о курсе Databases and SQL for Data Science with Python

автор: Abinash B

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28 июля 2018 г.

best course for sql for a begginer to learn from

автор: Lutz W

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10 февр. 2021 г.

Very, very useful! Good examples and fun tasks.

автор: Utkarsh C

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20 июня 2020 г.

A good introductory course on database and sql.

автор: Omar K

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2 апр. 2020 г.

This was an amazing course, Thank You So Much !

автор: Jitendra S B

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7 февр. 2020 г.

It's really a fantastic and interesting course.

автор: Sagun P S

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1 июля 2019 г.

Excellent course for someone who is new to SQL.

автор: Daniel A d S

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7 авг. 2020 г.

It's a great course for Data Science students!

автор: MARIA C M

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8 мая 2020 г.

I was able to grasp the explanations with ease

автор: Sumit R

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3 апр. 2020 г.

Great Course with Awesome knowledge materails.

автор: Gene M A

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15 мар. 2020 г.

It was an epic effort but I felt so motivated!

автор: Derrick K

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7 мар. 2020 г.

Thanks for many materials about SQL.

Thank you.

автор: Karina R

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11 февр. 2020 г.

It is a good course with good practical tasks.

автор: Sumith V

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21 сент. 2019 г.

Great Course with real practical assignments !

автор: Khairulniza B I

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25 июля 2019 г.

learn lot of new things...thanks..love 3000x..

автор: Md S F

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7 мая 2019 г.

it is one of the best course for data science.

автор: Ratnesh k m

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8 июня 2020 г.

It help me to make path toward data scientist

автор: atul k s

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28 окт. 2019 г.

study material is to good .best understanding

автор: Govardhana

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4 июля 2019 г.

Very brief course which has a quality content

автор: Lee W A

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20 дек. 2018 г.

Nice introduction to IBM Cloud, SQL using DB2

автор: Shashikesh M

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9 дек. 2018 г.

Great course to start with Databases and SQL.

автор: Ella B

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16 дек. 2020 г.

Challenging, but I definitely learned a lot!

автор: Sujith K S

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20 окт. 2020 г.

Good introduction course to sql using python

автор: Fadhel H D

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27 мая 2020 г.

Good course because it's easy for newbie too

автор: William T

•
19 апр. 2020 г.

Easy to follow and I can pick up SQL quickly

автор: Alfonso P

•
18 авг. 2019 г.

Applied and clear guidance, excellent course

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