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

4.6

звезд

Оценки: 15,334

•

Рецензии: 1,956

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

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!

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:

851–875 из 1,980 отзывов о курсе Databases and SQL for Data Science with Python

автор: Abhishek J

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8 авг. 2019 г.

Very good for someone who's new to it.

автор: Olabode A

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8 мая 2022 г.

Wonderful and well structured course.

автор: Khushboo B

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1 мая 2022 г.

ccertificate problem n review problem

автор: Chibueze N

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13 дек. 2021 г.

Very detailed and educational course!

автор: Aditya M

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12 нояб. 2020 г.

Excellent course, great intro to SQL!

автор: Henrique M

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20 сент. 2020 г.

Conciso e muito prático!!! Excelente!

автор: syed i

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3 июля 2020 г.

Wonderful course. Teaches the basics.

автор: Akash T

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12 июня 2020 г.

very helpful and knowledgeable course

автор: Gabriel C

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4 мар. 2020 г.

Well explained and pleasant to study.

автор: Jonathan M

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2 мар. 2020 г.

Very informative introduction to SQL.

автор: Oscar C

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20 янв. 2020 г.

Amazing introduction to SQL language.

автор: Shravani D

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10 авг. 2019 г.

This has been really useful course !!

автор: Jean M T

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22 июня 2019 г.

Very interesting and useful courses !

автор: Carlos P

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10 июня 2019 г.

Excellent course. Highly recommended.

автор: Ronaldo L

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16 февр. 2022 г.

Very clear explanation of the terms.

автор: AINUN N

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22 дек. 2021 г.

LEARNING METHODS EASY TO UNDERSTAND!

автор: Adrian R

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27 сент. 2021 г.

The practical assignments are great.

автор: Kaushalesh G

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21 сент. 2021 г.

Thanks for creating a useful course.

автор: ARPINO E

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2 мая 2021 г.

Very interesting and operative based

автор: Francisco J N A

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18 апр. 2020 г.

Great intro/revision to DB and MySQL

автор: Dinu R

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14 мар. 2020 г.

u r amazing in ur lectures and tests

автор: Kristopher K

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15 янв. 2020 г.

Really enjoyed the section on Joins.

автор: pawar p

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10 июля 2019 г.

Very detailed course. Nice contents.

автор: P M N

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3 июля 2019 г.

Excellent Course Syllabus and topics

автор: H. O

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27 июня 2019 г.

This course is extremely informative

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

О курсе

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

О курсе

Лучшие рецензии

851–875 из 1,980 отзывов о курсе Databases and SQL for Data Science with Python

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Начните карьеру или продвиньтесь по карьерной лестнице

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