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Вернуться к SQL for Data Science

Отзывы учащихся о курсе SQL for Data Science от партнера Калифорнийский университет в Девисе

4.6
звезд
Оценки: 10,726
•
Рецензии: 2,803

О курсе

As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems. This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables. You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. Although we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!...

Лучшие рецензии

JP
5 апр. 2020 г.

This course has really helped with optimizing queries that I work with everyday, enhancing my understanding of RDBMS, joins, analyzing and structuring exactly what you need and yielding those results.

JG
22 авг. 2021 г.

I thought this course was great! Great introduction to Relational Databases and SQLite. Highly reccomend for anyone new to SQL, Databases, or someone looking to get started with a data science career.

Фильтр по:

1651–1675 из 2,851 отзывов о курсе SQL for Data Science

автор: SHASHANK S

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18 мая 2020 г.

Very informative.

автор: Abhishek K

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7 мая 2020 г.

quiet interesting

автор: Arju A

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6 мая 2020 г.

Awesomely taught!

автор: Francesco M

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14 апр. 2020 г.

Very good Course.

автор: Murilo R

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3 мар. 2020 г.

Fantastic course.

автор: Lucas O

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11 февр. 2020 г.

Excellent course!

автор: Tianyi H

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3 янв. 2020 г.

Quick and useful.

автор: seth p

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2 нояб. 2019 г.

Excellent course!

автор: Matthew Y

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25 сент. 2019 г.

Very nice course!

автор: Yuan

•
25 июля 2019 г.

easy to follow up

автор: Haocheng w

•
11 апр. 2019 г.

Very informative!

автор: Dharmendra c

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23 сент. 2018 г.

VERY GOOD COURSE.

автор: Arturo V

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21 сент. 2021 г.

very good course

автор: Darling F S Q

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17 сент. 2021 г.

EXCELLENT COURSE

автор: Puja M

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11 сент. 2021 г.

Very Informative

автор: ARUN K M

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11 сент. 2021 г.

ya its fantastic

автор: Mohamed A H

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26 авг. 2021 г.

Very informative

автор: Gauch N

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18 авг. 2021 г.

excellent course

автор: Hamed G

•
2 авг. 2021 г.

Excellent Course

автор: GIancarlo C

•
27 июля 2021 г.

very good course

автор: Shikhar G

•
7 мая 2021 г.

Amazing Coursera

автор: Deepak K S

•
22 апр. 2021 г.

Amazing content.

автор: Tana W

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4 мар. 2021 г.

Excellent course

автор: Shubham G

•
10 февр. 2021 г.

excellent course

автор: José R N Q

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14 дек. 2020 г.

I learned a lot.

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