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

4.6
звезд
Оценки: 9,559
Рецензии: 2,491

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.

AT
17 нояб. 2020 г.

Well it was a short course, the assignments are a little bit repetitive (mostly in the last). The course reviews every 'practical' aspects of SQL, how to assemble the bricks while writing queries,...

Фильтр по:

2026–2050 из 2,478 отзывов о курсе SQL for Data Science

автор: Felipe S

29 авг. 2020 г.

Excellent, but needs more material to practice coding. It's hard to practice if you're new to this

автор: Arash S

12 апр. 2020 г.

Course need more example and practice and also try to make it more fun. It is a little bit boring!

автор: Rose F

12 нояб. 2019 г.

Concepts are clearly explained. But video tutorials might not be good enough for practicing coding

автор: Punit S

27 сент. 2018 г.

Does the job of teaching SQL skills, that can be always topped up with other courses and exercise.

автор: pragadeeswaran s

1 сент. 2020 г.

A nice course.. I liked very much, go with it if you are having interest in data science and SQL

автор: Kaashyap C

22 июля 2020 г.

Few more things on Data Science would've been good. Overall the course experience was very good.

автор: UDBHAV T

26 апр. 2020 г.

Course was indeed very good but certain topics will require more explanation with more examples.

автор: Paul V

7 мая 2018 г.

Great class. Felt a little lost at first, but feel like I got a great basic understanding of SQL

автор: aishwarya a

18 февр. 2021 г.

It is very good course to upgrade your resume and the concepts are explained so well. Thank you

автор: Basel A

8 сент. 2019 г.

A quick and thorough introduction to SQLite. Straightforward content and useful coding quizzes.

автор: Sergio A

4 июля 2020 г.

i liked it, it had simple explanations that helped to understand the proposed topics thank you

автор: Brad C

9 янв. 2018 г.

Course content and lectures were great but the peer-reviewed final was poorly written and conc

автор: Andrew P

1 дек. 2020 г.

Difficult to concentrate at times when the lecturer struggles to speak. Overall good content.

автор: Antonio V P

1 апр. 2020 г.

It a good course. Maybe its a good idea to provide more spaces to write queries in each part.

автор: Peter J

17 янв. 2021 г.

Very good. There are typos/unclear verbage in the final assignment that need to be addressed

автор: Xavier H

4 мая 2019 г.

Great for beginners up to intermediate and even professionals that missed some of the basics

автор: Guo Z

9 февр. 2020 г.

hope can mark the assignment by tutors if there is no classmate to mark before the deadline

автор: Reinhold L

3 февр. 2019 г.

I had expected to see more examples in the field of data science. All in all a good course.

автор: Simone A

29 дек. 2020 г.

Good course, but the final assignment is not well balanced to the difficulty of the course

автор: Yingyin X

10 сент. 2018 г.

Good for beginner! The content is comprehensive and detailed. I would recommend to others,

автор: Jorge L R Z

2 мар. 2018 г.

The course shows some things very shallow, some more exercises o readings would help a lot

автор: Tuomo P

11 мая 2019 г.

The final assignment could have been a bit more clear in terms of wording the questions.

автор: Roshni G

16 февр. 2019 г.

Excellent course. But could have specified more on DML or adding data into table as well

автор: Tom B

9 окт. 2020 г.

Good course. I would have liked to install a program on my desktop and actually use it.

автор: Bobur K

18 сент. 2020 г.

This course was one of the great courses so far, very clearly explained understandable.