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

4.6
звезд
Оценки: 10,128
Рецензии: 2,636

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.

AL
21 авг. 2020 г.

A comprehensive course that covers major aspects of query building and retrieval in a management system. The topics were delivered well and the materials/assignments were relevant for skill-building.

Фильтр по:

2526–2550 из 2,655 отзывов о курсе SQL for Data Science

автор: Daniel E

4 янв. 2020 г.

Good content but the questions are badly worded and need updating.

автор: Melissa V

28 апр. 2018 г.

Need to take a more in-depth class to fully understand this class.

автор: Matt E

1 апр. 2018 г.

You can learn this stuff on your own. You don't need a course.

автор: Priyanshu V

31 июля 2020 г.

Some topic is not cover like constraints alter modify default

автор: Tim S

8 июля 2020 г.

Quite easy. The peer-reviewed assignment is also very easy.

автор: liqi x

24 дек. 2019 г.

not enough teaching examples, could be tough for beginner

автор: Ashish D

29 июня 2021 г.

Explanations could be improved with the help of examples

автор: TANMAY R C

25 июня 2020 г.

Very fast and high level for a person who knows nothing

автор: Saulo G d M S

27 июля 2020 г.

A really good course, but the forum isn't that great.

автор: SAKET M

24 февр. 2021 г.

Could be more better. You could have taught more SQL

автор: Phillipe S S R

3 янв. 2018 г.

Quiz and graded materials not available for free.

автор: Hari G

11 дек. 2019 г.

Too much theory and very little or no practice

автор: Yến Đ H

5 июля 2021 г.

The course is basically theoretical.

автор: dager6

4 мая 2018 г.

Good general basic introductions.

автор: Gaoge Z

4 янв. 2021 г.

Could show results in demos.

автор: Fabian M

16 мар. 2021 г.

Too little practice

автор: Renuka G

20 дек. 2019 г.

good one

автор: 318126512050 S R B

21 июня 2021 г.

good

автор: Carl D A

13 авг. 2020 г.

good

автор: Krishna G

10 июня 2020 г.

good

автор: Chen G

15 февр. 2019 г.

Soso

автор: Gergely H

30 июля 2021 г.

Y

автор: renas c

12 мар. 2021 г.

.

автор: Manas d

19 сент. 2020 г.

.

автор: max

20 мар. 2021 г.

lessons are not well structured, it would be so much more easy to explain sql

interactively by explainging a concept of sql, then creating a query highlighting what is particularly important of that query and then seeing the result of that querry. Instead it is done in old fashioned power point. First a set of concepts, then some additional information and then application,

E-learning allows for a much more interwoven structure, that might be more initial work for the creator of the course but it clearly would add a lot of value to the students.

Sometimes the course misses to explaing relevant detail.

For example in the last weeks lecture about Date, we learned that we could do operations like

Date('now') - DateColum, and this would return the time difference but only in years, not days, not hours. It would be intersting to know why that is.

The last assignment