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

Оценки: 10,464
Рецензии: 2,736

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

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.

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:

2626–2650 из 2,777 отзывов о курсе SQL for Data Science

автор: Chan J J

14 июля 2019 г.

should have provided more explanation and help for exercises and assignment questions. The lecture is also not in depth enough.

автор: Chen K

3 нояб. 2020 г.

Course schedule was good , but content is a little short. To make improvement, should present some example during the video

автор: Thais S B

15 мар. 2018 г.

This is a good course for basic knowledge of SQL but the quizzes and assignments are very confusing and badly elaborated.

автор: Mohsin K

26 июля 2020 г.

This is a good course on SQL for Data Science. As you will particularly start from scratch and go uptil tedious methods

автор: Dhwanil V

14 авг. 2020 г.

The overall format was quite good but it would be more helpful if more examples are included in the lecture videos.

автор: TSUBASA T

17 мая 2020 г.

This course is helpful for beginners, but I felt that some explanation weren't clear and quizzes were challenging

автор: subraj s

1 июня 2021 г.

Assignments could be more basic.

The level of difficulty should gradually increased.

Superb instructor though.

автор: Saswata B

3 июля 2020 г.

More explanation of concepts is required. Also it would have been better if SQL code was explained in depth.

автор: Smit P

22 мая 2020 г.

Instructor should have explain each code by performing practically on pc instead of showing only image.

автор: Dotun a

31 авг. 2021 г.

i think it will be better to learn using mySQL. and more info about dataset will be helpful to note

автор: Nick J

14 мар. 2019 г.

not really relevant to 'data science' its more of a general basic introduction to CRUD and joins

автор: Ayush K J

25 июня 2020 г.

examples for important concepts were lacking like the use of GROUP BY and CASE statements

автор: Chris M

19 июля 2018 г.

Course teaching was excellent, but the final assignment questions were terrible.

автор: Daphne C

18 авг. 2021 г.

The course is very simple. Lack of coding examples in the teaching materials.

автор: oli c

22 дек. 2017 г.

Clear instruction, but quite easy. Would prefer if it was more challenging.

автор: Islam M S M

3 мая 2018 г.

The Assignment was mis worded and didn't reflect the content of the course

автор: Tessa S

30 дек. 2020 г.

Nice course to get an introduction to SQL. Not so much practice material.

автор: Abdullah F

2 мая 2018 г.

Just teaches SQL. Nothing is taught about how its used for data science

автор: Simone D

7 окт. 2019 г.

The course material seemed prepared in a rush, with several mistakes.

автор: Greg L

24 нояб. 2017 г.

Quizzes poorly and ambiguously worded, database carelessly extracted

автор: David A

7 окт. 2019 г.

It could be harder with some excersice that make the student search

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