Chevron Left
Вернуться к SQL for Data Science

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

Оценки: 13,048

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:

3251–3275 из 3,459 отзывов о курсе SQL for Data Science

автор: Tural M

27 авг. 2018 г.

The quiz questions does not match the material provided in the course. There are more easier ways to coding rather explained throughout the course!

автор: Andrés F L C

26 дек. 2019 г.

The topics are well explained but the videos are monotonus (slides and the teacher talking). I think the course could be more interactive.

автор: Serena G

8 мар. 2018 г.

Good for learning basics of SQL but not much application and integration of concepts. In general, however, it is good for beginners.

автор: Kalide E

1 июня 2020 г.

Course would be much better if you can work alongside the instructor. Using presentation slides in a coding class is not ideal imo.

автор: Daniel D

27 июля 2022 г.

This course needs more examples or exercises with solutions to give a better understanding and use case scenarios for each topic.

автор: Мамедбаков И Р

25 июня 2020 г.

The lecturer maybe is a good data scientist but does not have the skills of presenting or explaining material in an easy manner.

автор: Luke R

9 авг. 2021 г.

Good course overall, but the gap between what is tought and how complex some of the application can be is frustrating at times.

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: JEFFREY C W

7 июля 2022 г.

Had to find outside tutorials to fully understand the subject. Needs more practice queries between lessons.

автор: Mike E

6 февр. 2022 г.

Good course, but we should re-enforce what we learn by doing coding after each video, not just each week.

автор: Smit P

22 мая 2020 г.

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

автор: Andy L

11 июня 2022 г.

I feel the examples were good but wis had more to practice in the course. Overall, pretty good course

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: Peter M

7 янв. 2022 г.

It would be better to be more practical better than a PPT, but the content itself is awesome.

автор: Ayush K J

25 июня 2020 г.

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

автор: Гришин М С

21 сент. 2021 г.

Too many unnecessary words in lectures, but there is good coding practice at the end

автор: Chris M

19 июля 2018 г.

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