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Avis et commentaires pour d'étudiants pour The Nature of Data and Relational Database Design par Université de Californie à Irvine

53 évaluations

À propos du cours

This course provides a comprehensive overview of data, various data types, design of databases for storage of data, and creation and manipulation of data in databases using SQL. By the end of this course, students will be able to describe what business intelligence is and how it’s different from business analytics and data science, conduct a basic descriptive statistical analysis and articulate the findings, and differentiate between types of statistics. They will also be able to define normalization and ETL, create an ERD that shows progression from conceptual to logical to physical design, define DDL, DML, DCL, and TCL, and write SQL scripts to create a database and associated tables....

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1 - 10 sur 10 Avis pour The Nature of Data and Relational Database Design

par Deannver B

12 févr. 2022

The topics are very interesting and I really want to use the things that I have learned from here.

par Wai K W C

16 janv. 2022

A​ very brief and easy course to provide the common language of data engineering for future exploration.

par Tessa T

23 janv. 2022

Nice course. Thanks.

par Patrick S

25 mai 2022

Great course

par Henrique S

22 juin 2022

Good starting grounds. Some answers are not clear, such as some "all options are correct" in questions asking where exceptions are. Voice guide would be a good improvement as well. Content could be more in detail and well connected, even for beginner level.

par Hany S

31 juil. 2022

The content is simple, concise and easy to understand but lacked any practical exercises or application especially in week 4 where you learn SQL. Why not imbed an in-browser SQL platform to practice all of those functions?


27 janv. 2022

ok I can guess

par Michel M

2 août 2022

No exercises

par AS

10 juin 2022

Plus: easy learning, hopefully a good glossary of terms.

Minus: monocord voice on videos, uninspiring quizzes (rote learning) and assignments (ambitious: could have been made into quizzes), the "more reading" links seem to be the first google search results on the topics, very few concepts spread over 4 weeks, and mostly definitions and lists.