Welcome to the specialization course Relational Database Systems. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how several types of information systems and databases are available to solve different problems and needs of the companies.
La Universidad Nacional Autónoma de México fue fundada el 21 de septiembre de 1551 con el nombre de la Real y Pontificia Universidad de México. Es la más grande e importante universidad de México e Iberoamérica. Tiene como propósito primordial estar al servicio del país y de la humanidad, formar profesionistas útiles a la sociedad, organizar y realizar investigaciones, principalmente acerca de las condiciones y problemas nacionales, y extender con la mayor amplitud posible, los beneficios de la cultura.
- 5 stars65.56%
- 4 stars22.16%
- 3 stars6.13%
- 2 stars1.65%
- 1 star4.48%
來自RELATIONAL DATABASE SYSTEMS的熱門評論
this course help me alot it would be very benificial for me if it contain more practicals . when i get my certificate?
It was pretty informative. I'll have to go through it again. But the teaching was amazing and the assignments were wonderful.
Basic and intermediate skills are really taught well
I really needed a more practical approach to database design and programming. This course gave me both.
關於 数据库系统 專項課程
This specialized program is aimed at computer people who want to enter the field of information systems and learn their different types of requirements, architectures, performance, techniques and tools so you can know when to use business intelligence, data mining, data science, databases , databases in memory or big data in order to have reliable, maintainable and scalable data intensive systems. Through 4 courses, you will cover [transactional relational databases, business intelligence and Data warehousing, NoSQL technologies, and reliable, scalable and maintainable data intensive applications that will prepare you for a specialized information system consultant or data scientist.