Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.
Informações sobre o curso
Habilidades que você terá
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
- 5 stars74,68%
- 4 stars18,79%
- 3 stars4,04%
- 2 stars1,09%
- 1 star1,38%
Principais avaliações do DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
Great introduction to basic manipulation of SQL tables and working with the IBM DB2 databases by connecting to them with iPython. Very straightforward explanations and very enjoyable tasks.
It's my first course at Coursera and it's quite good. By this course now I'm able to partially working as data analyst soon to be working as full-time analyst.I'm very thankful to the instructor.
Course is god enough. However the last assessment is not. Misprints and not clear questions lead to disappointing marks in the end. Also other students marked assessments based on their understanding.
This " Databases and SQL for Data Science" course was good. I learned too many new things and it really helped me by providing fundamental knowledge regarding databases and SQL.\n\n"
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever para este certificado?
Mais dúvidas? Visite o Central de Ajuda ao estudante.