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.
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Prazos flexíveis
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 38 horas para completar
Inglês
Legendas: Inglês, Árabe, Persa
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Experimente o Coursera for BusinessO que você vai aprender
Analyze data within a database using SQL and Python.
Create a relational database on Cloud and work with tables.
Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.
Build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.
Habilidades que você terá
- Cloud Databases
- Python Programming
- Ipython
- Relational Database Management System (RDBMS)
- SQL
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 38 horas para completar
Inglês
Legendas: Inglês, Árabe, Persa
Sua empresa se beneficiaria do treinamento dos funcionários em habilidades sob demanda?
Experimente o Coursera for Business
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IBM Skills Network
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.
Programa - O que você aprenderá com este curso
3 horas para concluir
Getting Started with SQL
In this module, you will be introduced to databases. You will create a database instance on the cloud. You will learn some of the basic SQL statements. You will also write and practice basic SQL hands-on on a live database.
3 horas para concluir
6 vídeos (Total 19 mín.), 2 leituras, 5 testes
5 horas para concluir
Introduction to Relational Databases and Tables
In this module, you will explore the fundamental concepts behind databases, tables, and the relationships between them. You will then create an instance of a database, discover SQL statements that allow you to create and manipulate tables, and then practice them on your own live database.
5 horas para concluir
5 vídeos (Total 22 mín.), 1 leitura, 5 testes
7 horas para concluir
Intermediate SQL
In this module, you will learn how to use string patterns and ranges to search data and how to sort and group data in result sets. You will also practice composing nested queries and execute select statements to access data from multiple tables.
7 horas para concluir
7 vídeos (Total 32 mín.), 2 leituras, 8 testes
6 horas para concluir
Accessing Databases using Python
In this module you will learn the basic concepts related to using Python to connect to databases. In a Jupyter Notebook, you will create tables, load data, query data using SQL, and analyze data using Python.
6 horas para concluir
5 vídeos (Total 27 mín.), 1 leitura, 9 testes
Avaliações
- 5 stars74,74%
- 4 stars18,68%
- 3 stars4,03%
- 2 stars1,11%
- 1 star1,42%
Principais avaliações do DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
por YM21 de mar de 2020
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.
por DE27 de dez de 2019
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.
por TN7 de mai de 2020
Overall is a nice course. It was a bit confused because Handson Lab related to each other. It would be nicer to have a short remind from previous labs or better to keep labs independently.
por DA7 de out de 2020
Best course with best difficulty and best skills as per the title .
i love this course becuase it has esssential skills needed in terms of developing the right skills for data science .
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