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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IBMInformações sobre o curso
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Prazos flexíveis
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
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Nível iniciante
Aprox. 16 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
Create and access a database instance on cloud
Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE
Filter, sort, group results, use built-in functions, compose nested queries, access multiple tables
Access databases from Jupyter using R and SQL to query real-world datasets
Habilidades que você terá
- Data Science
- Select (Sql)
- Relational Databases (RDBMS)
- R Programming
- Tables (Database)
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. 16 horas para completar
Inglês
Legendas: Inglês
oferecido por
IBM
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
2 horas para concluir
Getting Started with SQL
Structured Query Language, or SQL, provides a standard language for selecting and manipulating data in a relational database. Understanding SQL is a foundational skill that you must have when applying data science principles in R because SQL is the key to helping you unlock insights about the information stored deep inside relational databases. In this module, you will learn some basic SQL statements and practice them hands-on on a live database.
2 horas para concluir
5 vídeos (Total 17 mín.), 1 leitura, 5 testes
2 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.
2 horas para concluir
6 vídeos (Total 27 mín.), 1 leitura, 2 testes
3 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.
3 horas para concluir
7 vídeos (Total 32 mín.), 2 leituras, 4 testes
3 horas para concluir
Getting Started with Databases using R
In this module, you will learn the benefits of using R to connect to relational databases and how to persist R database objects in files. You’ll also learn some of the similarities between R data frames and relational databases, including how data types compare and when you must convert from one type to another to improve the effectiveness of your data analysis. Finally, you’ll learn different methods for connecting to a database from R.
3 horas para concluir
10 vídeos (Total 27 mín.), 2 leituras, 7 testes
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