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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IBM Skills NetworkInformações sobre o curso
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Prazos flexÃveis
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.
NÃvel iniciante
No prior knowledge of databases, SQL, R, or programming is required.
Aprox. 28 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
Create and access a database instance on the cloud
Compose and execute basic SQL statements - SELECT, INSERT, UPDATE, DELETE, CREATE, DROP
Construct SQL statements to filter, sort, group results, use built-in functions, compose nested queries, access multiple tables
Analyze data from Jupyter using R and SQL by combining SQL and R skills to query real-world datasets
Habilidades que você terá
- Data Science
- Select (Sql)
- Relational Databases (RDBMS)
- R Programming
- Tables (Database)
Prazos flexÃveis
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.
NÃvel iniciante
No prior knowledge of databases, SQL, R, or programming is required.
Aprox. 28 horas para completar
Inglês
Legendas: Inglês
oferecido por
IBM Skills Network
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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 vÃdeos (Total 17 mÃn.), 1 leitura, 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
6 vÃdeos (Total 27 mÃn.), 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 vÃdeos (Total 32 mÃn.), 2 leituras, 8 testes
5 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.
5 horas para concluir
10 vÃdeos (Total 27 mÃn.), 2 leituras, 9 testes
Avaliações
- 5 stars54,16%
- 4 stars25%
- 3 stars8,33%
- 2 stars4,16%
- 1 star8,33%
Principais avaliações do SQL FOR DATA SCIENCE WITH R
por HD4 de mar de 2022
This skills in this course are easy to learn, the simplicity of the materials is what I like the most about IBM courses.
por AN11 de abr de 2022
Very useful course for those who wants to learn SQL.
por OM31 de mai de 2022
I really like the course. Only I think that need to improve the final project, inlcude a little more information in each problem.
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