This course covers a wide range of SQL techniques, beyond basic CRUD (Create, Read, Update, and Delete) operations in PostgreSQL. You will learn the specifics of aggregation, transactions, reading and parsing CSV files and inserting data into a database. You’ll also take a look at how PostgreSQL handles and indexes text data.
Este curso forma parte de Programa especializado: PostgreSQL for Everybody
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Programa especializado: PostgreSQL for EverybodyUniversidad de MíchiganAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 4 en
Nivel intermedio
Completion of first two courses in the Python for Everybody specialization or an equivalent basic understanding of Python
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
Utilize SQL commands for editing tables in a PostgreSQL database and produce properly normalized tables from CSV files.
Appropriately handle text and dates in databases and create stored procedures.
Identify hashtag algorithm and their attributes.
Construct regular expressions to select rows that match a pattern.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 4 en
Nivel intermedio
Completion of first two courses in the Python for Everybody specialization or an equivalent basic understanding of Python
Aprox. 16 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Míchigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Programa - Qué aprenderás en este curso
6 horas para completar
SQL Techniques
In this first week, you'll be introduced to the course and look at SQL commands for editing columns and tables in a PostgreSQL Database. You'll learn to create stored procedures and also utilize the SELECT DISTINCT command.
6 horas para completar
14 videos (Total 122 minutos), 5 lecturas, 6 cuestionarios
3 horas para completar
Using SQL Techniques
This week, we'll focus on producing properly normalized tables from CSV files and utilizing the ALTER TABLE command to adjust the schema of tables.
3 horas para completar
5 videos (Total 25 minutos)
4 horas para completar
Text in PostgreSQL
This week will focus on text in PostgreSQL, including utilizing character sets, identifying hashtag algorithms and attributes, as well as index choices and techniques.
4 horas para completar
10 videos (Total 113 minutos), 1 lectura, 3 cuestionarios
2 horas para completar
Regular Expressions
In our final week, we will focus on regular expressions: their functions, and how to construct them to select rows from a table that match a pattern.
2 horas para completar
6 videos (Total 41 minutos), 1 lectura, 2 cuestionarios
Reseñas
Principales reseñas sobre INTERMEDIATE POSTGRESQL
por JB20 de jun. de 2021
Excellent course with lots of non basic SQL and Postgres material. I especially liked the chapter on Regex in Postgres. Regex in SQL ... so so cool!
por DF7 de sep. de 2021
Amazing course. Lots of practices. Dr. Chuck makes it looks like it is easy. Very relevant techniques and concepts.
por OT4 de ago. de 2021
As usual, amazing course from Dr. Chuck! It is 10th course from him which I've completed
por SD23 de jul. de 2021
Another Amazing course By Dr Chuck. A must do course for anyone who wants to learn SQL.
Acerca de Programa especializado: PostgreSQL for Everybody
Across these four courses, you’ll learn how to use the PostgreSQL database and explore topics ranging from database design to database architecture and deployment. You’ll also compare and contrast SQL and NoSQL approaches to database design. The skills in this course will be useful to learners doing data mining or application development.
Preguntas Frecuentes
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