Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases.

Acerca de este Curso
No prior knowledge of databases, SQL, Python, or programming is required. Suitable for anyone who wants to gain key skillsin Data Science/Analytics.
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Prueba Coursera para negociosQué aprenderás
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 obtendrás
- Cloud Databases
- Python Programming
- Jupyter notebooks
- Relational Database Management System (RDBMS)
- SQL
No prior knowledge of databases, SQL, Python, or programming is required. Suitable for anyone who wants to gain key skillsin Data Science/Analytics.
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
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Programa - Qué aprenderás en este curso
Getting Started with SQL
Introduction to Relational Databases and Tables
Intermediate SQL
Accessing Databases using Python
Reseñas
- 5 stars74,94 %
- 4 stars18,48 %
- 3 stars3,98 %
- 2 stars1,15 %
- 1 star1,43 %
Principales reseñas sobre BASES DE DATOS Y SQL PARA LA CIENCIA DE LOS DATOS CON 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.
The course served as a good SQL refresher and I love the that I get to run all the exercise and assignment on IBM cloud. That really saved me a lot of stress. Good foundational course overall.
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.
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.
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