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.
ofrecido por
IBMAcerca de este Curso
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Resultados profesionales del estudiante
33%
comenzó una nueva carrera después de completar estos cursos
29%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 18 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
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, access multiple tables
Access databases from Jupyter using Python and work with real world datasets
Habilidades que obtendrás
Cloud DatabasesPython ProgrammingIpythonRelational Database Management System (RDBMS)SQL
Resultados profesionales del estudiante
33%
comenzó una nueva carrera después de completar estos cursos
29%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 18 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido 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 - Qué aprenderás en este curso
2 horas para completar
Getting Started with SQL
In this module, you will learn some basic SQL statements and practice them hands-on on a live database.
2 horas para completar
6 videos (Total 19 minutos), 1 lectura, 5 cuestionarios
2 horas para completar
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 completar
5 videos (Total 22 minutos), 1 lectura, 2 cuestionarios
3 horas para completar
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 completar
7 videos (Total 32 minutos), 2 lecturas, 4 cuestionarios
3 horas para completar
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.
3 horas para completar
5 videos (Total 27 minutos), 1 lectura, 6 cuestionarios
Reseñas
Principales reseñas sobre DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
por BS20 de may. de 2020
Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!
por DE27 de dic. 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 AT26 de feb. de 2020
A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!
por PK19 de ago. de 2020
A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!
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