Bases de datos y SQL para ciencia de datos from Coursera

Gran parte de los datos del mundo residen en bases de datos. SQL (o lenguaje de consulta estructurado) es un lenguaje poderoso que se utiliza para comunicarse y extraer datos de bases de datos. Un conocimiento práctico de bases de datos y SQL es imprescindible si desea convertirse en un científico de datos. El propósito de este curso es presentar los conceptos de bases de datos relacionales y ayudarlo a aprender y aplicar los conocimientos básicos del lenguaje SQL. También está destinado a ayudarle a empezar a realizar el acceso SQL en un entorno de ciencia de datos. El énfasis en este curso está en el aprendizaje práctico y práctico. Como tal, trabajará con bases de datos reales, herramientas de ciencia de datos reales y conjuntos de datos del mundo real. Creará una instancia de base de datos en la nube. A través de una serie de prácticas de laboratorio, practicará la creación y ejecución de consultas SQL. También aprenderá cómo acceder a las bases de datos desde los cuadernos de Jupyter usando SQL y Python. No se requieren conocimientos previos de bases de datos, SQL, Python o programación. Cualquiera puede auditar este curso sin cargo. Si elige tomar este curso y obtener el certificado del curso de Coursera, también puede obtener una insignia digital de IBM al completar con éxito el curso. OFERTA POR TIEMPO LIMITADO: La suscripción cuesta solo $39 USD por mes para acceder a materiales calificados y un certificado.

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Appears to teach the basics of relational databases from scratch, building a good foundation for beginners

Involves hands-on practice and examples, applying knowledge to real-world scenarios

Provides pathways into data science, aligning with industry trends and demands

Requires no prerequisites, making it accessible to a wide range of learners

Uses real datasets and industry tools, reflecting real-world workflow

Provides an optional certificate and digital badge, adding value to learners' portfolios

Reviews summary

Databases and sql for data science

This course provides a comprehensive introduction to databases and SQL, focusing on practical application and hands-on learning. It is geared towards those with little to no prior knowledge in these areas. Overall, the course is well-received, although some outdated content and technical issues have been noted.

Offers a certification for completion.

"Is a course that is incredible because it explains very well besides that it gives you a certificate of verification of knowledge."

Helpful for beginners in SQL.

"Lo recomiendo mucho a personas que están comenzando a aprender SQL porque es un curso muy ameno."

Hands-on learning emphasized.

"The emphasis in this course is on the learning practical and practical."

"You will work with real databases, real data science tools, and real-world datasets."

Outdated content in some areas.

"This course needs an update regarding IBM Cloud."

"Hay enlaces que no funcionan, lo que me impidió seguir bien con el curso."

Some technical issues with cloud platform.

"The platform of test delivered in IBM Cloud, does not always have the availability of access to the elements used in the course, which hinders the process."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Bases de datos y SQL para ciencia de datos with these activities:

Read 'The Pragmatic Programmer' by Hunt and Thomas

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This book is a guided tour of the best practices for learning SQL and is highly relevant to becoming a data scientist

View The Pragmatic Programmer: Your Journey To... on Amazon

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Purchase the book (paper/digital)
Allocate 45 min every evening for reading

Practice SQL queries on W3Schools SQL practice platform

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The W3Schools SQL platform offers many exercises to practice basic and advanced SQL queries

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Go to the W3Schools SQL practice platform
Select an exercise and complete it

Follow the tutorials on the SQLZoo website

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SQLZoo is a fun and interactive way to learn SQL queries.

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Choose a tutorial and follow along
Visit the SQLZoo website

Five other activities

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Build a basic data dictionary for a real-world dataset

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Building a data dictionary is a foundational skill in database design and is a critical component for data scientists

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Choose a dataset and list all the columns
Define the data type of each column
Identify missing and incomplete data for each column

Attend a workshop on data science skills

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Taking a data science workshop can help you strengthen your skills.

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Find a workshop that fits your skill level and interests
Attend the workshop and participate in the activities

Write a blog post explaining the difference between SQL and NoSQL

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Writing this blog post will help solidify your understanding of the advantages and disadvantages of each.

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Decide which aspects to compare
Write a draft
Edit and publish the post

Volunteer at a data science organization

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Volunteering is a great way to gain real-world experience in data science.

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Find a data science organization that you're interested in volunteering for
Contact the organization and express your interest in volunteering

Attend a meetup or conference for data scientists

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Networking with other data scientists can be a rewarding experience

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Find a meetup or conference in your area
Attend the event and speak to as many people as possible

Career center

Learners who complete Bases de datos y SQL para ciencia de datos will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist combines programming skills and knowledge of mathematics and statistics to extract meaningful insights from data. This course, in particular, can help build a foundation in SQL, a powerful language used to communicate with and extract data from databases, a skill that is essential for a Data Scientist.

See salaries and explore the career path for Data Scientist

Database Administrator

A Database Administrator is responsible for the installation, configuration, maintenance, and performance monitoring of database management systems. This course can help a Database Administrator learn the basics of SQL, a language used to create and manage databases.

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Data Analyst

A Data Analyst collects, processes, and analyzes data to identify trends and patterns. This course may be useful for a Data Analyst, as it can help them learn the basics of SQL, a skill that is commonly used to extract data from databases and analyze it.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

A Business Intelligence Analyst uses data to help businesses make informed decisions. This course may be useful for a Business Intelligence Analyst, as it can help them learn the basics of SQL, a skill that is commonly used to extract data from databases and analyze it.

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Data Engineer

A Data Engineer designs, builds, and maintains data pipelines and data infrastructure. This course can help a Data Engineer learn the basics of SQL, a language that is often used to manage data pipelines.

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Statistician

A Statistician collects, analyzes, interprets, and presents data. This course may be useful for a Statistician who is interested in working with databases and data science, as it can help them learn the basics of SQL.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course may be useful for a Software Engineer who is interested in working with databases and data science, as it can help them learn the basics of SQL.

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Data Science Manager

A Data Science Manager leads and manages a team of data scientists. This course may be useful for a Data Science Manager who is interested in learning more about the technical aspects of data science, including SQL.

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Machine Learning Engineer

A Machine Learning Engineer designs, builds, and deploys machine learning models. This course may be useful for a Machine Learning Engineer who is interested in working with databases and data science, as it can help them learn the basics of SQL.

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Database Architect

A Database Architect designs and manages the architecture of databases. This course can help a Database Architect learn the basics of SQL, a language that is often used to manage databases.

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Business Analyst

A Business Analyst analyzes business processes and systems to identify areas for improvement. This course may be useful for a Business Analyst who is interested in learning more about the technical aspects of data analysis, including SQL.

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Information Security Analyst

An Information Security Analyst protects an organization's computer systems and data from unauthorized access or damage. This course may be useful for an Information Security Analyst who is interested in learning more about the technical aspects of data security, including SQL.

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Product Manager

A Product Manager manages the development and launch of new products. This course may be useful for a Product Manager who is interested in learning more about the technical aspects of product development, including SQL.

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Data Warehouse Analyst

A Data Warehouse Analyst designs, builds, and maintains data warehouses. This course may be useful for a Data Warehouse Analyst, as it can help them learn the basics of SQL, a skill that is commonly used to manage data warehouses.

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Technical Writer

A Technical Writer creates technical documentation, such as user manuals, training materials, and white papers. This course may be useful for a Technical Writer who is interested in learning more about the technical aspects of data science, including SQL.

See salaries and explore the career path for Technical Writer