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Inicio 4 June 2026 05:01
Fin 4 June 2026
Applied Python Data Engineering
University of Naples Federico II
26 Cursos
La Universidad de Nápoles Federico II es una prestigiosa universidad pública con una larga historia de excelencia en investigación, enseñanza e innovación. Ofrece una amplia gama de programas académicos, desde el nivel de pregrado hasta el de doctorado.
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Resumen
Learn how to use data engineering to leverage big data for business strategy, data analysis, or machine learning and AI. By completing this course series, you'll empower yourself with the knowledge and proficiency required to build efficient data pipelines, manage cutting-edge platforms like Hadoop, Spark, Snowflake, Databricks, and Kubernetes, and tell stories with data through visualization.
You will delve into foundational big data concepts, distributed computing with Spark, Snowflake’s architecture, Databricks’ machine learning capabilities, Python techniques for data visualization, and critical methodologies like DataOps.
This course series is designed for software engineers, developers, researchers, and data scientists who want to strengthen their specialization in data science or machine learning, as well as for professionals who are interested in pursuing a career as a data-focused software engineer, data scientist, or a data engineer working in cloud, machine learning, business intelligence, or other fields.
University:
University of Naples Federico II
Provider:
Coursera Specialization
Categories:
Python Courses, Machine Learning Courses, Big Data Courses, Data Analysis Courses, Databricks Courses, Hadoop Courses, Snowflake Courses, Kubernetes Courses
Impartido por
Kennedy Behrman, Matt Harrison and Noah Gift
