Applied Python Data Engineering

University of Naples Federico II via Coursera  Specialization

Coursera  Specialization

19 Courses


La University of Naples Federico II è un prestigioso ateneo pubblico con una lunga storia di eccellenza nella ricerca, nell'insegnamento e nell'innovazione. Offre una vasta gamma di programmi accademici dal livello di laurea a quello di dottorato.

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Overview

Applied Python Data Engineering

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

Syllabus


Taught by

Kennedy Behrman, Matt Harrison and Noah Gift


Tags

united states

provider Coursera  Specialization

Coursera  Specialization

106 Courses


Coursera  Specialization

pricing Paid Course
language English
level Intermediate