Applied Python Data Engineering

Overview

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

Taught by

Kennedy Behrman, Matt Harrison and Noah Gift

Subjects