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,...
By Duke University on Coursera
About This Course
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 field.
Topics Covered
Frequently Asked Questions
How much does Applied Python Data Engineering cost?
Applied Python Data Engineering costs $49. Check the course page for current pricing and available discounts.
Who teaches Applied Python Data Engineering?
Applied Python Data Engineering is taught by Duke University, Duke University.
What skill level is Applied Python Data Engineering for?
This course is designed for advanced learners.
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