Coursera – Applied Python Data Engineering Specialization 2024-2

Coursera – Applied Python Data Engineering Specialization 2024-2 Downloadly IRSpace

Apr 17, 2025 - 18:00 Updated: Aug 17, 2025 - 13:43

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Coursera – Applied Python Data Engineering Specialization 2024-2

Applied Python Data Engineering Specialization, 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. The Specialization features a capstone project focused on using Databricks’ API to replicate an existing project. This provides hands-on experience working with Databricks to build a portfolio-ready data solution. You will apply Python to a variety of data engineering tasks.

What you’ll learn

Create scalable big data pipelines (Hadoop, Spark, Snowflake, Databricks) for efficient data handling.
Build machine learning workflows (PySpark, MLFlow) on Databricks for seamless model development and deployment.
Implement DataOps/DevOps to streamline data engineering processes.
Formulate and communicate data-driven insights and narratives through impactful visualizations with Python and data storytelling

Specificatoin of Applied Python Data Engineering Specialization

Publisher : Coursera
Teacher : Kennedy Behrman
Language : English
Level : Intermediate
Number of Course : 3
Duration : 5 months at 10 hours a week

Content of Applied Python Data Engineering Specialization

Applied Python Data Engineering Specialization

Requirements

Experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling; also a strong foundation in linear algebra and statistics.