Coursera – Applied Python Data Engineering Specialization

Coursera – Applied Python Data Engineering Specialization
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Elevate your coding skills with data engineering. Use big data for decision-making, analysis, AI and machine learning

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

Skills you’ll Gain:
• Data Science
• Big Data
• Python Programming
• Information Engineering
• Kubernetes
• Data Visualization
• Apache Hadoop
• Docker Container
• Apache Spark
• Snowflake (Data Warehouse)

Specialization – 3 Course Series:
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.

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