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Description of  Coursera Applied Python Data Engineering Specialization

Released 3/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 160 Lessons ( 15h 25m ) | Size: 2.11 GB 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) 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. Applied Learning Project 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.