Coursera – Applied Python Data Engineering Specialization 2024-2 – Download

Description

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 will empower yourself with the knowledge and competencies needed 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 dive deep into basic big data concepts, distributed computing with Spark, the architecture of Snowflake, the machine learning capabilities of Databricks, Python techniques for data visualization, and critical methodologies like DataOps.

it The course series is designed for software engineers, developers, researchers, and data scientists who want to strengthen their expertise in data science or machine learning, as well as for professionals who are interested in pursuing a career as a data-centric software engineer, data scientist, or data engineer working in the cloud, machine learning, business intelligence, or other field. Specialization Features.Features A capstone project focuses on using the Databricks API to replicate an existing project. It provides practical experience working with Databricks to build portfolio-ready data solutions. You will apply Python to various data engineering tasks.

What you will learn

Build scalable big data pipelines (Hadoop, Spark, Snowflake, Databricks) for efficient data management.
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

Specification of the Applied Python Data Engineering Specialization

Publisher: Coursera
Teacher: Kennedy Behrman
language English
Level: Intermediate
Number of courses: 3
Duration: 5 months 10 hours per week

Content of the Applied Python Data Engineering Specialization

Applied Python Data Engineering Specialization

Requirements

Experience 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.