Introduction to Data Pipelines

Empowering Analytics with Data Pipelines Data pipelines are at the foundation of all analytics projects. You’ve probably heard the age-old adage, that 90% of data science is cleaning and transforming data. This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines. Data pipelines are at the foundation of every strong data platform. Building these pipelines is an essential skill for data engineers, who provide incredible value to a business ready to step into a data-driven future. This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines. Building and Maintaining ETL Solutions Throughout this course, you’ll dive into the complete process of building a data pipeline. You’ll grow skills leveraging Python libraries such as `pandas` and `json` to extract data from structured and unstructured sources before it’s transformed and persisted for downstream use. Along the way, you’ll grow confidence tools and techniques such as architecture diagrams, unit-tests, and monitoring that will help to set your data pipelines out from the rest. As you progress, you’ll put your new-found skills to the test with hands-on exercises. Supercharge Data Workflows After completing this course, you’ll be ready to design, develop and use data pipelines to supercharge your data workflow in your job, new career, or personal project.