A series of data processing steps that involve extracting, transforming, and loading data for analysis.

Stands for Extract, Transform, Load; the three key processes in data pipeline development.

The process of retrieving data from various sources, such as databases or APIs.

The process of converting extracted data into a usable format through cleaning and organizing.

The final step where transformed data is stored in a target system, like a database or CSV file.

Application Programming Interface; a set of rules allowing different software applications to communicate.

JavaScript Object Notation; a lightweight data interchange format often used in APIs.

A Python library used for data manipulation and analysis, particularly for handling structured data.

The process of detecting and correcting inaccuracies or inconsistencies in data.

The process of converting data from one format or structure into another.

Comma-Separated Values; a file format used to store tabular data in plain text.

The accuracy and consistency of data over its lifecycle, crucial in data pipelines.

A reusable block of code in Python that performs a specific task.

The order in which individual statements, instructions, or function calls are executed in a program.

A data structure in Python that holds an ordered collection of items.

A Python data structure that stores data in key-value pairs, allowing for fast lookups.

The process of summarizing data, such as calculating totals or averages.

Techniques used in programming to manage and respond to errors or exceptions.

The graphical representation of data to help communicate information clearly.

A file containing a series of commands or code written in a programming language like Python.

The process of identifying and fixing errors in code.

The process of making a system or code more efficient in terms of performance.

Written descriptions of code and processes that help others understand how to use or modify it.

A final project that integrates all learned skills, showcasing proficiency in course concepts.

Opportunities for students to assess their understanding and progress throughout the course.