[Udacity] Data Engineering Nanodegree V1.0.0

Become a Data Engineer

Data Engineering is the foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career.

  • ESTIMATED TIME, 5 Months

    At 5 hrs/week

  • ENROLL BY, August 14, 2019

    Get access to classroom immediately on enrollment

  • PREREQUISITES
    Intermediate Python & SQL

    Intermediate Python programming knowledge, of the sort gained through the Programming for Data Science Nanodegree program, other introductory programming courses or programs, or additional real-world software development experience. Including:

    • Strings, numbers, and variables; statements, operators, and expressions;
    • Lists, tuples, and dictionaries; Conditions, loops;
    • Procedures, objects, modules, and libraries;
    • Troubleshooting and debugging; Research & documentation;
    • Problem solving; Algorithms and data structures

    This content is also available in the Introduction to Python Programming course.

    Intermediate SQL knowledge and linear algebra mastery, addressed in the Programming for Data Science Nanodegree program, including:

    • Joins, Aggregations, and Subqueries
    • Table definition and manipulation (Create, Update, Insert, Alter)

    This content is also available in the SQL for Data Analysis course.

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What You Will Learn

DOWNLOAD SYLLABUS

SYLLABUS

Data Engineering

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.

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5 months to complete

PREREQUISITE KNOWLEDGE

To be successful in this program, you should have intermediate Python and SQL skills.See detailed requirements.

  • Data Modeling

    Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.

    DATA MODELING WITH POSTGRESDATA MODELING WITH APACHE CASSANDRA

  • Cloud Data Warehouses

    Sharpen your data warehousing skills and deepen your understanding of data infrastructure. Create cloud-based data warehouses on Amazon Web Services (AWS).

    BUILD A CLOUD DATA WAREHOUSE

  • Spark and Data Lakes

    Understand the big data ecosystem and how to use Spark to work with massive datasets. Store big data in a data lake and query it with Spark.

    BUILD A DATA LAKE

  • Data Pipelines with Airflow

    Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.

    DATA PIPELINES WITH AIRFLOW

Capstone Project

Combine what you’ve learned throughout the program to build your own data engineering portfolio project.

DATA ENGINEERING CAPSTONE

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