[UDACITY] DATA ENGINEERING NANODEGREE V1.0.0

NANODEGREE PROGRAM–nd027







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.







BUILT IN COLLABORATION WITH











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.







HIDE DETAILS







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







Learn with the best



Amanda Moran















Amanda Moran







DEVELOPER ADVOCATE AT DATASTAX







Amanda is a developer Advocate for DataStax after spending the last 6 years as a Software Engineer on 4 different distributed databases. Her passion is bridging the gap between customers and engineering. She has degrees from University of Washington and Santa Clara University.







Ben Goldberg







Ben Goldberg







STAFF ENGINEER AT SPOTHERO







In his career as an engineer, Ben Goldberg has worked in fields ranging from Computer Vision to Natural Language Processing. At SpotHero, he founded and built out their Data Engineering team, using Airflow as one of the key technologies.















Sameh El-Ansary







Sameh El-Ansary







CEO AT NOVELARI & ASSISTANT PROFESSOR AT NILE UNIVERSITY







Sameh is the CEO of Novelari, lecturer at Nile University, and the American University in Cairo (AUC) where he lectured on security, distributed systems, software engineering, blockchain and BigData Engineering.







Olli Iivonen







Olli Iivonen







DATA ENGINEER AT WOLT















Olli works as a Data Engineer at Wolt. He has several years of experience on building and managing data pipelines on various data warehousing environments and has been a fan and active user of Apache Airflow since its first incarnations.







David Drummond







David Drummond







VP OF ENGINEERING AT INSIGHT







David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.















Judit Lantos







Judit Lantos







DATA ENGINEER AT SPLIT







Judit was formerly an instructor at Insight Data Science helping software engineers and academic coders transition to DE roles. Currently, she is a Data Engineer at Split where she works on the statistical engine of their full-stack experimentation platform.







Juno Lee







Juno Lee







CURRICULUM LEAD AT UDACITY















Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.







GET STARTED WITH







Data Engineer Nanodegree Program







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LEARN







You’ll have access to the Nanodegree program classroom and materials, plus expert project reviews.



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AVERAGE TIME







On average, successful students take 5 months to complete this Nanodegree program.



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BENEFITS INCLUDE







Real-world projects from industry experts



1-on-1 technical mentor



Personal career coach & career services



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