What you'll learn
Data Modeling
Cloud Data Warehouses
Spark and Data Lakes
Data Pipelines with Airflow
Capstone Project
Description
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.
The data engineering field is expected to continue growing rapidly over the next several years, and there’s huge demand for data engineers across industries. This program is designed to prepare people to become data engineers. This includes job titles such as analytics engineer, big data engineer, data platform engineer, and others. Data engineering skills are also helpful for adjacent roles, such as data analysts, data scientists, machine learning engineers, or software engineers.
Requirements
Access to a computer or mobile device with an internet connection.
Motivation to learn!
In order to successfully complete the program, students should be comfortable with the following programing concepts:
– 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
– Joins
– Aggregations
– Subqueries
– Table definition and manipulation (Create, Update, Insert, Alter)
Who this course is for
Students who are already familiar with this field
Students willing to put in a couple hours to learn about Data Engineer
Advanced students wanting to add another skill to their portfolio
Content Creator
Amanda Moran
This course includes
Content Co-created with Insight
Real-world projects
Project reviews
Proj. feedback from experienced reviewers
1-on-1 technical mentor
Check-ins with mentor
Student community
Personal career coaching
Interview preparations
Github review
LinkedIn profile review
Resume shared with 500+ employers