Data Engineer Nanodegree

$399.00

In this course you will learn to build production-ready data infrastructure, an essential skill for advancing your data career. read more…

Level

Duration

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Feature

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Description

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

Discussions

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