Data Engineering

Advanced

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. Students should have intermediate SQL and Python programming skills.

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Estimated Duration

7 Weeks of training

5 Weeks of Technical training
2 Weeks for Professional training

Qualifying for

This course is qualifying you to work as

Create user-friendly relational and NoSQL data models
Create scalable and efficient data warehouses
Work efficiently with massive datasets
Build and interact with a cloud-based data lake
Automate and monitor data pipelines
Develop proficiency in Spark, Airflow, and AWS tools

Enrolled By

January 2025

After passing this course’ assessment, you will get direct access to Udacity classroom

Prerequisites

You should meet the following criteria:

Intermediate
Python & SQL
Proficient in spoken and written English
You fulfill the technical prerequisites and pass the technical assessment of the Nanodegree you selected.

You are seeking to get a job in the same field of the Nanodegree you are applying for.
You haven't joined the Expert track before either for this specialization or a different one.
You are a university graduate.

Program FAQs

If you have more questions, check the
program FAQs to find more answers.

Provided by

What You will learn?

Data Modeling

Introduction to Data Modeling.
Relational Data Models.
NoSQL Data Models

Cloud Data Warehouses

Introduction to the Data Warehouses.
Introduction to the Cloud with AWS.
Implementing Data Warehouses on AWS.

Spark and Data Lakes

The Power of Spark.
Data Wrangling with Spark.
Debugging and Optimization.
Introduction to Data Lakes.

Automate Data Pipelines

Data Pipelines.
Data Quality.
Production Data Pipelines.

Capstone Project

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

Non Technical

Agile Management Training

Non Technical

Career Readiness Services

Why Agile?

Identify the importance of the Agile in the tech fields

Agile vs Traditional Management

Compare Agile versus the more traditional Waterfall approach to product development

Extra Training of

Agile Management

Agile Planning

Compare, Evaluate and Contrast Scrum, Kanban, and XP

Build and Evolve Agile Teams

Identify an Agile team’s core roles, optimal size, structure, and cross-functional skills

Enjoy our

Career Readiness Privileges

Resume Review

Get a detailed resume review from an industry professional.

LinkedIn Review

Get a customized review of your LinkedIn profile from an industry professional.

GitHub Review

A technical professional will help you organize your profile to showcase your projects and skills.

Watch our graduates’ stories!

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Why do you study with Udacity?

Job-ready talent. Superior outcomes

We partner with leading technology companies to learn how technology is transforming industries, and teach the critical tech skills that companies are looking for in their workforce. With our powerful and flexible digital education platform, even the busiest learners can prepare themselves to take on the most in-demand tech roles.