Nanodegree Data Engineering

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.
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5 months complete

8 – 10 hours / week


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What will you learn

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.

Data Modeling
In this course, you’ll learn to create relational and NoSQL data models to fit the diverse needs of data consumers. You’ll understand the differences between different data models, and how to choose the appropriate data model for a given situation. You’ll also build fluency in PostgreSQL and Apache Cassandra. Course Project Data Modeling with Postgres: In this project, you’ll model user activity data for a music streaming app called Sparkify. You’ll create a relational database and ETL pipeline designed to optimize queries for understanding what songs users are listening to. In PostgreSQL you will also define Fact and Dimension tables and insert data into your new tables.
Cloud Data Warehouses

In this course, you’ll learn to create cloud-based data warehouses. You’ll sharpen your data warehousing skills,
deepen your understanding of data infrastructure, and be introduced to data engineering on the cloud using Amazon Web Services (AWS).

Course Project: Build a Cloud Data Warehouse

In this project, you are tasked with building an ELT pipeline that extracts their data from S3, stages them in Redshift, and transforms data into a set of dimensional tables for their analytics team to continue finding insights in what songs their users are listening to.

Spark and Data Lakes

In this course, you will learn more about the big data ecosystem and how to use Spark to work with massive datasets. You’ll also learn about how to store big data in a data lake and query it with Spark.


Course Project
Build a Data Lake: In this project, you’ll build an ETL pipeline for a data lake. The data
resides in S3, in a directory of JSON logs on user activity on the app,
as well as a directory with JSON metadata on the songs in the app.
You will load data from S3, process the data into analytics tables
using Spark, and load them back into S3. You’ll deploy this Spark
process on a cluster using AWS.

Automate Data Pipelines

In this course, you’ll learn to schedule, automate, and monitor data pipelines using Apache Airflow. You’ll
learn to run data quality checks, track data lineage, and work with data pipelines in production.


Course Project
Data Pipelines with Airflow:

In this project, you’ll continue your work on the music streaming company’s data infrastructure by creating and automating a set of data pipelines. You’ll configure and schedule data pipelines with
Airflow and monitor and debug production pipelines.

Capstone Project

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


Course Project
Data Engineering

The purpose of the data engineering capstone project is to give you a chance to combine what you’ve learned throughout the program. This project will be an important part of your portfolio that will help you achieve your data engineering-related career goals. In this project, you’ll define the scope of the project and the data you’ll be working with. We’ll provide guidelines, suggestions, tips, and resources to help you be successful, but your project will be
unique to you. You’ll gather data from several different data sources; transform, combine, and summarize it; and create a clean database for others to analyze.

What is a professional certificate?

Develop the skills necessary to complete the job

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Practical projects

Apply your skills to practical projects and develop a portfolio that demonstrates your job readiness to potential employers. You will need to finish the projects correctly to get your certificate.

Get a professional credential

When you complete all the courses in the program, you earn a certificate that you can share with your professional network, as well as access to professional support resources to help you start your new career. Many professional certificates have partners interested in hiring staff who recognize the professional certificate credential, and others can help you prepare for the certificate exam. You can see more information on the pages of the particular professional certificate where it applies.

Program Offer It includes
Real world projects Yes
Mentor Tech Support Yes
Student community Yes
CV support Yes
Freelance Projects Yes

Succeed with Personalized Services

Brindamos servicios personalizados para sus necesidades en cada paso de su viaje de aprendizaje para garantizar su éxito.
Mentors available to answer your questions
Biweekly (2 hour) live classes and on-demand support from TAs
Double the time of weekly 1:1 mentorship
Biweekly accountability sessions with a personalized study plan
  • Support for all your technical questions
  • Questions answered quickly by our team of technical mentors

More questions about the program?

Schedule a call with our Admissions team or email, our Admissions Manager, who will help you think through the decision.

Real World Project
Develop an End-to-End project that will allow you to interact in a real work environment.

La matrícula completa del programa es de $ 10,140. Si paga por adelantado, obtiene un 16% de descuento. Recuerde, si no consigue un trabajo dentro de los 6 meses posteriores a la finalización, recibirá un reembolso completo. Ver los términos de elegibilidad de la garantía de empleo

Descuento por adelantado | Pague por adelantado y ahorre un 16% en la matrícula | $5000
Pagado al momento de la inscripción
$ 5000
Coste total
Mes a mes | Paga solo los meses que necesites, hasta 6 meses $ 1,690 / mes Total: hasta $ 10,140
Pagado al momento de la inscripción
Depósito reembolsable de
$ 700
Pagos mensuales durante el curso
$ 0
Pagos mensuales después del curso
$ 383 por 36 meses después de comenzar un nuevo trabajo
Coste total
$ 14,500
Plan de matrícula diferida | Pague mensualmente solo después de comenzar un trabajo $ 383 / mes Total: $ 14,500
Pagado al momento de la inscripción
Depósito reembolsable de
$ 700
Pagos mensuales durante el curso
$ 0
Pagos mensuales después del curso
$ 383 por 36 meses después de comenzar un nuevo trabajo
Coste total
$ 14,500

16 Apr-21 May 13:30 - 17:30 UTC11 11 Sessions Weekend (Sat - Sun)
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