Nanodegree Data Engineering

Nanodegree Data
Engineer

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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Level

ESTIMATED TIME

4 months complete

8 – 10 hours / week

English

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.
Prerequisites

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
Capstone:

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

Whether you want to start a new career or change your current career, Coursera’s professional certificates help you prepare for the position. Learn at your own pace, at a time and place that is most comfortable for you. Enroll today and discover a new career with a 7-day free trial. You can pause your classes or end the subscription at any time.

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 Offers It includes
Real world projects Yes
Project reviews Yes
STUDENT SERVICES
Mentor Tech Support Yes
Student community Yes
CAREER SERVICES
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
MENTORSHIP SERVICES
  • 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.
Matrícula

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
$5000
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

Jobs

Results-oriented learning
devnow.org is a partner of Bootcamp AI, a platform with updated job offers.
New

Asynchronous program access

Pay as you go
$
55
Monthly
  • Maximum flexibility to learn at your own pace.
  • Slack Community
  • Access to all sessions
  • Access to all quizzes
  • Access to all projects
  • Access to Laboratories
  • Cancel at any time.
New

+ 50% of your salary for the first month when you get a job

  • If you cannot find a job, we will exempt you from paying 50% of your first salary.
  • You must complete the 4 months of the program
Best rated

4 MONTH ACCESS

Pay in advance and save an additional 15%
$
170
Total
  • 4 months is the average time to complete this program.
  • Save an additional 30% compared to pay-as-you-go.
  • Slack Community
  • Access to all sessions
  • Access to all quizzes
  • Access to all projects
  • Access to Laboratories
  • Cancel at any time.
  • Change to the monthly price later if you need more time.
New

+ 50% of your salary for the first month when you get a job

  • If you cannot find a job, we will exempt you from paying 50% of your first salary.
qwq.png
Tulio Velásquez
Gerente Arq Tecnología
The mentor has clarity on the material and how the step-by-step for each implementation is explained. The mentor has the knowledge and makes an easy understanding of the course.
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Melani Stefania Ruales
Fellow
I think it has qualified teachers and the topics in the courses are super good. She is a good teacher, who she knows about the topics to be covered. It is also dynamic when teaching the class
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Diana Jaramillo
Fellow
The mentor is experienced. I like that there are labs and that I can review the recorded classes.
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Bryan Xavier Landázuri
Felow
Each class module was interesting and each laboratory that was carried out had its respective guide. It was well explained, I presented many applications of the various topics that were seen during the course

María  Cruz

Mentora

Lead Data Scientist en BAT. Doctora en Control Automático con especialidad en procesamiento de Imágenes. Estancias de investigación en la Universidad de California en EEUU, en la Universidad de Coimbra en Portugal y trabajos de investigación con la Universidad de Yale

Jenny Vega

Mentora

Machine Learning Engineer Rappi Software Engineer con más de 5 años de experiencia en el desarrollo de aplicaciones de big data y machine learning altamente escalables. Con sólidos conocimientos y práctica en lenguajes de programación como Python y Javascript. Arquitecta Asociada de AWS. Autodidacta de nuevas tecnologías y frameworks dentro de machine learning e inteligencia artificial.

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FAQ

Bootcamp AI is an organization that helps reduce the technological gap in the world, we have professional Nanodegrees curated by experts focused on job placement.

If you are subscribed, you get a 7-day free trial, which you can cancel whenever you want without any type of penalty. After that time, we do not issue refunds. However, you can cancel your subscription whenever you want. See our full refund policy .

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Professional program focused on the career you want to pursue.

Exclusive section to improve your professional profile, code test and improve your personal brand.

We work with devnow.org, a platform for jobs and freelance jobs with the best technology companies.

Accompaniment in your selection processes

As you progress through the program according to your performance, you are assigned paid projects from real companies, you can accept or reject.

You can have an ROI (Return on Investment) in the program of 200% return.

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