Highlights
Tuition fee
499 USD / full
499 USD / full
499 USD / full
Unknown
Tuition fee
499 USD / full
499 USD / full
499 USD / full
Unknown
Duration
2 days
Duration
2 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. This Data Engineering with AWS Nanodegree program at Udacity is ideal for those with a basic understanding of Python, SQL, and command-line interfaces. 

Visit programme website for more information

Overview

The  Data Engineering with AWS Nanodegree program at Udacity is a comprehensive data engineering course designed to teach you how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. Skills covered include Database fundamentals, CassandraDB, PostgreSQL, and database normalization. 

You'll learn from industry experts like Sean Murdock, Matt Swaffer, Ben Goldberg, Amanda Moran, and Valerie Scarlata, gaining hands-on experience with real-world projects. At Udacity, we offer an empowering learning environment where you gain practical skills through our data engineering training, reinforced with top-tier support and expert feedback. 

This course will equip you with the knowledge and tools to excel in the field of data engineering.

Nanodegree Skills

Data Modeling

  • Cassandradb
  • PostgreSQL
  • Database normalization
  • Denormalized data schemas
  • Data modeling basics
  • Database fundamentals
  • Star schemas

Cloud Data Warehouses

  • Data extraction
  • Infrastructure as code
  • Olap cubes
  • Table design
  • Cloud computing fluency
  • ETL
  • Database fundamentals
  • Data warehouse architecture
  • AWS storage services

Spark and Data Lakes

  • AWS data lakes
  • ELT
  • Big data fluency
  • Data wrangling
  • Amazon s3
  • Amazon Athena
  • Data Lakehouse Architecture

Programme Structure

Courses include:

  • Data Modeling
  • Cloud Data Warehouses
  • Spark and Data Lakes
  • Automate Data Pipelines

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prior to enrolling, you should have the following knowledge:

  • Relational data models
  • Command line interface basics
  • Intermediate Python
  • Relational database basics
  • Basic github
  • Intermediate SQL
  • Basic Python
  • Amazon web services basics
  • Basic SQL

You will also need to be able to communicate fluently and professionally in written and spoken English.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    499 USD / full
    499 USD / full
  • Out-of-State
    499 USD / full
    499 USD / full
  • Domestic

    In-State
    499 USD / full
    499 USD / full

Additional Details

249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects

Funding

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