About This Course

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.
Bootcamp AI has collaborated with industry professionals to offer a world-class learning experience so you can advance your data engineering career. You will get hands-on experience running data pipelines, building relational and noSQL data models, creating databases on the cloud, and more. Bootcamp AI provides high-quality support as you master in-demand skills that will qualify you for high-value jobs in the data engineering field and help you land a job you love.

3 months program

Certificate

To share in LinkedIn

 

You can share your Certificates in the Certifications section of your LinkedIn profile, on your printed resume, or in other documents.

Learning Objectives

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

  • The Data Engineer Nanodegree program is designed for students with intermediate Python and SQL skills.
  • 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)

Target Audience

  • This Nanodegree program offers an ideal path for experienced programmers to advance their data engineering career. If you enjoy solving important
  • technical challenges and want to learn to work with massive datasets, this is a great way to get hands-on practice with a variety of data engineering principles and techniques.
  • The prerequisites for this program include proficiency in Python and SQL. You should be comfortable writing functions and loops, using classes, working with libraries in Python. You should be comfortable querying data using joins, aggregations, and subqueries in SQL.

Curriculum

433 Lessons

Welcome to the Data Engineering Nanodegree Program

Program Introduction2:15
Projects
Pre-requisites
How to Succeed3:32
Connecting with Your Community
Access the Career Portal
How Do I Find Time for My Nanodegree?00:00:00

Introduction to Data Engineering

Introduction to 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

Relational Data Models

Project Data Modeling with Postgres

NoSQL Data Models

Project Data Modeling with Apache Cassandra

Introduction to 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).

Introduction to Cloud Computing and AWS

Implementing Data Warehouses on AWS

Project: Data Warehouse

The Power of SPark

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.

Data Wrangling with Spark

Debugging and Optimization

Introduction to Data Lakes

Project: Data Lake

Data Pipeline

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.

Data Quality

Production Data Pipelines

Project Data Pipelines

Take 30 Min to Improve your LinkedIn

Capstone Project

Job Search

You’re in this Nanodegree program to take the next big step in your career - maybe you’re looking for a new job, or you’re learning new skills for your current job … or maybe you’re not sure what to do, but you know you need to make a career change.

Refine Your Entry-Level Resume

Craft Your Cover Letter

Optimize Your GitHub Profile

Develop Your Personal Brand

data eng

$50.00

Level
Intermediate
Lectures
433 lectures
Language
English Español

Enrolment validity: Lifetime

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