Bootcamp Data Engineer Specialization
About This Course
3 months program
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.
Certificate
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
Projects
Pre-requisites
How to Succeed3:32
Access the Career Portal
How Do I Find Time for My Nanodegree?
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.