4.9
(11 ratings)
10 Days
·Cohort-based Course
Learn fundamental data engineering skills, get hands-on experience with AWS, and build a fully functional data pipeline for your resume.
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This course is popular
9 people enrolled last week.
Course overview
Data powers everything from advanced analytics to data science, machine learning, large language models, and generative AI.
But data is useless until it can be harnessed.
Data engineering is about building systems to do exactly that. Data Engineers wrangle, manipulate, and transform data so it can be used for training AI, generating predictive analytics, and making critical business decisions. Without data engineering, none of this is even possible.
In this course, you'll take your first steps with data engineering. You'll build a serverless data pipeline and apply the core principles of all good data engineering work: efficiency, automation, and scalability.
You'll gain hands-on experience with:
- Serverless data ingestion
- Automated workflow orchestration for ETL (extract, transform, load)
- Advanced SQL strategies for transforming and wrangling data
- Visualizing data for analytics and business intelligence
- Creating and automating data quality checks
Throughout the course, you'll leverage the power of cloud technologies using Amazon Web Services (AWS), the most popular cloud environment.
To be ready to take this course, you should have some SQL and Python knowledge.
For a full breakdown of who the course is for and what you'll learn, check out the course schedule and syllabus below.
01
Data Analysts + Business Intelligence Analysts
You're looking to expand your skillset by learning Data Engineering and AWS skills.
02
Junior Data Engineers + Data Engineers
You've got some experience already, but you're new to AWS and looking to learn more.
03
This course is not for:
Experienced/Senior Data Engineers, AWS experts, or people with no previous coding experience.
Build a project of your own to perform data engineering in a hands-on way.
Gain proficiency in data engineering concepts like data ingestion, workflow orchestration, data transformation, and data quality testing.
Gain experience with many of the major AWS services used for serverless data engineering like Kinesis, Lambda, S3, Glue, and Athena.
Step-by-step examples of powerful SQL patterns for essential data engineering transform work.
Learn effective ways to showcase your project to prospective employers and talk about it in future job interviews.
New technologies can be challenging. As part of this live cohort course, you'll get personalized assistance when you need it.
6 interactive live sessions
Lifetime access to course materials
37 in-depth lessons
Direct access to instructor
1 project to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Build Your First Serverless Data Engineering Project
Week 1
Aug 19—Aug 25
Events
Tue, Aug 20, 12:00 AM - 2:00 AM UTC
Thu, Aug 22, 12:00 AM - 2:00 AM UTC
Fri, Aug 23, 12:00 AM - 2:00 AM UTC
Sun, Aug 25, 8:00 PM - 10:00 PM UTC
Modules
Free preview
Week 2
Aug 26—Aug 28
Events
Tue, Aug 27, 12:00 AM - 2:00 AM UTC
Thu, Aug 29, 12:00 AM - 2:00 AM UTC
Modules
Post-Course
Modules
Bonus
Modules
4.9
(11 ratings)
David is a Senior Data Engineer at American Family Insurance, a top 10 auto insurance company in the Fortune 500.
David is a career changer who started his professional life as a high school teacher before pivoting to Data Engineering.
Over the last few years, he has also spent hundreds of hours tutoring students in Python, SQL, and Data Engineering skills.
If you'd like to learn these skills too, this course is for you.
August 2024
$500
Dates
Payment Deadline
8:00 PM - 10:00 (EDT)
Week 1: Monday, Wednesday, and Thursday
Week 2: Monday and Wednesday
After each lesson, there will be optional time to complete project work and get personalized assistance (office hours).
Office hours typically go until 10:30pm EDT (30 minutes).
4:00 PM - 6:00 PM (EDT)
Get additional assistance with your project and ask questions during optional Sunday afternoon office hours.
Lessons will be recorded
If you can't make a session, or you want to go back and rewatch a lesson, videos will be posted following each lesson.
Looking for a complete SQL reference guide with real, working example queries? Look no further. Enter your email below, and you'll get a free copy of this complete SQL cheat sheet. It covers everything from basic query syntax to filtering, ordering, unioning, joining, aggregating, and manipulating data. It also includes examples of more advanced SQL concepts like of CTE's, subqueries, CASE WHEN statements, and window functions.
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Your employer may have funds to cover this course
Many companies offer a professional development budget. Others may not have a formal policy but may still cover the cost. It's worth asking.
Make the ask with this pre-filled template
This email is pre-drafted to make it easy for you and your employer to understand how the course benefits your role.
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August 2024
$500
Dates
Payment Deadline