Course
Introduction to Data Engineering
IntermediateSkill Level
Updated 09/2022Start Course for Free
Included withPremium or Teams
PythonData Engineering4 hr15 videos57 Exercises4,100 XP120,302Statement of Accomplishment
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Training 2 or more people?
Try DataCamp for BusinessLoved by learners at thousands of companies
Course Description
Get Started in Data Engineering
Are you curious about a career in data engineering but don’t know where to start? Or perhaps you want more information on what data engineers do before you take the next steps? This four-hour course is an introduction to data engineering and the core concepts, techniques, and tools you need to understand to do the job.Learn Data Engineering Concepts and Techniques
You’ll start by learning the differences between a data engineer and a data scientist (and how they work together) before finding out more about the tools of the trade, specifically talking about cloud computing and parallel computing. By the end of the second chapter, you’ll understand the applications of SQL and NoSQL, using DataFrames, and why parallel computing is so important.Perform ETL in Hands-on Exercises
The ETL process is core to a data engineer’s workflow. You will learn how data is extracted, transformed, and loaded to get it ready for analysis and generating insights. At the end of the course, you’ll put all this knowledge into practice by performing and scheduling an ETL process yourself using real-world data.Our exercises and interactive tests allow you to review and cement your new knowledge, so you’re confident discussing and applying it once you’ve received your Statement of Accomplishment.
This introductory course is part of a data engineering Track, which offers you pathways to improve your understanding of data engineering and a clear set of next steps to becoming a professional data engineer.
Prerequisites
Intermediate PythonIntermediate SQL1
Introduction to Data Engineering
2
Data engineering toolbox
3
Extract, Transform and Load (ETL)
4
Case Study: DataCamp
Introduction to Data Engineering
Course Complete
Earn Statement of Accomplishment
Add this credential to your LinkedIn profile, resume, or CVShare it on social media and in your performance review
Included withPremium or Teams
Enroll NowFAQs
Join over 17 million learners and start Introduction to Data Engineering today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.