Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Data Engineering for Everyone
Introduction to Data Engineering
Python Data Science Toolbox (Part 2)
What You Will Learn
You’ll be introduced to your role as a data engineer in a private equity fund
You'll be exposed to the whole etl pipeline before deep-diving into its first phase: the extraction process
You'll start setting up the components needed to communicate with the databaseyou'll explore how to create a unique key to perform insert and delete statements on sqlalchemy
At the end of this chapter you'll complete the load process, the last step of the etl pipeline
You'll explore key sql components to build more complex queries and create these insights
You'll also explore libraries that will translate raw sql queries into more readable excel files
Course Instructors
Stefano Francavilla
Stefano is the CEO and co-founder of Geowox.
Course Reviews
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