This course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL.
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Extract, Transform, and Load Data
This course is part of CertNexus Certified Data Science Practitioner Professional Certificate
Instructors: Stacey McBrine
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There are 4 modules in this course
The first truly hands-on technical phase of the data science process is actually a combination of related tasks known as extract, transform, and load (ETL). This is where you, the data science practitioner, start to mold and shape the data so that it can be as useful as possible for the later steps in the data science process. In this course, you'll go through each ETL task in order, starting with "E" (extract).
What's included
12 videos7 readings1 assignment1 discussion prompt3 ungraded labs
The next step in the ETL process is transformation. You'll spend this next module adjusting your data so that it's in a more useful state.
What's included
9 videos7 readings1 assignment1 discussion prompt4 ungraded labs
The last step in the ETL process is loading. In this module, you'll take the data you transformed and put it into a destination format and location, where it will be ready for you to work on as the project progresses.
What's included
6 videos7 readings1 assignment1 discussion prompt3 ungraded labs
You'll work on a project in which you'll apply your knowledge of the material in this course to a practical scenario.
What's included
1 peer review1 ungraded lab
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Recommended if you're interested in Data Analysis
DeepLearning.AI
University of Illinois Urbana-Champaign
University of Colorado Boulder
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