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Learn Data Warehousing with paid and free online courses and MOOCs from University of Colorado System, Universidad Nacional Autónoma de México, Chiang Mai University, Indiana University and other top universities and instructors around the world. Read reviews to decide if a class is right for you.
Common reasons to study Data Warehousing online with the best classes from Coursera, edX, Udacity and Udemy include:
| Course Name | Start Date | Rating | |
|---|---|---|---|
| AD | Machine Learning Certificate via eCornell | Flexible |
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Data Warehouse Concepts, Design, and Data Integration
Coursera
23 hours worth of material
, 5 weeks long
23 hours worth of material
, 5 weeks long
/
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Relational Database Support for Data Warehouses
Coursera
21 hours worth of material
, 5 weeks long
21 hours worth of material
, 5 weeks long
/
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Business Intelligence Concepts, Tools, and Applications
Coursera
21 hours worth of material
, 5 weeks long
21 hours worth of material
, 5 weeks long
/
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Business intelligence and data warehousing
Coursera
10 hours worth of material
, 6 weeks long
10 hours worth of material
, 6 weeks long
/
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Get an email when new courses are available
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Introduction to Designing Data Lakes on AWS
Coursera
14 hours worth of material
, 4 weeks long
14 hours worth of material
, 4 weeks long
/
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Fundamentals of Data Warehousing
Coursera
14 hours worth of material
, 3 weeks long
14 hours worth of material
, 3 weeks long
/
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Design and Build a Data Warehouse for Business Intelligence Implementation
Coursera
13 hours worth of material
, 6 weeks long
13 hours worth of material
, 6 weeks long
/
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Modernizing Data Lakes and Data Warehouses with GCP
Coursera
8 hours worth of material
, 2 weeks long
8 hours worth of material
, 2 weeks long
/
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คลังข้อมูล (Data Warehouse)
ThaiMOOC
/
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Enterprise Data Management
edX
8-10 hours a week
, 12 weeks long
8-10 hours a week
, 12 weeks long
/
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| AD |
Launch your career in Data Science - Online, Part-time programs via Udacity |
Flexible |
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Introduction to Designing Data Lakes on AWS
edX
1-4 hours a week
, 5 weeks long
1-4 hours a week
, 5 weeks long
/
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Modernizing Data Lakes and Data Warehouses with GCP en Español
Coursera
8 hours worth of material
, 2 weeks long
8 hours worth of material
, 2 weeks long
/
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Building Batch Data Pipelines on GCP en Español
Coursera
13 hours worth of material
, 2 weeks long
13 hours worth of material
, 2 weeks long
/
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|
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Modernizing Data Lakes and Data Warehouses with GCP 日本語版
Coursera
8 hours worth of material
, 2 weeks long
8 hours worth of material
, 2 weeks long
/
|
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Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro
Coursera
8 hours worth of material
, 2 weeks long
8 hours worth of material
, 2 weeks long
/
|
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|
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Building Batch Data Pipelines on GCP em Português Brasileiro
Coursera
13 hours worth of material
, 2 weeks long
13 hours worth of material
, 2 weeks long
/
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|
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Building Batch Data Pipelines on GCP en Français
Coursera
13 hours worth of material
, 2 weeks long
13 hours worth of material
, 2 weeks long
/
|
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|
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Modernizing Data Lakes and Data Warehouses with GCP en Français
Coursera
8 hours worth of material
, 2 weeks long
8 hours worth of material
, 2 weeks long
/
|
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|
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openSAP
4-6 hours a week
, 4 weeks long
4-6 hours a week
, 4 weeks long
/
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openSAP
6-8 hours a week
, 4 weeks long
6-8 hours a week
, 4 weeks long
/
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|
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Data Warehousing on AWS (Digital)
Independent
5-6 hours worth of material
5-6 hours worth of material
/
|
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| AD |
Best Free Online Courses of the Year (2021 Edition) via Class Central |
Flexible |
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Data Warehousing for Business Intelligence
Coursera
Specialization
4 hours a week
, 30 weeks long
4 hours a week
, 30 weeks long
/
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Udemy
4-5 hours worth of material
4-5 hours worth of material
|
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Pluralsight
3-4 hours worth of material
3-4 hours worth of material
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Udacity
Nanodegree
5-10 hours a week
, 21 weeks long
5-10 hours a week
, 21 weeks long
/
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Building Batch Data Pipelines on GCP auf Deutsch
Coursera
13 hours worth of material
, 2 weeks long
13 hours worth of material
, 2 weeks long
/
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Modernizing Data Lakes and Data Warehouses with GCP auf Deutsch
Coursera
8 hours worth of material
, 2 weeks long
8 hours worth of material
, 2 weeks long
/
|
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Never Stop Learning!
Get personalized course recommendations, track subjects and courses with reminders, and more.
