Data Modeling, Transformation, and Serving
This course is part of DeepLearning.AI Data Engineering Professional Certificate.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full DeepLearning.AI Data Engineering Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Model and transform data based on stakeholder requirements
Implement various data modeling techniques for batch analytics
Process data using distributed and non-distributed frameworks
Build end-to-end data pipelines for analytics and ML
Apply feature engineering for machine learning workflows
Skills you'll gain
This course includes:
4.8 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course focuses on data modeling, transformation, and serving for both analytics and machine learning applications. Students learn various data modeling techniques including normalization, star schema, data vault, and one big table approaches. The curriculum covers distributed processing frameworks like Hadoop MapReduce and Spark, along with stream processing concepts. Through hands-on projects and practical demonstrations, participants gain experience with tools like dbt for data transformation and learn to build end-to-end data pipelines that deliver business value.
Data Modeling & Transformations for Analytics
Module 1 · 7 Hours to complete
Data Modeling & Transformations for Machine Learning
Module 2 · 5 Hours to complete
Data Transformations & Technical Considerations
Module 3 · 5 Hours to complete
Serving Data
Module 4 · 8 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: DeepLearning.AI Data Engineering Professional Certificate
Instructor
Leading Voice in Data Engineering and Best-Selling Author
Joe Reis is a prominent figure in data engineering, recognized as a best-selling author and a "recovering data scientist." He serves as a Data Engineer and Architect at DeepLearning.AI, where he also teaches courses on data engineering principles. Reis is the co-author of the acclaimed book "Fundamentals of Data Engineering" and is known for his engaging presentations as a global keynote speaker. His diverse roles include being a professor, podcaster, and writer, where he shares insights on effective data practices and the evolving landscape of data careers. Through his work, Reis aims to empower others in the field by providing practical knowledge and strategies for success in data engineering.
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4.3 course rating
10 ratings
Frequently asked questions
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