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CERTIFICATE
Data Modeling, Transformation, and Serving
This course is part of DeepLearning.AI Data Engineering Professional Certificate.
Course Cost
Free course
Intermediate
Skill Level
30 Hours
Self-paced lessons
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.
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
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
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
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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