Dan Sullivan Courses
Google Cloud Associate Cloud Engineer: Get Certified 2024
4.5 (12,149 Reviews)
Provider: Udemy
Time: 8.4h
$124.99
VisitGoogle Cloud Professional Data Engineer: Get Certified 2022
4.5 (4,690 Reviews)
Provider: Udemy
Time: 6.3h- 2025
$74.99
VisitGoogle Cloud Associate Cloud Engineer Practice Tests
4.3 (4,199 Reviews)
Provider: Udemy- 2023
$54.99
VisitIntroduction to Google Cloud BigQuery
4.5 (3,018 Reviews)
Provider: Udemy
Time: 2.8h- 2022
$74.99
VisitIntroduction to Data Engineering using Generative AI
4.5 (2,675 Reviews)
Provider: Udemy
Time: 6.1h- 2024
$10.99
VisitGoogle Cloud Machine Learning Engineer Certification Prep
4.4 (2,157 Reviews)
Provider: Udemy
Time: 5.2h- 2024
$69.99
VisitGoogle Cloud Professional Database Engineer Exam Prep
4.6 (427 Reviews)
Provider: Udemy
Time: 4.5h- 2023
$74.99
VisitSpark for Machine Learning & AI
No reviews yet
Provider: LinkedIn Learning
Time: 1h 51m- 2017
Free
VisitDeploying Scalable Machine Learning for Data Science
No reviews yet
Provider: LinkedIn Learning
Time: 1h 43m- 2018
Free
VisitAdvanced SQL for Data Science: Time Series
No reviews yet
Provider: LinkedIn Learning
Time: 1h 18m- 2019
Free
VisitAdvanced SQL for Query Tuning and Performance Optimization
No reviews yet
Provider: LinkedIn Learning
Time: 1h 44m- 2019
Free
VisitIntroduction to Spark SQL and DataFrames
No reviews yet
Provider: LinkedIn Learning
Time: 1h 53m- 2019
Free
VisitAdvanced SQL for Data Scientists
No reviews yet
Provider: LinkedIn Learning
Time: 1h 24m- 2017
Free
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Most Recent Review
Conteúdo bom porem poderia ter a opção de legenda em português, faz muita falta
- Review by Giovanna Gonzaga on Introduction to Data Engineering using Generative AI
Instructor Bio
Dan Sullivan is a data architect and data engineer with experience in range of industries. He is the author of Simulation Modeling for Data Science (O'Reilly 2027) as well as other books on cloud architecture, data engineering, cloud engineering, databases, and text mining. Dan is the author of over two dozen courses on generative AI, data engineering, machine learning, data science, data analysis, cloud engineering, and cloud architecture.













