- Tensorflow
- Bigquery
- Information Engineering
- Google Cloud
- Cloud Computing
July 13, 2021
Approximately 1 months at 10 hours a week to completeChao Yu's account is verified. Coursera certifies their successful completion of Google Cloud Preparing for Google Cloud Certification: Cloud Data Engineer Specialization.
Course Certificates Completed
Building Batch Data Pipelines on Google Cloud
Google Cloud Big Data and Machine Learning Fundamentals
Preparing for your Professional Data Engineer Journey
Modernizing Data Lakes and Data Warehouses with Google Cloud
Smart Analytics, Machine Learning, and AI on Google Cloud
Building Resilient Streaming Analytics Systems on Google Cloud
Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
Employ BigQuery to carry out interactive data analysis.
Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
Choose between different data processing products on Google Cloud.
Earned after completing each course in the Specialization
Google Cloud
Taught by: Google Cloud Training
Completed by: Chao Yu by March 26, 2021
Google Cloud
Taught by: Google Cloud Training
Completed by: Chao Yu by March 20, 2021
2 weeks of study, 6-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: Chao Yu by July 13, 2021
1 week of study, 6-8 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: Chao Yu by March 21, 2021
Google Cloud
Taught by: Google Cloud Training
Completed by: Chao Yu by June 15, 2021
Google Cloud
Taught by: Google Cloud Training
Completed by: Chao Yu by June 12, 2021