Coursera – Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 20225-3
Coursera – Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 20225-3 Downloadly IRSpace

Preparing for Google Cloud Certification is a data engineering course from Coursera . This set of courses provides you with the skills you need to progress in your career path. This professional course includes a combination of hands-on work using the Qwiklabs platform to help you apply the skills you are learning. You will gain hands-on experience while working with the concepts taught in the course modules.
What you will learn in the Preparing for Google Cloud Certification course set:
- Identify the purpose and key value of big data and machine learning products in Google Cloud
- Use BigQuery to perform cross-data analysis
- Use Cloud SQL and Dataproc to transfer existing MySQL and Hadoop / Pig / Spark / Hive to Google Cloud
- Choose from a variety of data processing products in Google Cloud
Skills you will learn in this course:
- Information Engineering
- Google Cloud
- Bigquery
- Tensorflow
- Cloud Computing
- Google Cloud platform
Course details:
Publisher: Coursera
Instructor: Google Cloud Training
Language: English
Level of Training: Average
Number of Courses: 5
Duration: 1 month at 10 hours a week
Courses in the Preparing for Google Cloud Certification suite:
Prerequisites course
One (1) year of experience with one or more of the following:
• A common query language such as SQL
• Extract, transform, load activities
• Data modeling
• Machine learning and / or statistics
• Programming in Python
Images Preparing for Google Cloud Certification
Sample film
Installation guide
After Extract, watch with your favorite Player.
Previous title:
Data Engineering with Google Cloud Professional Certificate
Subtitle: English and other languages
Quality: 720
This collection includes 5 different courses.
Download link
Course 1 – Modernizing Data Lakes and Data Warehouses with Google Cloud
Course 2 – Building Batch Data Pipelines on Google Cloud
Course 3 – Building Resilient Streaming Analytics Systems on Google Cloud
Course 4 – Smart Analytics, Machine Learning, and AI on Google Cloud
Course 5 – Preparing for your Professional Data Engineer Journey
Size
808 GB