explanation
Preparing for Google Cloud certification is a data engineering course that includes: Coursera , this set of courses will give you the skills you need to advance your career. This specialized 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 using the concepts learned in the course modules.
Here’s what you’ll learn in this set of Google Cloud certification preparation courses:
- Understand the purpose and core value of Google Cloud’s big data and machine learning products.
- Perform cross-data analysis using BigQuery
- Migrate existing MySQL and Hadoop/Pig/Spark/Hive to Google Cloud using Cloud SQL and Dataproc
- Choose from a variety of data processing products on Google Cloud
The skills you will learn in this course include:
- information engineering
- google cloud
- BigQuery
- TensorFlow
- cloud computing
- Google Cloud Platform
Course details:
Publisher: Coursera
teacher: Google Cloud Training
Language:English
Training level: average
Number of courses: 6
Period: Assuming 4 hours a week, 4 months
Courses in the Google Cloud Certification Prep Suite:
Course 1
Google Cloud Platform Big Data and Machine Learning Basics
course 2
Modernize your data lake and data warehouse with GCP
Course 3
Building a batch data pipeline on GCP
4 courses
Building a resilient streaming analytics system on GCP
5 courses
GCP’s smart analytics, machine learning, and AI
6 courses
Preparing for the Google Cloud Professional Data Engineer Exam
Prerequisite course
One year of experience in one or more of the following:
• Common query languages such as SQL
• Extract, transform and load activities.
• Data modeling
• Machine learning and/or statistics
• Python programming
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Previous title:
Data Engineering with Google Cloud Professional Certification
Subtitles: English and other languages
Quality: 720
This collection includes six different courses.
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