Overview
87% of Google Cloud certified users feel more confident in their cloud skills.
Here's what you have to do
Complete the Coursera Data Engineering Professional Certificate
Review other recommended resources for the Google Cloud Professional Data Engineer certification exam
Review the Professional Data Engineer exam guide
Complete Professional Data Engineer sample questions
Register for the Google Cloud certification exam (remotely or at a test center)
This professional Data Engineering, Big Data, and Machine Learning on GCP Specialization offered by Coursera in partnership with Google Cloud incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.
Applied Learning Project
This Specialization incorporates hands-on labs using our Qwiklabs platform.
These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.
Programme Structure
Courses include:
Google Cloud Platform Big Data
Machine Learning
Modernizing Data Lakes and Data Warehouses with GCP
Building Batch Data Pipelines on GCP
Building Resilient Streaming Analytics Systems on GCP
Smart Analytics, Machine Learning, and AI on GCP
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 460 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate Level
- Some related experience required.
- This specialization is aimed at learners and professionals who want to develop skills in data engineering, big data, and machine learning on Google Cloud, particularly those preparing for the Professional Data Engineer certification.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription