Data Engineering, Big Data, and Machine Learning on GCP Specialization
- Offered byCoursera
Data Engineering, Big Data, and Machine Learning on GCP Specialization at Coursera Overview
Duration | 3 months |
Start from | Start Now |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Go to Website |
Credential | Certificate |
Data Engineering, Big Data, and Machine Learning on GCP Specialization at Coursera Highlights
- Earn a certificate of completion from Google cloud
- Gain an expertise on widely used skills like Tensorflow, Bigquery, Google Cloud Platform, Cloud Computing
Data Engineering, Big Data, and Machine Learning on GCP Specialization at Coursera Course details
- Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
- Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
- Employ BigQuery to carry out interactive data analysis.
- Choose between different data processing products on Google Cloud.
- 87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.
- Here's what you have to do
- 1) Complete the Coursera Data Engineering Professional Certificate
- 2) Review other recommended resources for the Google Cloud Professional Data Engineer certification exam
- 3) Review the Professional Data Engineer exam guide
- 4) Complete Professional Data Engineer sample questions
- 5) Register for the Google Cloud certification exam (remotely or at a test center)
- Applied Learning Project
- This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform 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 Google BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.
Data Engineering, Big Data, and Machine Learning on GCP Specialization at Coursera Curriculum
Google Cloud Big Data and Machine Learning Fundamentals
Course Introduction
Big Data and Machine Learning on Google Cloud
Modernizing Data Lakes and Data Warehouses with Google Cloud
Introduction
Building a data warehouse
Building a data warehouse
Introduction
Introduction to Building Batch Data Pipelines
Executing Spark on Dataproc
Serverless Data Processing with Dataflow
Manage Data Pipelines with Cloud Data Fusion and Cloud Composer
Course Summary
Building Resilient Streaming Analytics Systems on Google Cloud
Introduction
High-Throughput BigQuery and Bigtable Streaming Features
Smart Analytics, Machine Learning, and AI on GCP
Introduction
Productionizing Custom ML Models