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Data Engineering, Big Data, and Machine Learning on GCP Specialization 

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Data Engineering, Big Data, and Machine Learning on GCP Specialization
 at 
Coursera 
Overview

Data Engineering on Google Cloud Platform. Launch your career in Data Engineering. Deliver business value with big data and machine learning.

Duration

3 months

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Intermediate

Official Website

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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
Details Icon

Data Engineering, Big Data, and Machine Learning on GCP Specialization
 at 
Coursera 
Course details

What are the course deliverables?
  • 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.
More about this course
  • 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.
Read more

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

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Data Engineering, Big Data, and Machine Learning on GCP Specialization
 at 
Coursera 
Students Ratings & Reviews

4.5/5
Verified Icon2 Ratings
A
Akash Singh
Data Engineering, Big Data, and Machine Learning on GCP Specialization
Offered by Coursera
4
Other: Great course for someone whos interested in cloud based data Engineering as profession and even passionate one too
Reviewed on 11 Oct 2021Read More
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Data Engineering, Big Data, and Machine Learning on GCP Specialization
 at 
Coursera 

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