EdX

Preparing for the Google Cloud Professional Data Engineer Exam (edX)

Offered by Google Cloud,
Preparing for the Google Cloud Professional Data Engineer Exam (edX)

This course is intended for the following participants: 1.Cloud professionals interested in taking the Data Engineer certification exam. 2.Data engineering professionals interested in taking the Data Engineer certification exam.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.
This course is part of the Google Cloud Data Engineer Learning Path Professional Certificate.

What you'll learn

  • Position the Professional Data Engineer Certification
  • Provide information, tips, and advice on taking the exam
  • Review each section of the exam covering highest-level concepts to indicate skill gaps/areas of study
  • Connect candidates to appropriate target learning

Syllabus

  1. Welcome to the course

Introduction

  1. Understanding the Professional Data Engineer Certification

Establish basic knowledge about the certification exam and eliminate any confusion or misunderstandings about the process and nature of the exam itself.

  1. Designing Data Processing Systems

Tips and examples covering data processing systems design skills, data structures, and database skills that could be tested on the exam.

  1. Building and Operationalizing Data Processing Systems

Tips and examples covering the building of data processing systems, including assembling data processing from parts, as well as using full services.

  1. Operationalizing Machine Learning Models

Tips and examples covering data analysis, analysis and optimization of business processes, and machine learning skills that could be tested on the exam.

  1. Security, Policy, and Reliability

Tips and examples covering reliability, policies, security, and compliance skills that could be tested on the exam.

  1. Resources and Next Steps

Identify resources for learning more about identified subjects that could be tested on the exam

  1. Course Resources

PDF links to all modules

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Elastic Google Cloud Infrastructure: Scaling and Automation (edX) EdX
Google Cloud

Elastic Google Cloud Infrastructure: Scaling and Automation (edX)

Computer Science

Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine. This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud.

Self Paced
Self-Paced
Scaling Automation Google Compute Engine
Details
Authoritative GCP (edX) EdX
AI (Pragmatic AI Labs)

Authoritative GCP (edX)

Computer Science

Master Google Cloud Architecture and prepare for the Professional Cloud Architect certification exam through hands-on labs and expert instruction. This comprehensive course, designed for cloud architects and developers, covers the essential skills needed to design, plan, and manage robust enterprise solutions on Google Cloud Platform (GCP).

Self Paced
Self-Paced
GCP Google Cloud Platform Google Cloud
Details
Hacking PostgreSQL: Data Access Methods (edX) EdX
Ural Federal University,UrFUx

Hacking PostgreSQL: Data Access Methods (edX)

CS: Software Engineering Statistics & Data Analysis

Learn the science, engineering practices and hacking techniques of data access – core aspects of information processing in a database. This course is about data storage and data processing technologies with examples from PostgreSQL. It is geared toward database core developers, operation systems developers, system architects, and all those who want to understand databases in more detail.

No sessions available
13-24 Weeks
Algorithms Hacking Data Access
Details
Data Processing and Analysis with Excel (edX) EdX
Rochester Institute of Technology,RITx

Data Processing and Analysis with Excel (edX)

Statistics & Data Analysis

Learn to use Excel to organize and clean data so it can be manipulated and analyzed. In this course, you will learn how to organize your data within the Microsoft Office Excel software tool. Once organized, we will discuss data cleaning. You will learn how to identify outliers and anomalies in the data, and how to identify and change data-types. Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings.

Self Paced
Self-Paced
Excel Data Analysis Microsoft Excel
Details