This part of the curriculum is focused on containers and management of them using Kubernetes and Google Kubernetes Engine. Learning Objectives: Understand the definition of a container and describe several use cases for it. Understand what Kubernetes and Google Kubernetes Engine are for and give different use cases for them. Learn the various purposes and … Read more
Kubernetes and Google Kubernetes Engine are used to manage containers in this section of the course. Learning Objectives: Explain what a container is and its applications. Describe Kubernetes and Google Kubernetes Engine and their respective use cases. Understand hybrid and multi-cloud computing with Anthos. CONTAINERS IN THE CLOUD 1. Select two reasons for using containers … Read more
The aim of this module is to understand Google’s five primary core products in Cloud Storage: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore, which were discussed in this section. The outcome of Learning: Define the Cloud Storage resource and use cases. Differentiate between storage offered by Google Clouds. STORAGE IN THE CLOUD … Read more
This part of the course is to learn how Google Compute Engine works, particularly its virtual networking. Learning Objectives: Ascertain the essence of Google Compute Engine and its possible fields of applications. Learn the fundamentals of networking in Google Cloud. QUIZ: VIRTUAL MACHINES AND NETWORKS IN THE CLOUD 1. Which term describes a secure, individual, … Read more
The fundamental advantages of Google Cloud are covered in this segment, concerning introducing Google’s core network infrastructure components, and distinguishing Infrastructure-as-a-Service (IaaS) from Platform-as-a-Service (PaaS). Learning Objectives: Understand benefits of using Google Cloud. Define components of Google’s network infrastructure: points of presence, data centers, regions, and zones. Distinguish between Infrastructure as a Service (IaaS) and … Read more
Quite profoundly mentioned in this part, the benefits attached to using Google Cloud. Components of Google’s network infrastructure make the discussion dissimilarities between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Learning Objectives: Recognize the advantages one can derive by using Google Cloud. Define components of Google’s network infrastructure: Points of Presence, data centers, regions, and zones. Distinguish … Read more
Using Your Portfolio – Coursera Answers – Introduction In this component of the Coursera Google Data Analytics Capstone course, you will be developing further on your skills in Google Data Analytics, preparing for professional qualifications. It would give you ideas on presenting your portfolio during interviews, identifying key skills, and building an elevator pitch for … Read more
You can either complete your case study using one of the two approaches that appear in a segment of the coursework for the Coursera Google Data Analytics course: using the dataset described in one of the business cases or finding a public dataset around which to develop your own business case. You will also learn … Read more
Learn About Capstone Basics INTRODUCTION The hallmark of the Coursera Google Data Analytics Professional Certificate is the capstone project, which forms the final piece of its learning puzzle. It is indeed a hands-on avenue for allowing the students to display their competencies when it comes to data analytics-a true learning journey brought into reality. It … Read more
INTRODUCTION – Unsupervised Learning Techniques A comprehensive module on unsupervised learning in machine learning will be examined by participants. The first introduction will speak about the supervised learning and unsupervised learning methods and the relative advantages and applications of both. Basic components of unsupervised learning will then be laid down in participants to prepare them … Read more