AWS: Data Analysis and Visualization Course is the fourth course of AWS Certified Data Analytics Speciality Specialization. This course teaches Data Analysis and Visualization by exploring AWS Services such as Athena, Kinesis, QuickSight, Redshift and Kibana. The course is divided into three modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 4:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
AWS: Data Analysis and Visualization
AWS: Data Analysis and Visualization
This course is part of Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization
Taught in English
Instructor: Whizlabs Instructor
Included with 
Course
Gain insight into a topic and learn the fundamentals
Beginner level
Recommended experience
7 hours (approximately)
Flexible schedule
Learn at your own pace
What you'll learn
Understand analysis and visualization based services
Design appropriate data analysis solution for a given scenario
Examine AWS based Visualization Services.
Examine AWS based Analytics Services.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
9 quizzes
Course
Gain insight into a topic and learn the fundamentals
Beginner level
Recommended experience
7 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
Welcome to Week 1 of the AWS: Data Analysis and Visualization. This week, we will focus on determining the operational characteristics of an analysis and visualization solution, and analyzing AWS services such as usage patterns, performance, and cost. We will also learn how to implement Kinesis Data Analytics to analyze streaming data in real-time. Through practical demonstrations, we will gain hands-on experience with analyzing data using Kinesis Data Analytics, and learn how to effectively use AWS services for analysis and visualization needs.
What's included
10 videos3 readings3 quizzes1 discussion prompt
Welcome to Week 2 of the AWS: Data Analysis and Visualization. This week, we will analyze various AWS services based on their durability, availability, scalability, elasticity, interfaces, and anti-patterns. We will also learn how to demonstrate AWS services visualization and describe Amazon QuickSight. By the end of the week, we should have a good understanding of how to leverage AWS services for data visualization while considering their durability, availability, scalability, elasticity, and interfaces, as well as how to use QuickSight for business intelligence needs.
What's included
11 videos1 reading3 quizzes
Welcome to Week 3 of the AWS: Data Analysis and Visualization. This week, we will focus on selecting the appropriate data analysis solution for a given scenario, and implementing various patterns using EMR, Kinesis, and Redshift. We will also learn how to implement Elasticsearch and Kibana for data visualization needs. By the end of the week, we should have a good understanding of how to leverage AWS services and patterns for data analysis and visualization needs, and how to effectively use Elasticsearch and Kibana for data visualization.
What's included
12 videos3 readings3 quizzes
Instructor
Offered by
Recommended if you're interested in Data Analysis
Whizlabs
Google Cloud
Whizlabs
Whizlabs
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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