Whizlabs
AWS: Data Analysis and Visualization
Whizlabs

AWS: Data Analysis and Visualization

Whizlabs Instructor

Instructor: Whizlabs Instructor

Included with Coursera Plus

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

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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
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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

Whizlabs Instructor
Whizlabs
54 Courses28,562 learners

Offered by

Whizlabs

Recommended if you're interested in Data Analysis

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