AWS: Data Analysis and Visualization (Coursera)

Offered by Whizlabs,
AWS: Data Analysis and Visualization (Coursera)

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.

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

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.
Module 1: AWS: Data Analysis and Visualization Part 1
Module 2: AWS: Data Analysis and Visualization Part 2
Module 3: AWS: Data Analysis and Visualization Part 3
Course 4 of 5 in the Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization.

What You Will 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.

Syllabus

WEEK 1
AWS: Data Analysis and Visualization Part 1
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.

WEEK 2
AWS: Data Analysis and Visualization Part 2
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.

WEEK 3
AWS:Data Analysis and Visualization Part 3
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.

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

Related Courses

Interprofessional Healthcare Informatics (Coursera) Coursera
University of Minnesota

Interprofessional Healthcare Informatics (Coursera)

Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.

Sep 14th 2026
5-12 Weeks
Getting Started with Data Analytics on AWS (Coursera) Coursera
AWS

Getting Started with Data Analytics on AWS (Coursera)

With the explosion of data collection enabled by the internet, mobile applications and transformation into the cloud, effective data analytics is turning into a critical tool in practically every domain – from academia to enterprise. In this course, learners will get an introduction to the different types of data analytics (descriptive, diagnostic, predictive and prescriptive) and dive into the basics of descriptive data analysis using data and tools in the AWS Cloud.

Sep 21st 2026
1 Week
Doing Economics: Measuring Climate Change (Coursera) Coursera
University of London,University College London,CORE

Doing Economics: Measuring Climate Change (Coursera)

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to provide background information on the data you are working with. You will also learn about the consequences of climate change and how governments can address this issue.

Sep 21st 2026
4 Weeks
Fundamentals of Data Analysis in Excel (Coursera) Coursera
Corporate Finance Institute

Fundamentals of Data Analysis in Excel (Coursera)

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. Finally, you’ll visualize those insights by building a dashboard in Excel. You’ll apply these skills using modern functionality like dynamic array formulas, linked data types, and Ideas in Excel. You’ll work hands-on with real-world scenarios, using datasets pulled from financial statements and retail sales.

Sep 21st 2026
5-12 Weeks
Preparing for the Google Cloud Professional Cloud Architect Exam (Coursera) Coursera
Google Cloud

Preparing for the Google Cloud Professional Cloud Architect Exam (Coursera)

From the course: "The best way to prepare for the exam is to be competent in the skills required of the job." This course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.

Sep 21st 2026
1 Week
Bayesian Statistics: Mixture Models (Coursera) Coursera
University of California, Santa Cruz

Bayesian Statistics: Mixture Models (Coursera)

Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Statistics is best learned by doing it, not just watching a video, so the course is structured to help you learn through application.

Sep 21st 2026
5-12 Weeks
Assessing Health Program Delivery (Coursera) Coursera
Johns Hopkins University

Assessing Health Program Delivery (Coursera)

This course provides in-depth knowledge about implementation strength, quality of care, and service utilization, which are essential components of health program delivery. This course is primarily aimed at implementers, managers, funders, and evaluators of health programs in low- and middle-income settings (LMISs) targeting women and children, and undergraduate and graduate students in health-related fields.

Sep 21st 2026
5-12 Weeks
Football: More than a Game (Coursera) Coursera
University of Edinburgh

Football: More than a Game (Coursera)

Explore the world of football (soccer), the money, the rivalries, the trends, the past, the present, the men’s game, the women's game and the real issues. Whether you love it, hate it or try to ignore it – join us as we go behind the scenes to examine why football is more than just a game.

Sep 21st 2026
5-12 Weeks