AWS: Data Analysis and Visualization
- Offered byCoursera
- Public/Government Institute
AWS: Data Analysis and Visualization at Coursera Overview
Duration | 7 hours |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
AWS: Data Analysis and Visualization at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 5 in the Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization
- Beginner Level Experience of working with AWS services for designing, building, securing, and maintaining analytics solutions
- Approx. 7 hours to complete
- English Subtitles: English
AWS: Data Analysis and Visualization at Coursera Course details
- 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.
- 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
AWS: Data Analysis and Visualization at Coursera Curriculum
AWS: Data Analysis and Visualization Part 1
Introduction to analysis and visualization Part 1
Introduction to analysis and visualization Part 2
Determine the operational characteristics of an analysis and visualization solution Part 1
Determine the operational characteristics of an analysis and visualization solution Part 2
Analytics AWS services - usage patterns, performance, and cost Part 1
Analytics AWS services - usage patterns, performance, and cost Part 2
Analytics AWS services - usage patterns, performance, and cost Part 3
Athena lab
Kinesis Data Analytics lab - part 1
Kinesis Data Analytics lab - part 2
Course Outline
Welcome to the Course
AWS: Data Analysis and Visualization Part 1 Overview
Introduction to analysis and visualization Knowledge Test
Athena and Kinesis Data Analytics Knowledge Test
Week 1 Assessment
AWS: Data Analysis and Visualization Part 2
Durability, availability, scalability, elasticity, interfaces, and anti-patterns Part 1
Durability, availability, scalability, elasticity, interfaces, and anti-patterns Part 2
Durability, availability, scalability, elasticity, interfaces, and anti-patterns Part 3
Visualization AWS services Part 1
Visualization AWS services Part 2
Visualization AWS services lab
Amazon QuickSight Part 1
Amazon QuickSight Part 2
QuickSight lab
Analysis for Visuzalization
Redshift Spectrum lab
AWS: Data Analysis and Visualization Part 2 Overview
AWS Services-Visualization ,"Illities",Interfaces and Antipatterns Knowledge Test
AWS services: QuickSight and Redshift Knowledge Test
Week 2 Assessment
AWS:Data Analysis and Visualization Part 3
Select the appropriate data analysis solution for a given scenario Part 1
Select the appropriate data analysis solution for a given scenario Part 2
EMR, Kinesis, and Redshift patterns Part 1
EMR, Kinesis, and Redshift patterns Part 2
EMR, Kinesis, and Redshift patterns lab
Select the appropriate data visualization solution for a given scenario Part 1
Select the appropriate data visualization solution for a given scenario Part 2
Kibana visualizations
Elasticsearch and Kibana visualizations lab
Domain summary Part 1
Domain summary Part 2
Domain summary Part 3
AWS: Data Analysis and Visualization Part 3 Overview
Course Conclusion
Key Takeaways of the course
EMR, Kinesis, and Redshift patterns Knowledge Test
Week 3 Assessment
Overall Course Assessment
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