NEW AWS Certified Data Analytics Specialty DAS C01 Course
About this course
Welcome to this course. If you want to pass the NEW AWS Certified Data Analytics Specialty DAS C01 Exam, then look no further. I am here to help you prepare and PASS the newest AWS Certified Data Analytics Specialty DAS C01Please note that our course material, like the AWS certification exams, are continually evolving. We have released a new version, with a stronger and deeper focus on architectures in general, high availability, and the services you do need to know in greater depth.If you are a beginner, then that is great. You do not need to know anything about AWS since everything is provided in this course to get you up to speedAccording to salaries reported by LinkedIn members who work at Amazon Web Services in United States The average salary for the role of Data Scientist with focus on AWS Machine Learning Architect at Amazon Web Services AWS in United States is 185000 US dollars per year. This salary is based on 122 salaries submitted by LinkedIn members with the title Data Analytics & Machine Learning Engineer at Amazon Web Services AWS in United States AWS Certified Data Analytics - Specialty certification course is geared for people who want to enhance their skills in AWS to help organizations design and migrate their architecture to the cloud. This is the next step after obtaining your Cloud Practitioners Certification. This course will develop your skills your learned from the Cloud Practitioners Course in further detail. We cover a broad range of topics with a specific concentration on High Availability, EC2, VPC, Storage and Overall Management of the AWS Console.You will learn AWS Sagemaker, AWS Machine Learning, Kinesis, Athena, Glue, QuickSight, Rekognition with Python, Jupyter notebooks, and much more.
69/100
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- What the provider tells you
- 45/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand AWS data analytics services and architecture
- use AWS tools like Sagemaker, Kinesis, and QuickSight
- implement high availability solutions on AWS
- manage data efficiently in the AWS console
Course objectives
- prepare for the AWS Certified Data Analytics Specialty DAS C01 Exam
- build on the foundational knowledge from the Cloud Practitioners Course
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