Course

Exam Prep DAS-C01: AWS Certified Data Analytics Specialty

Whizlabs

Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization is tailored for individuals seeking to excel in data analytics roles. This comprehensive course equips learners with the technical skills required to design, build, and secure analytics solutions using AWS services. It encompasses a set of 5 courses covering domain requirements for achieving AWS Certified Data Analytics Specialty Certification.

  • Gain fundamental understanding of Data Analytics
  • Learn to work with various AWS services essential for Data Analytics
  • Acquire skills to implement Kinesis Data streams, AWS Glue, DynamoDB, Redshift, and more
  • Analyze modeling concepts, train machine learning models, and design appropriate data analysis solutions
  • Understand security procedures, identity and access management permissions, and data protection techniques in the context of data analytics

This specialization also includes practice and graded quizzes to test comprehension of the course content.

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Exam Prep DAS-C01: AWS Certified Data Analytics Specialty
Course Modules

Master the essential modules for AWS Certified Data Analytics Specialty. Covering data collection, storage, processing, analysis, visualization, and security, this specialization prepares learners comprehensively.

AWS: Data Collection Systems

Describe data collection stages and compare their systems

  • Implement Kinesis Data streams with Kinesis Producer Library and KCL
  • Describe Kinesis Data Firehouse and compare their functions
  • Implement the AWS Glue, experiment their functions with others services

AWS: Storage Systems and Data Management

Gain insights into storage components and operational storage services

  • Implement DynamoDB Operational Characteristics and Redshift
  • Analyze various approaches for Management of data

AWS Data Processing

Explore modeling concepts and machine learning model training

  • Analyze performance of machine learning models
  • Implement automatic model tuning by training a model

AWS: Data Analysis and Visualization

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

AWS: Security in Data Analytics

Examine security procedures in the context of data analytics

  • Understand different Identity and Access Management Permissions
  • Implement data protection and encryption techniques
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