2. Data Analytics Fundamentals Digital Course by AWS Training

This is a digital training that is self-paced and allows candidates to learn more about planning data analysis solutions & processes. This course walks individuals through the five subjects of the AWS Certified Data Analytics exam, covering basic architecture, potential use cases, and value prepositions, among the rest. It provides detailed information about the AWS services and will the most beneficial for data scientists, data analysts, and data architects who want to enhance their skills in AWS solutions and their implementation. Some of the skills one will master during this program include the following:

• The use of Amazon Kinesis for processing streaming data
• Understanding different ways used to analyze data and make reports with Amazon Athena and Amazon QuickSight tools
• Explain AWS services and their work to visualize data
• Knowledge of the types of data such as structured, unstructured, and semi-structured
• Analyzing how Amazon EMR, Amazon Redshift, and AWS Glue work to process, transform, and cleanse data in data analysis solutions
• Classifying the characteristics of data analysis solutions
• Discovering different concepts of data schemas and defining how data and information is stored in the metastores
• Analyzing the characteristics of the storage system for source data

It is recommended to take this course after experiencing database concepts. The applicant should have a basic understanding of data storage, analytics, and processing. Sessions are offered in Japanese, Portuguese, Spanish, Indonesian, Thai, Vietnamese, Korean, Simplified Chinese, and English.

Reference: https://d1.awsstatic.com/training-and-certification/docs-data-analytics-specialty/AWS-Certified-Data-Analytics-Specialty-Exam-Guide_v1.0_08-23-2019_FINAL.pdf

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AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam Certified Professional salary

The estimated average salary of AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam is listed below:

• India: 60,858 INR
• Europe: 106,687 EURO
• England: 91,773 POUND
• United States: $129,868 USD

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