Exam Readiness: AWS Certified Data Analytics – Specialty Certification Training


Exam Readiness: AWS Certified Data Analytics – Specialty Certification Training Course Overview

Enroll for 1-day AWS Certified Data Analytics – Specialty certification training course from Koenig Solutions accredited by AWS. AWS Certified Data Analytics- Specialty course is designed to validate technical skills and experience in designing and implementing AWS services to get value from data.

Through a blend of hands-on labs and interactive lectures, you will be able to prepare for the exam by exploring the subject areas of the exam and familiarizing you with the question style and focus of the exam. The course reviews sample exam questions in each subject area and teaches you how to interpret the concepts being tested so that you can more easily eliminate wrong answers.

Target Audience:

  • Candidate working as IT professionals
  • Candidate working as Data Platform Engineers/Architects.
  • Candidate working as Data Analysts
  • Candidate working as Data Scientists.
  • Candidate working as Solution Architects.

Learning Objectives

After completing this course, you will be able to:

  • Data collection systems
  • Storage and data management issues
  • Data processing solutions
  • Analysis and visualization of analytical data
  • Data analysis system security

 


Exam Readiness: AWS Certified Data Analytics – Specialty Certification Training (Duration : 8 Hours) Download Course Contents

Live Virtual Classroom (Instructor-Led)

Fee : On Request
9 AM - 5 PM (Flexible Time Slots for 4 hours option)




April
8 Hours/Day
19
19-20
May
8 Hours/Day
03
09
10
17
03-04
09-10
10-11
17-18
June
8 Hours/Day
07
13
14
21
07-08
13-14
14-15
21-22
July
8 Hours/Day
05
11
12
05-06
11-12
12-13
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

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Course Prerequisites

  • At least 5 years of experience with data analysis technologies
  • At least 2 years of practical experience working with AWS
  • Knowledge and experience working with AWS services to design, build, secure, and maintain analytics solutions