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AWS Certified Data Analytics- Specialty | Training

Build a strong foundation in data analytics and advanced analytics on AWS, covering data storage, processing, analysis, and machine learning services. Learn how to design secure, scalable, and optimized analytics solutions while preparing for the AWS Data Analytics Specialty certification.

Duration:
2 days
Rating:
4.8/5.0
Level:
Intermediate
1500+ users onboarded

Who will Benefit from this Training?

  • Any learner who has a minimum of 5 years of experience with common data analytics technologies
  • Any learner having at least 2 years of hands-on experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions
  • Data scientists
  • Data analysts
  • Data engineers
  • IT professionals who are involved in designing and implementing data analytics solutions

Training Objectives

  • Understanding the various data analytics services provided by AWS.
  • Understanding how to store and manage data using AWS services like Amazon S3 and Amazon Glacier.
  • Understanding how to process data using AWS services like AWS Glue, Amazon Kinesis, and Amazon EMR.
  • Understanding how to perform data analysis using AWS services like Amazon QuickSight, Amazon SageMaker, and Amazon Machine Learning.
  • Understanding advanced analytics concepts like predictive analytics and machine learning, and how to implement them using AWS services.
  • Understanding how to ensure security and compliance of data and analytics workloads in AWS.
  • Understanding how to design and optimize data analytics solutions on AWS.
  • Preparing for the AWS Certified Data Analytics- Specialty certification exam, including review of exam topics and practice questions.

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Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut

Key training modules

Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
  • Collection (18%)
  • Determine the operational characteristics of the collection system, Select a collection system that handles the frequency, volume, and source of data, Select a collection system that addresses the key properties of data, such as order, format, and compression.
  • Storage and Data Management (22%)
  • Determine the operational characteristics of the storage solution for analytics, Determine data access and retrieval patterns, Select the appropriate data layout, schema, structure, and format, Define data lifecycle based on usage patterns and business requirements, Determine the appropriate system for cataloging data and managing metadata.
  • Processing (24%)
  • Determine appropriate data processing solution requirements, Design a solution for transforming and preparing data for analysis, Automate and operationalize data processing solutions.
  • Analysis and Visualization (18%)
  • Determine the operational characteristics of the analysis and visualization solution, Select the appropriate data analysis solution for a given scenario, Select the appropriate data visualization solution for a given scenario.
  • Security (18%)
  • Select appropriate authentication and authorization mechanisms, Apply data protection and encryption techniques, Apply data governance and compliance controls.

Hands-on Experience with Tools

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Training Delivery Format

Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
100% Live
on-site/online training
Hands-on
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program

1

Personalisation

Customising curriculum and projects to prepare your team for challenges within your industry

2

Implementation

Supplementing training with consulting support to ensure implementation in real projects

3

Why AWS Data Analytics- Specialty Certified Professional for your business?

  • Expertise in designing and implementing data solutions: These professionals have the expertise to design and implement scalable, cost-effective, and secure data solutions on AWS, which can help your business to optimize its data infrastructure.
  • Improved decision-making: The data analytics solutions designed by AWS Certified Data Analytics- Specialty certified professionals can help your business to make data-driven decisions, which can lead to improved business outcomes.
  • Cost optimization: AWS Certified Data Analytics- Specialty-certified professionals can help your business to optimize its data infrastructure by using cost-effective AWS services and solutions.

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Frequently Asked Questions

1. What are the pre-requisites for this training?
Faq PlusFaq Minus

The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
Faq PlusFaq Minus

We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
Faq PlusFaq Minus

Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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