certificationNationally Recognized

AWS Certified Data Analytics - Specialty

The AWS Certified Data Analytics - Specialty certification validates expertise in using AWS data lakes and analytics services to get insights from data. It covers areas such as big data, data processing, and data security on AWS platforms.

Total Cost

Estimated Budget

$300$3,300

Median Salary

Annual Earnings

$112,590

Job Growth

10-Year Outlook

33.5%

Training Hours

Total Program Duration

No specific requirement, but extensive AWS-specific experience and study are necessary

Who Needs This Credential?

Data analysts, data scientists, and professionals working with data analytics on AWS need this certification to demonstrate their skills and enhance their career opportunities.

Not applicable as this certification is recognized globally and does not vary by state or country.

Amazon Web Services (AWS)Information Technology And Data AnalyticsNationally Recognized

Requirements

To earn the AWS Certified Data Analytics Specialty credential, candidates must have a minimum of five years of experience with data analytics technologies and at least two years of hands-on experience working with AWS. The certification requires passing a rigorous exam that tests a candidate's ability to define AWS data analytics services and understand how they integrate with one another.

Minimum Age
18
Minimum Education
High school diploma or equivalent
Training Hours
No specific requirement, but extensive AWS-specific experience and study are necessary

Other Requirements

Candidates must register and pass the AWS Certified Data Analytics - Specialty (DAS-C01) exam

How to Become AWS Certified Data Analytics Specialty Certified

The AWS Certified Data Analytics Specialty certification process typically involves 5-7 steps and can take several months to complete depending on preparation pace. The path includes gaining experience, studying, taking practice exams, and passing the official exam.

1

Gain Relevant Experience

Before attempting the certification, professionals should have at least two years of experience working with AWS data analytics services. This practical experience is crucial for understanding the complexities of the exam.

2 years Free

Work on varied AWS projects to broaden your hands-on experience.

2

Review Exam Guide and Sample Questions

Download and review the official AWS Certified Data Analytics Specialty exam guide from the AWS website. This guide provides a breakdown of the exam content and sample questions to understand the format.

1-2 weeks Free

Focus on the domains emphasized in the exam guide.

3

Enroll in a Training Course

Enroll in an official AWS training course or a reputable course from a third-party provider. Courses often include lectures, labs, and quizzes that align with the exam's content.

1-3 months $300-$2000

Choose a course that fits your learning style, whether online or in-person.

4

Study AWS Whitepapers and FAQs

AWS provides whitepapers and FAQs that cover technical information and best practices for data analytics. These resources are essential for deepening your understanding of specific services and technologies.

1 month Free

Prioritize reading materials that cover the domains outlined in the exam guide.

5

Take Practice Exams

Practice exams help identify strengths and weaknesses. They simulate the timing and pressure of the actual exam, which is crucial for effective preparation.

1-2 months $20-$100 per exam

Repeat practice exams to improve and track your progress.

6

Schedule and Take the Exam

Once ready, schedule the exam through the AWS Certification website. The exam is a timed, multiple-choice test that requires a deep understanding of AWS data analytics services.

3-4 hours $300

Ensure you are well-rested and prepared on the day of the exam.

7

Recertify Every Three Years

AWS certifications are valid for three years. Professionals must recertify to keep their credentials current, which involves passing a recertification exam or earning a higher-level certification.

Every 3 years $75-$300

Stay updated with AWS innovations to reduce study time for recertification.

Cost Breakdown

The total costs for obtaining the AWS Certified Data Analytics Specialty certification vary mainly due to training expenses, which can differ based on the provider and course format. The exam fee is fixed, and there is no application or background check fee. Financial aid options are limited, but some employers may cover costs.

Training Program$0$3,000
Exam Fee$300
Application Fee$NaN
Background Check$NaN
Total Estimated Cost$300$3,300

💰 Financial Aid Available

Many employers offer to pay for certification exams and training as part of professional development incentives.

Salary & Career Outlook

Entry Level

$85,000

Median Salary

$112,590

Experienced

$145,000

Job Outlook: 33.5%

The growth in data analytics roles is driven by the increasing reliance on data-driven decision-making across industries. As businesses continue to adopt cloud technologies and big data solutions, the demand for skilled data analytics professionals, particularly those with AWS certifications, is expected to rise significantly.

Corporate IT departmentsCloud service providers

Exam Information

The AWS Certified Data Analytics Specialty exam assesses an individual's expertise in using AWS data lakes and analytics services to derive insights from data. The exam consists of a written test covering various AWS tools and best practices for data analysis. Preparation can involve AWS training courses, documentation, and hands-on experience.

AWS Certified Data Analytics - Specialty

Administered by Amazon Web Services (AWS) • Fee: USD 300

Written test
65 questions180 minutesPassing: 750 out of 1000
Retake policy: If failed, a 14-day waiting period is required before retaking the exam. Additional fees apply.

Industry Insights

Data from Bureau of Labor Statistics & O*NET

AWS Certified Data Analytics Specialists Poised for Growth Amid a 3.1% Market Expansion by 2034

Current Employment

Projected

Growth Rate

+3.1%

New Positions

What's Driving Demand

The steady growth in AWS Certified Data Analytics Specialists is driven by businesses' increasing dependence on big data and cloud technology to drive decisions and innovations.

Increased reliance on big dataGrowth in tech-driven industriesExpansion of cloud technologies

The labor market for AWS Certified Data Analytics Specialists is set to grow by 3.1% from 2024 to 2034, indicating a steady demand for professionals skilled in managing and analyzing large datasets in the cloud. This growth, while modest, underscores the increasing reliance on data-driven decision-making across industries. As automation and AI continue to evolve, these specialists will find themselves at the forefront of integrating these technologies into everyday business practices, enhancing their roles rather than replacing them. With an aging population and shifting immigration policies, the demand for data-driven insights in healthcare, finance, and public policy is expected to rise, ensuring a robust market for these skills. For those considering this credential today, early adoption of AI tools offers a significant competitive advantage in an increasingly competitive field.

Long-Term Outlook

AI & Automation

low disruption risk

AI poses a low risk to AWS Certified Data Analytics Specialists, as it largely automates mundane tasks, freeing up professionals to tackle more complex analysis. AI advancements in predictive analytics and machine learning are tools that, when wielded by skilled analysts, can significantly enhance productivity and insights.

These changes are already being implemented, with more on the horizon.

Demographics

An aging population and varying immigration rates will increase the need for sophisticated data analysis in healthcare planning and policy making, making this credential increasingly relevant.

Key factor: Aging population

Policy & Regulation

Government policies related to data protection and privacy laws are evolving, which could impact how data analytics is applied across sectors.

Data privacy lawsInternational data exchange regulations

Industry Shifts

Industries employing AWS Certified Data Analytics Specialists are moving towards more integrated, real-time data analysis systems, creating new opportunities in sectors like fintech and telehealth.

Real-time data analyticsAI-driven predictive modeling

Top Skills

Analytical Thinking

85/100

Complex Problem Solving

80/100

Programming

78/100

Bottom Line

Individuals with an AWS Certified Data Analytics credential are well-placed to advance in a tech-driven job market, especially if they embrace AI and machine learning tools early in their careers.

State-by-State Variations

The AWS Certified Data Analytics Specialty certification requirements are generally consistent across states, as they are governed by a centralized certification process managed by Amazon Web Services.

Most Strict

Most Accessible

Reciprocity: Reciprocity issues do not apply to AWS certifications as they are universally recognized regardless of the state in which the certification was obtained.

Renewal Requirements

AWS Certified Data Analytics Specialty certification requires renewal every three years to ensure professionals stay current with the latest AWS technologies and best practices. Renewal involves passing a recertification exam, reinforcing the importance of ongoing professional development in a rapidly evolving field.

Renewal Period

every 3 years

Renewal Cost

$75 for the online proctored exam

CE Hours

None

If renewal is late, certification status is considered inactive. Professionals cannot claim certified status or use the certification logo.

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