The AWS Certified Data Analytics – Specialty course is for people who work in data analytics and want to learn how to use AWS for more advanced tasks.It is all about making data solutions that are safe, can grow, and don't cost too much.Using AWS services, you will learn how to collect, store, process, and visualize data.This certification shows that you can turn raw data into useful information that can help a business grow.
AWS
AWS Certified Data Analytics – Specialty
The AWS Certified Data Analytics – Specialty course shows that you know how to design, build, and secure analytics solutions on AWS. It includes using services like Redshift, S3, Glue, Athena, and QuickSight to collect, store, process, and display data.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 weeks
Placement Client
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About AWS Certified Data Analytics – Specialty
Training Plan
01
About trainer
Working professional who is carrying more then 10 years of industry experience.
02
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
03
e-Book
E-book provided by TechPratham. All rights reserved.
04
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
05
Video Recording
Daily Session would be recorded and shared to the candidate.
06
Projects
Live projects will be provided for hands-on practice.
07
Resume Building
Expert-guided resume building with industry-focused content support.
08
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
<h1>AWS Certified Data Analytics – Specialty</h1> Course Curriculum
Introduction to AWS Data Analytics
Understand the exam scope, AWS analytics services, and use cases.
Exam domains overview
Analytics service categories
AWS data lifecycle
Use cases & architecture patterns
Data Collection
Learn to ingest structured and unstructured data at scale.
Kinesis Data Streams
Kinesis Data Firehose
AWS IoT Core ingestion
Database migration service (DMS)
Data Storage & Management
Explore storage solutions optimized for analytics workloads.
Amazon S3 data lake
Redshift data warehouse
DynamoDB for NoSQL storage
AWS Glue Data Catalog
Data Processing & Transformation
Transform, clean, and prepare data for analysis.
AWS Glue ETL jobs
Amazon EMR (Spark/Hadoop)
AWS Lambda for stream processing
Data pipelines orchestration
Data Analysis & Query Services
Query and analyze data using AWS managed services.
Amazon Athena (serverless SQL)
Amazon Redshift Spectrum
Kinesis Data Analytics
Federated queries
Data Visualization & Reporting
Present insights using visualization tools and dashboards.
Amazon QuickSight
BI dashboards & reporting
Storytelling with data
Integrating ML insights
AWS Courses
No related courses found
Additional Program Highlights
Comprehensive study materials and resources
HD
Professional resume building session
HD
Master your interview skills
HD
Real-world project demonstrations
HD
Upcoming Batches
Can't find a batch you were looking for?
Who Should Take <h1>AWS Certified Data Analytics – Specialty</h1>
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1>AWS Certified Data Analytics – Specialty</h1>
Real-Time Streaming Analytics with Kinesis
Create a real-time data pipeline with Amazon Kinesis to record live streams (such as clickstream or Internet of Things data), process them using AWS Lambda or Kinesis Data Analytics, store the raw data in S3, and then import the processed output into Redshift. Lastly, build QuickSight dashboards to see real-time trends such as fraud detection, sensor monitoring, and user activity.
Data Lake with ETL Pipeline
Create a centralized data lake on Amazon S3 to house both structured and unstructured data from RDS, DynamoDB, and Kinesis, among other sources. For ETL and schema discovery, use AWS Glue; for data querying, use Athena; and for data security, use IAM and KMS. QuickSight provides analysts with direct access to and visualization of data for reporting and insights.
Business Intelligence Dashboard with Redshift
To make a BI solution, get sales and customer data from RDS, change it with Glue, and then load it into Redshift so that it can be queried more easily. Use Step Functions to create automated pipelines and QuickSight dashboards to help businesses keep track of key performance indicators (KPIs) like revenue, retention, and product performance.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Latest Hiring
No hiring posts
Recently Placed Candidates
No placements available
Latest Hiring
No hiring posts
Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
Feature
TechPratham Advantage
Industry Standard Institutes
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
What is the AWS Certified Data Analytics – Specialty certification?
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What skills are measured in DAS-C01?
Are there prerequisites for DAS-C01?
How long is the DAS-C01 certification valid?
How much does the DAS-C01 exam cost?
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