- 1. What is the AWS Certified Data Analytics Specialty Boot Camp?The AWS Certified Data Analytics Specialty Boot Camp is a comprehensive training program that covers key concepts in data analytics and how to leverage AWS services to analyze large datasets effectively. It prepares you for the AWS Certified Data Analytics Specialty certification, helping you master data collection, storage, processing, and visualization.
- 2. Who should take this boot camp?This boot camp is ideal for professionals working in data engineering, data science, or analytics roles who want to gain specialized knowledge in AWS data analytics services. It’s especially beneficial for those with a foundational understanding of cloud computing and data management.
- 3. What services will I learn about during the boot camp?You will gain hands-on experience with AWS services like Amazon Redshift, AWS Glue, Amazon Kinesis, and other key data analytics tools. These services help with data collection, storage, processing, and visualization, making it easier to work with large datasets in a secure and efficient way.
- 4. Do I need prior experience with AWS to join this boot camp?While prior AWS experience is helpful, this boot camp is designed to cater to both beginners and professionals with intermediate cloud skills. You will start with foundational concepts and progress to advanced techniques, making it accessible for anyone with a basic understanding of cloud computing.
- 5. What will I learn in this course?The boot camp will cover the entire data analytics lifecycle, from data collection and storage to processing and visualization. You'll also learn about data security, governance, and machine learning basics, gaining comprehensive knowledge of how to apply AWS services to real-world analytics problems.
- 6. How is this boot camp delivered?The course is available in both classroom training at our Chennai facility and online through live virtual sessions. Both formats offer interactive learning with real-time support from expert instructors, ensuring you can participate in hands-on workshops regardless of your location.
- 7. What is the duration of the AWS Certified Data Analytics Specialty Boot Camp?The boot camp typically runs for several weeks, depending on the schedule and format you choose. We offer both full-time and part-time options to accommodate the needs of professionals with busy schedules.
- 8. Will I get practical experience during the boot camp?Yes! You will work on hands-on labs and real-world scenarios that simulate actual data analytics challenges. This practical experience ensures you not only understand the theoretical aspects but are also prepared to apply your knowledge in the field.
- 9. How do I get certified after completing the course?After completing the boot camp, you will be fully prepared to take the AWS Certified Data Analytics Specialty exam. The training equips you with the knowledge and skills required to pass the exam and achieve certification, validating your expertise in AWS data analytics tools and practices.
- 10. How can I enroll in the AWS Certified Data Analytics Specialty Boot Camp?To enroll, visit our website at DreamsPlus, select the AWS Certified Data Analytics Specialty Boot Camp, and follow the registration steps. If you need further assistance, you can contact us via email at support@dreamsplus.in or call us at +91 95000 56713.
Advance Your Cloud Career with AWS Data Analytics Certification
At DreamsPlus, we provide a meticulously designed AWS Certified Data Analytics Specialty Boot Camp. This boot camp is tailored for professionals who want to master data analytics concepts and AWS services, ensuring they are fully prepared for the AWS Certified Data Analytics Specialty certification.
Course Overview
Our boot camp covers essential data analytics concepts and provides an in-depth understanding of AWS data analytics services and tools. You will learn how to:
- Data Analytics Concepts and Practices: Gain foundational knowledge of data analytics, including data collection, storage, processing, and visualization techniques.
- AWS Data Analytics Services and Tools: Dive deep into AWS services such as Amazon Redshift, AWS Glue, Amazon Kinesis, and more, learning how to leverage these tools for effective data analytics.
- Data Preparation, Processing, and Visualization: Develop skills in preparing, processing, and visualizing data using AWS tools. This includes working with large datasets and implementing best practices for data security and governance.
- Hands-on Experience: Engage in interactive workshops and labs that offer real-world scenarios, allowing you to apply your learning in practical situations. This hands-on approach ensures that you are not just theoretically prepared but also equipped with practical skills.
SYLLABUS
Domain 1: Collection 18% Domain 2: Storage and Data Management 22% Domain 3: Processing 24% Domain 4: Domain 5: Security 18%
Domain 1: Collection
1.1 Identify the collection system’s operational features 1.2 Choose a data collection system that can manage the volume, source, and frequency of data. 1.3 Choose a data collection method that takes into account the important characteristics of the data, like format, order, and compression.
Domain 2: Storage and Data Management
2.1 Identify the functional features of an analytics storage system. 2.2 Identify the patterns of data access and retrieval. 2.3 Choose a suitable format, structure, schema, and data layout. 2.4 Establish a data lifecycle according to consumption trends and organizational needs. 2.5 Choose a suitable metadata management and data cataloging system.
Domain 3: Processing
3.1 Establish the necessary requirements for the data processing solution. 3.2 Provide a method for converting and getting ready data for analysis. 3.3 Put a data processing system into automation and operationalization.
Domain 4: Analysis and Visualization
4.1 Determine the operational characteristics of an analysis and visualization solution. 4.2 Select the appropriate data analysis solution for a given scenario. 4.3 Select the appropriate data visualization solution for a given scenario.
Domain 5: Security
5.1 Select suitable methods for authorization and authentication. 5.2 Apply encryption and data protection methods. 5.3 Implement compliance and data governance measures.
Training Locations
Chennai: Experience our classroom training at DreamsPlus’ state-of-the-art facility in Chennai. Our on-site training sessions offer personalized guidance and the opportunity to collaborate with peers. Online: For those who prefer learning from home, our live virtual training sessions provide the same high-quality instruction as our classroom training. Learn from expert instructors through an interactive online platform that supports collaboration and real-time feedback.
FAQs for AWS Certified Data Analytics Specialty Boot Camp
What Will You Learn?
- Data Governance and Security
- Machine Learning Basics
- Data Analysis and Visualization
- Data Warehousing
- Data Processing and Transformation
- Data Collection and Storage
Course Curriculum
Course Benefits
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AWS Certified Data Analytics Specialty Certification Preparation: Our boot camp is designed to thoroughly prepare you for the AWS Certified Data Analytics Specialty certification exam. The curriculum aligns with the latest AWS standards and exam requirements, ensuring you have the knowledge and confidence to succeed.
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Enhanced Data Analytics Skills: By the end of the course, you will have developed a robust skill set in data analytics, including the ability to use AWS tools effectively. These skills are highly sought after in today’s data-driven world.
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Improved Career Prospects: Holding an AWS Certified Data Analytics Specialty certification can significantly boost your career prospects. Whether you are looking to advance in your current role or explore new opportunities, this certification demonstrates your expertise in a high-demand field.
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Competitive Edge in the Job Market: In a competitive job market, having specialized certifications like AWS Certified Data Analytics Specialty sets you apart from other candidates. It shows employers that you have the advanced skills needed to handle complex data analytics tasks.
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