As the world is becoming increasingly data-driven, businesses make use of more data to perform well and stay ahead in the competitive market field. This has resulted in a skyrocketing demand for data analysts who can efficiently analyze, manage, and derive insights from data. Amazon Web Services (AWS) is a cloud-based platform that provides a wide range of data analytics tools and services that allow businesses to process, store, and analyze large volumes of data cost-effectively and efficiently. Getting an AWS Data Analytics Certification is one of the top priorities for a successful career in data analytics. 

AWS Data Analytics Certification

As AWS data analytics tools and technologies are constantly evolving, it can be a dynamic career path for anybody who chooses the field. Being an AWS data analyst is a promising career for now and for the future.

Getting a degree in IT, computer science or data analytics can be a strong foundation, Gaining hands-on experience on real-world projects can help you expand your career.

The AWS Data Analytics certification is one of the 12 AWS certifications offered and one of the 6 at the specialty level. The test analyses your understanding of AWS services to design, build, secure, and maintain analytics solutions.

You should have a broad understanding of how these combine and become part of the larger data lifecycle of collection, storage, processing, and visualization. The certification is for software developers and data professionals who want to demonstrate their data analytics skills on the AWS platform.

The certification allows organizations to identify and develop talent with critical skills for implementing cloud initiatives. The AWS data analytics certification shows expertise in using AWS data lakes and analytics services to get insights from data.

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Duties and Responsibilities of an AWS Data Analyst 

An AWS Data analyst is responsible for bridging the gap between data and decision-making. Data analysis, dashboard/report creation, and metric definitions and reviews are all common data analyst responsibilities. Apart from that the role includes responsibilities of creating data, collecting, compilation, analyzing, and reporting systems.

Eligibility to Take the Exam 

Individuals who have a minimum of five years of experience and expertise with common data analytics technologies and at least two years of hands-on experience on AWS services to design, build, secure, and maintain analytics solutions are ideal candidates for the exam. The individual should also have a broad understanding of what is AWS data analytic services and how they integrate each other.

 

Exam Pattern 

The AWS Data Analytics Exam is of the duration of 180 minutes and consists of 65 questions out of which 50 questions affect your score, The questions are of two types, Multiple choice and multiple responses

The Exam Has the Following Content Domains and Weightings:

  • Domain 1: Collection (18% of scored content) 
  • Domain 2: Storage and Data Management (22% of scored content) 
  • Domain 3: Processing (24% of scored content) 
  • Domain 4: Analysis and Visualization (18% of scored content) 
  • Domain 5: Security (18% of scored content) 

Your results for the examination should be 750 and from 100–1,000, 

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Checklist Topics Before Taking the Exam 

When Attending the Exam Make Sure You Have a Comfortable Knowledge of the Following Topics 

  • EMR
  • Redshift and Redshift Spectrum
  • Kinesis Data Streams, Kinesis Firehose, and Kinesis Analytics.
  • S3+Glue+Athena
  • Amazon MSK
  • Simple Queue Service (SQS)
  • AWS Database Migration Service (DMS)
  • Simple Storage Service (S3)
  • DynamoDB
  • AWS Lambda
  • MapReduce
  • Amazon Elasticsearch Service
  • Relational Database Service (RDS)
  • Quicksigh

Which Professionals Should Be Attending the Exam 

Data Analysts and Data Scientists

Professionals who are already experienced in the field can reaffirm their existing knowledge and expand their expertise horizon to new levels by building complex data models using the latest AWS tools. They will also benefit from the research and can upskill themselves with the certification, they can also learn new extensions applications, and tools to modernize their existing data approach. 

Database Administrators 

AWS Data Analytics certification can assist Data Administrators in the comprehension of data and infrastructure concepts and can get a clearer understanding of which can lead to beneficial practice decision-making.

Solutions Architects  

The AWS data analytics certification can help them become subject matter experts in analytics solutions help to model approaches and acquire the knowledge to improve the data environment using the AWS.

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Top 9 AWS Data Analytics Certification Courses

 

1. IIM SKILLS

IIM SKILLS is yet another reputed institution that offers a quality six-month data analytics course with a 2-month internship. The course contains 160 hours. 7 hours of live projects and 10 case studies all while mastering 7 tools. They have a wide range of skill development and professional courses.

The Data Analytics Course is one of their highly recommended course globally. They have the most efficiently trained and experienced team of mentors who are experts in their industry domain.

 

All the courses with IIM SKILLS are online which offers flexible learning opportunities which makes them the most recommended and highly rated online learning platform.

They also offer internship and job placements which enhances the learnings and gives professional experience. They have the best-designed curriculum which is upgraded on a regular basis to be in sync with the market trends.


Also Read: IIM SKILLS Data Analytics Course Review

The Core Module Content is as Follows 

  • Data Analytics Using Advanced Excel (9 Hours)
  • Data Analytics Using VBA (15 Hours)
  • Data Analytics Using SQL (39 Hours)
  • Data Analytics Using Power BI (24 Hours)
  • Data Analytics Using Python-1(10 Hours)
  • Data Analytics Using Python-2 (10 Hours)
  • Data Analytics Using Tableau (15 Hours)
  • R For Data Science (20 Hours)
  • Data Analytics Using Alteryx (18 hours) 

 

Course Fees: Rs. 49,990 + GST

What You Will Learn:

  • Know about statistical concepts such as central tendency, correlation, dispersion, and regression. – Excel at SQL concepts like SQL command, and query universal tool.
  • Master the concepts of Python including nuances of lists, sets, contributions, branching, dictionaries, objects, and classes
  • Learn to create Python programs using concepts of variables, conditions, loops, functions, etc.
  • Get hands-on data in Python constituting reading and writing files, working, loading, and saving data with Pandas.
  • Grasp sound knowledge of data interpretation in Python by using multi-dimensional arrays in NumPy, managing Data Frames in Pandas, and implementing machine learning using scikit- -learn.
  • Understand Data Analytics performance using Python libraries.
  • Have a strong hold over knowledge of linear and non-linear regression models and classification techniques for the Data Analysis work process.
  • Acquire competence in using clustering methods including K-means, DBSCAN, and hierarchical clustering.
  • Become proficient at business analytics using Excel.
  • Get familiar with Microsoft analytics and visualization tools (Power BI)
  • Gain insights about the Tableau model and statistics and learn to build interactive dashboards.
  • Get hold of expertise in visualization techniques like a heat map, treemap, waterfall, Pareto, and Market basket analysis.

 

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2. Plural Sight

PluralSighnt is yet another course that leads you to AWS data analytics Certification. It will teach you how to evaluate business requirements for big data applications, and then how to build, secure, maintain, and design data analytics solutions in the AWS cloud. Through the course, you will 

 Understand the Purpose and Use Cases of Amazon Elasticsearch Service, Cases of Amazon Kinesis Data Analytics, Cases of Amazon Athena, Cases of Amazon Redshift, Cases of Amazon Quicksight, common visualization best practices and tools, AWS IAM, VPC, and its purpose, Amazon Key Management Service Essentials and to Apply data governance and compliance controls.

A diverse range of learning modalities is available, incorporating written guides, video content, and practical labs. Additionally, certain certification courses feature a Practice Exam, providing a comprehensive and interactive learning experience. 

It Contains the Following  6 Courses With a Duration of 11 Hours 

  • Collecting Data on AWS
  • Storing Data on AWS
  • Processing Data on AWS
  • Analyzing Data on AWS
  • Visualizing Data on AWS
  • Securing Data Analytics Pipelines on AWS

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3. Whizlabs 

AWS Certified Data Analytics Specialty Specialization is intended for the candidates performing a Data Analytics focused role. This specialization is designed to equip learners with the skills and knowledge needed to effectively utilize AWS services for the entire process of designing, constructing, securing, and sustaining analytics solutions.

This specialization is crafted to impart learners with the essential technical skills required for various job roles in the field of Data Analytics.

The Whizlabs is yet another option that offers quality AWS data analytics certification Training, that prepares learners for designing, building, securing, and maintaining analytics solutions to provide insight from data.

This Specialization is specially designed to teach learners the technical skills related to Data Analytics job roles. The course duration is 1 month, 10 hours per week.

 Listed Below Are the Course Contents 

Course 1. AWS: Data Collection Systems

Course 2. AWS: Storage Systems and Data Management

Course 3. AWS: Data Processing

Course 4. AWS: Data Analysis and Visualization

Course 5. AWS: Security in Data Analytic

 

 All five courses are further divided into modules, Lessons, and Video Items. Each course within this specialization incorporates both Practice Quizzes and Graded Quizzes, serving as assessments to evaluate the candidate’s comprehension of the concepts covered. Additionally, learners will benefit from Lab Demonstrations corresponding to the topics discussed in the courses.

These demonstrations provide a visual and practical understanding of the content. To reinforce their learning, participants will have the valuable opportunity to engage in hands-on practice labs directly on their AWS Console. 

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4. Udemy

The extensive Udemy course, spanning 9.5 hours and featuring 80 lectures, offers a comprehensive learning experience covering various facets of Big Data, Data Analytics, and AWS. Throughout the course, participants will:

  • Gain insights into the collection, storage, processing, and management of Big Data.
  • Develop a profound understanding of Data Analytics and AWS architectures, preparing for certification exams.
  • Explore Big Data analysis and visualization techniques.
  • Dive into the intricacies of Big Data security.
  • Acquire knowledge of Data Science concepts and their practical implementation.
  • Master AWS Machine Learning tools and services to become an expert in the field.
  • Elevate your career prospects by achieving AWS certification.
  • Learn to make unstructured data queryable using AWS Glue, AWS Athena, and AWS QuickSight.
  • Understand the Extract, Load, Transform (ETL) technique for data transformation.
  • Process data at an extensive scale with Elastic MapReduce.
  • Optimize transactional queries using DynamoDB.
  • Queue messages efficiently with Simple Queue Service (SQS).
  • Apply advanced machine learning algorithms at scale using Amazon SageMaker.
  • Ensure data security through encryption, Key Management Service (KMS), Hardware Security Modules (HSM), Identity and Access Management (IAM), Cognito, Security Token Service (STS), and more.
  • Explore AWS Rekognition with Python for advanced image and video analysis.

This comprehensive course provides a robust foundation for individuals looking to excel in Big Data, Data Analytics, and AWS, offering both theoretical knowledge and practical skills for real-world applications.

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5. Cloud Academy

Cloud Academy is yet another platform that offers an advanced AWS data analytics certification course that has a duration of 42 hours. 

The Course Content Objective is to 

  •  Define AWS data analytics services and understand how they integrate with each other.
  • Explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and
  • visualization.

 

Training Content

  • AWS Certified Data Analytics – Specialty: Introduction
  • Data Analytic Concepts AWS Databases are used with Data Analytics 
  • Getting Started with Amazon Redshift Loading Data into Amazon RedshiftAmazon Redshift Resize Operations 
  • Amazon Redshift Concurrency Scaling 
  • Amazon Redshift Distribution Styles Configuring
  •  Distribution Styles and Table Access in Amazon Redshift,
  •  Introduction to DynamoDB Using Amazon Dynamo 
  • DB Accelerator (DAX) to Enhance Performance, 
  • Introduction to Amazon Elastic Map Reduce (EMR)
  • Getting Started with Amazon Elastic MapReduce
  • Understanding Data Lakes in AWS 
  • Understanding Data File Formats 
  • Introduction to Amazon S3
  • Using Amazon S3 Bucket Properties & Management Features to Maintain  
  • Understanding S3 Encryption Mechanisms to Secure Your Data
  • Amazon S3 Security and Access Challenge
  • Analyzing Data with Amazon Athena 
  • Efficiently Storing Data in S3 for Data Analytics Solutions
  • Query Encrypted Amazon S3 Data with Amazon Athena
  • Amazon Athena Playground (COVID-19 Data) 
  • Implementing a Searchable Amazon S3 Data Lake 
  • Understanding AWS Lambda to Run and Scale Your Code 
  • Knowledge Check: Understanding AWS Lambda
  • Introduction to AWS Lambda 
  • AWS Step Functions 
  • Introduction to AWS Step Functions 
  • Developing Serverless ETL with AWS Glue 
  • A Conversation about AWS Glue 
  • Data Visualization: How to Convey Your Data 
  • AWS – Data Visualization 
  • Visualizing Data in Amazon QuickSight 
  • Fundamentals of Amazon MSK (Amazon Managed Streaming for Apache Kafka) 
  • Aggregating Data with Amazon Managed Streaming for Apache Kafka (MSK)
  • Overview of Amazon Kinesis 
  • Amazon Kinesis Data Streams Part 1 
  • Amazon Kinesis Data Streams Part 2 
  • Processing Streaming Metadata using Amazon Kinesis Data Streams 
  • Working with Amazon Kinesis Analytics 
  • Sessionizing Clickstream Data with Amazon Kinesis and Managed Apache FlinkCollecting Log Data with Kinesis Agent and Querying with Amazon Athena 
  • Designing Secure Applications and Architectures
  • The Fundamentals of the AWS Key Management Service (KMS)
  • Securing Access to Your AWS KMS Keys
  • Using Amazon Key Management Service to Encrypt S3 and EBS Data
  • Webinar | Increase Big Data Application Throughput and Save up to 90% on Compute Costs
  • AWS Data Analytics Processing Challenge
  • Cert Prep: AWS Data Analytics – Specialty Certification 

 

6. Coursera

Coursera offers this Beginner-level course for AWS Data Analytics Certification Course with a duration of 3 hours. In the course, you will learn different types of data analyses – descriptive, diagnostic, predictive, and prescriptive, how to perform descriptive data analytics in the cloud with typical data sets and how to build simple visualizations in AWS QuickSight to do descriptive analytics (using S3, Cloudtrail, Athena).

The 10 Video Content is as Follows

  • Welcome to Getting Started with Data Analytics on AWS
  • What is Data Analytics?
  • Most Common Data Analysis Nowadays
  • Why do Data Analytics in the Cloud?
  • Popular AWS Services Used for Analytics Solutions
  • Building a Simple AWS CloudTrail Data Analytics Solution (Part 1)
  • Building a Simple AWS CloudTrail Data Analytics Solution (Part 2)
  • Building a Simple AWS CloudTrail Data Analytics Solution (Part 3)
  • What Else can you do with Data Analytics?
  • Course Wrap-Up

 

7. Eureka  

This AWS solutions architect certification course will help you identify the appropriate Amazon Web Services, including databases, network, storage, cost optimization, computing, and security requirements.

The course prepares you to  Designing Identity Solutions, Managing Security, Designing Data Storage Solutions, Monitoring Cloud Solutions, Designing Resilient AWS Solutions and AWS Cloud Cost Optimization

The Course Content Includes 

  • Introduction to AWS
  • Identity and Access Management in AWS
  • Amazon EC2
  • AWS Storage Options
  • Networking using AWS
  • Load Balancing, Auto Scaling, and Routing using AWS
  • AWS Database Services
  • Security Management in AWS
  • Monitoring Resources and Governance in AWS
  • Application Services, Serverless Computing, and Provisioning Infrastructure
  • Cloud Analytics and Cost Management on AWS
  • AWS Architectural Designs – I
  • AWS Architectural Designs – II 
  • Migrating to Cloud 
  • Containers in AWS 
  • AWS Machine Learning 

 

8. Udemy 

Udemy offers the Practise exam contains 100 questions, mimics the actual, and the latest AWS Data Analytics Certification Specialty exam to help you pass and even ace the AWS exam! They also provide detailed explanations for all answers.

These AWS Data Analytics Specialty practice exams are designed to focus on important exam domains such as Processing and Storage and Data Management, hence, the aforementioned topics have more questions than the other domains/knowledge areas. 

The Question Sets for the AWS Data Analytics Certification Course in Udemy Are Divided as Follows 

AWS Certified Data Analytics Specialty Diagnostic Test – 10 questions

AWS Certified Data Analytics Specialty Full Test – 65 questions

AWS Certified Data Analytics Specialty Bonus Test – 25 questions

 

9. Simplilearn

The course is developed by industry leaders. It is one of the best courses that can lead you to the AWS Data Analytics Certification Training Course and gets you prepared for WS QuickSight, AWS lambda and Glue, S3 and DynamoDB, Redshift, Hive on EMR, and other interesting tools.

Through this course, you will become familiar with cloud computing and deployment models such as AWS cloud platform  Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms, and many more.

The course offers 44 Hours of blended learning, 24*7 mentor support, dedicated mentoring sessions from industry experts, flexibility to choose classes, and Real-life industry-based projects.

Section 1

  • Lesson 01: Introduction
  • Lesson 02: Domain 01 – Collection
  • Lesson 03: Domain 02 – Storage
  • Lesson 04: Domain 03 – Processing
  • Lesson 05: Domain 04 – Analysis
  • Lesson 06: Domain 05 – Visualization
  • Lesson 07: Domain 06 – Security
  • Lesson 08: Everything Else
  • Lesson 09: Preparing for the Exam
  • Lesson 10: Appendix – Machine Learning Topics for the Amazon Web Services AWS Certified Big Data Exam
  • Lesson 11: Wrapping Up

Section 2 – Live Virtual Class Curriculum

  • Practice Projects

 

FAQs

Q. What is the salary for an AWS Certified data analyst? 

 In India, an AWS Certified data analyst can expect a salary range from 1.5 Lakhs to 8.5 lakhs which constitutes an annual salary of 5.1 lakh per annum 

Q. What are the major topics that the AWS certification exam covers?

  •  Architecture patterns and design principles
  • Concepts and AWS services for the five domains of analytics
  •  Data movement integrations between services
  •  Data access integration between services
  •  Common analytical query scenarios
  •  Managing, scaling, and updating applications
  •  Data partitioning and distribution strategies
  •  Security and Compliance
  • Monitoring and troubleshooting Analytics workloads
  •  Amazon S3

Q. How do I Register for the Aws Certification Exam?

To register for an AWS Certification Exam, begin by logging in to the AWS Training and Certification portal and navigate to the Certification section in the top navigation. Click on the “AWS Certification Account” button, and then select “Schedule New Exam.” Locate the specific exam you intend to take and click on the “Schedule at Pearson VUE” button. This action will redirect you to the scheduling page of the test delivery provider, where you can finalize your exam registration. Follow the provided steps on the scheduling page to complete the registration process, ensuring a smooth and efficient experience as you prepare for your AWS Certification Exam. 

Q. What are the Benefits of Securing an AWS Certification in Data Analyst?

Apart from upskilling and gaining technical knowledge, The certification is proof that you are an expert in your field and this can facilitate to secure of high-paying jobs at reputed organizations. You also get a chance to showcase your AWS certification achievement with digital badges on your social media and email signatures and to gain immediate access to exclusive AWS-sponsored certification events. You also gain access to our AWS Certified community on Influitive and network with your peers.

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