The AWS Data Analytics Fundamentals course is designed to introduce learners to the foundational principles and services involved in analyzing data using the AWS ecosystem. This beginner-friendly training provides participants with the knowledge and skills needed to understand data analytics concepts, explore AWS data services, and begin solving business problems through data insights.

The course covers key areas such as:

• Core Concepts of Data Analytics: Understanding the 5Vs of big data—Volume, Velocity, Variety, Veracity, and Value—and how they impact data analytics.
• Amazon S3 and Data Storage: Learning about scalable storage solutions and the fundamentals of Amazon S3 for storing and organizing data.
• Data Lakes: Exploring the purpose and benefits of building data lakes in AWS for managing large-scale data.
• Data Storage Methods: Understanding structured, semi-structured, and unstructured data formats and the best practices for storing each.
• Data Processing Techniques: Comparing batch processing and stream processing for managing data velocity.
• ETL and Data Cleansing: Gaining insights into Extract, Transform, Load (ETL) pipelines, and how to cleanse data for quality analysis.
• Business Intelligence (BI) and Reporting: Introducing tools and practices for data visualization, reporting, and business decision-making.
• AWS Analytics Services Overview: A broad look at essential AWS services used in the data analytics lifecycle.

By the end of this course, learners will be able to:

• Understand the fundamentals of data analytics and its key challenges
• Explain the use of Amazon S3 and data lakes for large-scale data storage
• Identify and compare data storage methods suited for different types of data
• Distinguish between structured, semi-structured, and unstructured data formats
• Apply concepts of batch and stream processing to real-world data problems
• Understand the basics of ETL processes and data cleansing
• Explore visualization and reporting tools for deriving business insights
• Apply the 5Vs of big data to organize and analyze datasets effectively
• Identify appropriate AWS tools and services for a given analytics scenario
• Build a strong foundation for further learning in AWS data analytics and certification paths

This course offers essential skills for anyone aiming to begin a career in data analytics or enhance their understanding of AWS-powered data solutions.

Course Prerequisites

To ensure success in this course, participants should meet the following prerequisites:

• Basic understanding of IT services and their applications in business
• Familiarity with foundational data processing and storage concepts
• Awareness of data analytics fundamentals and terminology
• Some exposure to databases or data storage systems (recommended but not required)
• Basic knowledge of AWS services, particularly Amazon S3, is a plus
• Interest in learning how to process, store, and analyze large datasets using AWS

These prerequisites are designed to help you engage effectively with the course material. Learners unfamiliar with some topics are encouraged to do some self-study prior to the course.

Target Audience

The AWS Data Analytics Fundamentals course is ideal for individuals seeking to understand AWS-based data analytics workflows and build a strong foundational knowledge, including:

• Data Analysts
• Business Intelligence (BI) Professionals
• Data Engineers
• IT Professionals exploring data roles
• Data Science Enthusiasts
• AWS Cloud Practitioners
• Database Administrators
• Solution Architects
• Graduates pursuing a data analytics career
• Software Developers interested in data processing
• System Administrators working with storage systems
• Product Managers leveraging data insights
• Marketing Analysts focused on data-driven strategies
• Data Consultants working with cloud data tools
• Academic Researchers using data analytics
• Enterprise Architects and Data Managers
• Professionals transitioning into data-focused roles

Why Choose us

⭢ Live Online Training (Duration : 8 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

Enquire About This Course

Learning Objectives

After completing the AWS Data Analytics Fundamentals course, learners will be able to:

• Understand the core principles of data analytics and the challenges posed by large-scale data
• Explain the role of Amazon S3 and data lakes in scalable storage solutions
• Explore and differentiate between various data storage methods
• Apply batch and stream processing models for data handling
• Classify data into structured, semi-structured, and unstructured formats
• Understand the role of data cleansing and ETL in analytics workflows
• Utilize reporting tools to derive business intelligence from raw data
• Apply the concepts of the 5Vs to real-world analytics problems
• Use AWS tools to support foundational data analytics workflows
• Prepare for further advanced training in AWS data analytics solutions