Discover big data and analytics solutions on AWS

Modern organisations require robust analytics frameworks to transform high-velocity datasets into actionable insights. Mapping the 5 Vs of big data to cloud architectures reveals how AWS handles complex data processing demands.

Explore data pipelines using AWS analytics services

Mastering storage, processing, and transportation options prepares practitioners to evaluate ideal AWS analytics solutions. Integrating ETL/ELT workflows and business intelligence tools ensures complete pipeline visibility and validates core skills.

You’ll access learning content and practical activities online through Amazon Web Services (AWS), alongside your FutureLearn course experience, giving you direct access to AWS learning as you progress.

Syllabus

Week 1
Fundamentals of Analytics on AWS – Part 1
- Fundamentals of Analytics on AWS – Part 1
  In this activity, you will learn core analytics, machine learning levels, and the 5 V's of big data while exploring AWS solutions for data storage, transportation, and processing across different environments.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

Explain data analytics, data analysis, analytics types, techniques, and analytics challenges
Describe machine learning (ML), ML on AWS, and different levels of AWS for ML services
Explain the 5 Vs of big data
Explain common ways to store data, challenges, characteristics of source data storage systems, and available AWS solutions
Explain data transportation, options for different environments, and available AWS solutions
Define data processing, options for each type of processing, and available AWS solutions
Identify different types of data structures, types of data storage, and available AWS solutions
Explain where ETL and ELT fits in multiple places of the analytics pipeline, the elements of an ETL and ELT process, and available AWS solutions
Explain the use of business intelligence tools to gain value from analytics, and available AWS solutions

Who is the course for?

This course is ideal for cloud architects, data engineers, data analysts, data scientists, and developers

Who developed the course?

Amazon Web Services (AWS)

AWS is the world’s most comprehensive cloud, enabling organizations to accelerate innovation, reduce costs, and scale more efficiently.

What's included?

Amazon Web Services (AWS) are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get:

Unlimited access to this course

Includes any articles, videos, peer reviews and quizzes

A PDF Certificate of Achievement to prove your success when you’re eligible

Learning on FutureLearn

Your learning, your rules

Courses are split into weeks, activities, and steps to help you keep track of your learning
Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

Experience the power of social learning, and get inspired by an international network of learners
Share ideas with your peers and course educators on every step of the course
Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

As you work through the course, use notifications and the Progress page to guide your learning
Whenever you’re ready, mark each step as complete, you’re in control
Complete 90% of course steps and all of the assessments to earn your certificate

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