Getting Started with Data Analytics on AWS from edX

With the explosion of data collection enabled by the internet, mobile applications and transformation into the cloud, effective data analytics is turning into a critical tool in practically every domain – from academia to enterprise.

Start off with an overview of different types of data analysis techniques (descriptive, diagnostic, predictive and prescriptive) before diving deeper into descriptive analysis. Then, apply your knowledge with a guided project that makes use of a simple, but powerful dataset available by default in every AWS account: the logs from AWS CloudTrail. The CloudTrail service enables governance, compliance, operational auditing, and risk auditing of your AWS account. Through the project you’ll also get an introduction to Amazon Athena and Amazon QuickSight. Examples of common data analysis scenarios and benefits of doing analytics in the cloud will be discussed. And, you’ll learn how to build a basic security dashboard as a simple but practical method of applying your newfound data analytics knowledge.

What's inside

Learning objectives

Understand what data analytics means in the modern world and how to do data analytics in the cloud
Explain different types of data analyses – descriptive, diagnostic, predictive, prescriptive
Understand how to do descriptive data analytics in the cloud, with typical data sets

Understand at a very high level different aspects of data analytics – such as ingestion, cleaning, processing, querying, visualization
Build simple visualizations in aws quicksight to do descriptive analytics (using s3, cloudtrail, athena)

Understand what data analytics means in the modern world and how to do data analytics in the cloud
Explain different types of data analyses – descriptive, diagnostic, predictive, prescriptive
Understand how to do descriptive data analytics in the cloud, with typical data sets
Understand at a very high level different aspects of data analytics – such as ingestion, cleaning, processing, querying, visualization
Build simple visualizations in aws quicksight to do descriptive analytics (using s3, cloudtrail, athena)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Strengthens an existing foundation for intermediate learners by examining advanced data analysis methods and techniques

Builds a strong foundation for beginners by explaining core concepts and definitions associated with data analytics

Teaches skills, knowledge, and tools that are highly relevant to industry

Provides access to hands-on labs and interactive materials, enabling practical application of data analytics techniques

Provides a comprehensive study of one aspect of science, math, and technology, offering in-depth exploration of data analytics

Taught by Rafael Lopes, who are recognized for their work in data analytics

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with Data Analytics on AWS with these activities:

Review

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Refresh your knowledge of data analytics, cloud computing, and AWS services to better prepare for this course.

Browse courses on Data Analytics

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Review key concepts of data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics.
Review the basics of cloud computing and its benefits.
Familiarize yourself with AWS services commonly used for data analytics, such as S3, CloudTrail, Athena, and QuickSight.

AWS Tutorial: Getting Started with CloudTrail

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Follow a guided tutorial to set up AWS CloudTrail and understand how to use it for data logging and security monitoring.

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Create an AWS account and set up CloudTrail.
Configure CloudTrail to log events from your AWS account.
Visualize and analyze CloudTrail logs using the AWS Console.

Data Analysis Exercises

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Practice performing descriptive data analysis using AWS Athena by completing a series of exercises.

Browse courses on Data Analytics

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Use Athena to query CloudTrail logs and extract relevant data.
Create visualizations and dashboards to summarize and present the data.
Write SQL queries to perform specific data analysis tasks.

Four other activities

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Security Dashboard

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Create a basic security dashboard using AWS QuickSight to monitor and analyze security events from your AWS account.

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Use AWS QuickSight to create a dashboard.
Add widgets to the dashboard to display key security metrics.
Configure alerts and notifications based on the data.

AWS Meetup

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Attend an AWS Meetup to connect with other data analytics professionals and learn about the latest trends and best practices.

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Locate and register for an upcoming AWS Meetup in your area.
Attend the Meetup and participate in discussions.
Network with other attendees and exchange knowledge.

Mentor Junior Data Analyst

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Share your knowledge and experience by mentoring a junior data analyst and help them develop their skills in cloud-based data analytics.

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Identify a junior data analyst who could benefit from your guidance.
Set up regular meetings to provide support and guidance.
Share your knowledge of data analytics, AWS services, and best practices.

Contribute to AWS Open Source Projects

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Contribute to open source projects related to data analytics and AWS services to gain practical experience and connect with the community.

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Identify open source projects that align with your interests.
Join the project community and contribute in areas such as code development, documentation, or testing.
Seek feedback and collaborate with other contributors.

Career center

Learners who complete Getting Started with Data Analytics on AWS will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are essential skills for Data Analysts. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts help businesses improve their performance by analyzing data and identifying areas for improvement. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are essential skills for Business Analysts. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Business Analyst

Data Scientist

Data Scientists use data to solve complex problems and develop new products and services. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are essential skills for Data Scientists. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers design, build, and maintain the infrastructure that supports data analytics. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are essential skills for Data Engineers. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are increasingly important skills for Software Engineers. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers are responsible for developing and managing products. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are essential skills for Product Managers. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Product Manager

Marketing Analyst

Marketing Analysts use data to understand customer behavior and develop marketing strategies. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are essential skills for Marketing Analysts. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Marketing Analyst

Financial Analyst

Financial Analysts use data to evaluate investments and make financial recommendations. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are essential skills for Financial Analysts. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of operations. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are essential skills for Operations Research Analysts. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Operations Research Analyst

Risk Analyst

Risk Analysts use data to identify and manage risks. This course provides a foundation in data analytics, including descriptive, diagnostic, predictive, and prescriptive techniques. It also covers data ingestion, cleaning, processing, querying, and visualization, which are essential skills for Risk Analysts. By taking this course, you will gain the knowledge and skills you need to succeed in this role.

See salaries and explore the career path for Risk Analyst