This course is designed to help you master three essential areas of AWS: data visualization, security, and exam preparation. You'll begin with a deep dive into Amazon QuickSight, where you'll learn how to create powerful visualizations and dashboards. The hands-on exercises guide you through setting up QuickSight on top of a Redshift data warehouse, ensuring you gain real-world experience with AWS visualization tools. You’ll also explore other popular visualization options, including HighCharts and D3, helping you understand how to choose the right tools for your data.
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AWS Visualization, Security, and Exam Preparation
This course is part of AWS Certified Data Analytics Specialty (2023) Hands-on Specialization
Instructor: Packt - Course Instructors
Included with
Recommended experience
What you'll learn
Create and customize dashboards using Amazon QuickSight for effective data visualization
Implement AWS security practices, including encryption and key management, to safeguard cloud environments
Configure CloudTrail and VPC endpoints to secure AWS environments and ensure compliance
Integrate AWS services to build robust, secure, and scalable cloud infrastructure
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October 2024
3 assignments
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There are 6 modules in this course
In this module, we will explore the essentials of data visualization in AWS, focusing on Amazon QuickSight. You'll learn how to create insightful dashboards, use ML-powered QuickSight Q, and choose the best visualization types for different datasets. Hands-on exercises will guide you through setting up QuickSight on Redshift and highlight additional tools like HighCharts and D3 for advanced visualizations.
What's included
7 videos2 readings
In this module, we will dive deep into AWS security features, focusing on encryption techniques and key management with services like KMS and CloudHSM. You will learn about securing AWS environments using STS, VPC Endpoints, and CloudTrail for auditing. A three-part deep dive will cover critical security concepts to ensure your data and services are protected from unauthorized access and vulnerabilities.
What's included
13 videos
In this module, we will cover a range of additional AWS tools and integrations that support big data applications. Topics will include AWS AppSync, Amazon Kendra for intelligent search, and EC2 optimization for handling large datasets. You’ll also gain insight into AWS Data Exchange for secure data transfers and explore AppFlow for automating data interactions.
What's included
6 videos1 assignment
In this module, we will focus on helping you prepare for the AWS certification exam with practical tips and strategies. We’ll cover everything from exam signup and walkthrough to cost-saving methods and additional time allowances for non-native English speakers. You’ll also have the opportunity to check your learning progress and ensure you’re fully prepared for the exam day.
What's included
5 videos
In this module, we will introduce key machine learning concepts relevant to AWS Big Data certification. You’ll explore Amazon’s ML services, including SageMaker, and engage in hands-on exercises that cover predictive modeling and data cleaning techniques. These topics will help you understand the role of machine learning in big data and how to apply it in real-world scenarios.
What's included
7 videos1 assignment
In this final module, we will conclude the course by discussing AWS certification paths and offering tips on how to continue building your AWS expertise. You'll receive advice on the next steps in your learning journey, along with a final check to ensure you're ready for the exam.
What's included
2 videos1 reading1 assignment
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.