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UOP-DSC590.AE1
Data Science Capstone
Expert Self-paced · 1 year access
21 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
6 Interactive Lessons · 73 topics01 History of Analytics and Big Data 9 topics +
- Evolution of Analytics Architecture Over the Years
- The New World Order
- Analytics Pipeline
- The Big Data Reference Architecture
- Data Lakes and their Relevance in Analytics
- Building a Data Lake on AWS
- Using Lake Formation to build a Data Lake on AWS
- Exam Objectives
- References
02 Data Collection 10 topics · 5 LiveLab +
- AWS IoT
- Amazon Kinesis
- AWS Glue
- Amazon SQS
- Amazon Data Migration Service
- AWS Data Pipeline
- Large-Scale Data Transfer Solutions
- Summary
- References
- Exercises & Workshops
5 LiveLab in this lesson — see the labs panel →
03 Data Storage 14 topics · 7 LiveLab +
- Introduction
- Amazon S3
- Amazon S3 Glacier
- Amazon DynamoDB
- Amazon DocumentDB
- Graph Databases and Amazon Neptune
- Storage Gateway
- Amazon EFS
- Amazon FSx for Lustre
- AWS Transfer for SFTP
- Summary
- Exercises
- Further Reading
- References
7 LiveLab in this lesson — see the labs panel →
04 Data Processing and Analysis 13 topics · 3 LiveLab +
- Introduction
- Types of Analytical Workloads
- Amazon Athena
- Amazon EMR
- Amazon Elasticsearch Service
- Amazon Redshift
- Kinesis Data Analytics
- Comparing Batch Processing Services
- Comparing Orchestration Options on AWS
- Summary
- Exam Essentials
- Exercises
- References
3 LiveLab in this lesson — see the labs panel →
05 Data Visualization 11 topics +
- Introduction
- Data Consumers
- Data Visualization Options
- Amazon QuickSight
- Other Visualization Options
- Predictive Analytics
- Summary
- Exam Essentials
- Exercises
- References
- Additional Material
06 Data Security 16 topics · 6 LiveLab +
- Introduction
- Shared Responsibility Model
- Security Services on AWS
- AWS IAM Overview
- Amazon EMR Security
- Amazon S3 Security
- Amazon Athena Security
- Amazon Redshift Security
- Amazon Elasticsearch Security
- Amazon Kinesis Security
- Amazon QuickSight Security
- Amazon DynamoDB Security
- Summary
- Exam Essentials
- Exercises/Workshops
- References and Further Reading
6 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
21 LiveLabs- Creating a Kinesis SQL Application
- Creating a Kinesis Data Stream
- Creating a Kinesis Firehose Delivery Stream
- Using AWS Glue
- Creating an SQS Queue
- Enabling Access Logging for an Amazon S3 Bucket
- Creating an S3 Bucket and Enabling Versioning on it
- Creating a S3 Glacier Storage Using Lifecycle Rules
- Creating a DAX Cluster
- Enabling DynamoDB Streams
- Creating a DynamoDB Table and Writing Data to it
- Creating an Amazon EFS
- Using Amazon Athena
- Creating a VPC Endpoint in Amazon OpenSearch Service
- Creating an Amazon Redshift Cluster
- Creating an IAM Role
- Creating an IAM Group
- Creating an IAM User
- Specifying Server-Side Encryption in S3 with AWS KMS (SSE-KMS)
- Configuring Block Public Access Settings for your S3 Account
- Creating an Encrypted Table in DynamoDB
Labs run in your browser — nothing to install.
02 / FAQs
Questions before you start
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Prepare for Data Science Capstone
One-time payment. Full access for 1 year. Start with a free trial if you want to look around first.
- 1 year of full access
- 21 LiveLab included
- Certificate of completion
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