Practice exam included! AWS DAS-C01 certification prep course with exercises. Kinesis, EMR, DynamoDB, Redshift and more!

What you’ll learn

Maximize your odds of passing the AWS Certified Data Analytics Specialty exam

Move and transform massive data streams with Kinesis

Store big data with S3 and DynamoDB in a scalable, secure manner

Process big data with AWS Lambda and Glue ETL

Use the Hadoop ecosystem with AWS using Elastic MapReduce

Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning

Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora

Visualize big data in the cloud using AWS QuickSight

Requirements

You must have an AWS account to follow along with the hands-on activities. The services used will cost a few dollars in AWS fees (it costs us $5 USD)

AWS recommends associate-level certification before attempting the AWS Data Analytics exam. It is an advanced and challenging exam.

Description

[v2023: The course has been fully updated for the latest AWS Certified Data Analytics -Specialty DAS-C01 exam, and will be kept up-to-date all of 2023. Optional content for the previous AWS Certified Big Data – Speciality BDS-C01 exam remains as well as an appendix. Happy learning! ]

The AWS Certified Data Analytics Specialty Exam is one of the most challenging certification exams you can take from Amazon. Passing it tells employers in no uncertain terms that your knowledge of big data systems is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the big data technologies on the exam and how they fit together.

he world of data analytics on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:

Streaming massive data with AWS Kinesis

Queuing messages with Simple Queue Service (SQS)

Wrangling the explosion data from the Internet of Things (IOT)

Transitioning from small to big data with the AWS Database Migration Service (DMS)

Storing massive data lakes with the Simple Storage Service (S3)

Optimizing transactional queries with DynamoDB

Tying your big data systems together with AWS Lambda

Making unstructured data query-able with AWS Glue, Glue ETL, Glue DataBrew, Glue Studio, and Lake Formation

Processing data at unlimited scale with Elastic MapReduce, including Apache Spark, Hive, HBase, Presto, Zeppelin, Splunk, and Flume

Applying neural networks at massive scale with Deep Learning, MXNet, and Tensorflow

Applying advanced machine learning algorithms at scale with Amazon SageMaker

Analyzing streaming data in real-time with Kinesis Analytics

Searching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) Service

Querying S3 data lakes with Amazon Athena

Hosting massive-scale data warehouses with Redshift and Redshift Spectrum

Integrating smaller data with your big data, using the Relational Database Service (RDS) and Aurora

Visualizing your data interactively with Quicksight

Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more

Throughout the course, you’ll have lots of opportunities to reinforce your learning with hands-on exercises and quizzes. And when you’re done, this course includes a practice exam that’s very similar to the real exam in difficulty, length, and style – so you’ll know if you’re ready before you invest in taking it. We’ll also arm you with some valuable test-taking tips and strategies along the way.

Data analytics is an advanced certification, and it’s best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.

You want to go into the AWS Certified Data Analytics Specialty Exam with confidence, and that’s what this course delivers. Hit the enroll button, and we’re excited to see you in the course… and ultimately to see you get your certification!

Who this course is for:

Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.