AWS Certified Data Analytics Specialty (DAS-C01) Training from Udemy

*The Data Analytics Professional Exam will be discontinued on April 9, 2024 and will be replaced by the AWS Certified Data Engineer - Associate. I also offer a preparatory course for DEA-C01, so if you would like a coupon for the course, please feel free to contact me.

Dive deep into the world of AWS Data Analytics with our comprehensive and meticulously designed "AWS Certified Data Analytics Specialty" course. This course isn’t just about passing an exam; it’s about giving you the foundational knowledge and hands-on skills to leverage AWS's vast data analytics ecosystem efficiently.

Starting from the intricacies of AWS's data storage solutions to real-time analytics, this course encompasses it all. Our tailored modules will guide you through the dynamic landscape of big data, data lakes, and machine learning integrations on AWS. With rich content, we'll delve into the depths of services like Kinesis, Redshift, EMR, and more, ensuring you not only understand their functions but can also design and deploy data solutions.

Our real-world scenarios and projects give you a tangible feel of what AWS data analytics entails in the corporate world. Moreover, our interactive quizzes and tests ensure that you're exam-ready at any time. This course's beauty lies in its versatility: whether you're an analytics veteran aiming to update your skills or a newcomer venturing into the data realm, we cater to all needs.

Additionally, we understand that questions arise and learning can be challenging. That’s why we offer dedicated support throughout your journey, ensuring no query goes unanswered. Dive in now and equip yourself with a potent blend of theory and practice in AWS data analytics, positioning yourself at the forefront of this burgeoning field. Your path to mastering AWS Data Analytics starts here.

What's inside

Learning objectives

Aws data analytics ecosystem: understand the various aws services tailored for data analytics and their ideal use-cases.
Hands-on experience: get practical experience with aws analytics services by working through real-world scenarios and projects.

Exam readiness: equip yourself with the knowledge and confidence to pass the aws certified data analytics specialty examination.
Best practices: learn industry-standard best practices and methodologies for managing and analyzing data on aws. (2) what are the requirements or prerequisites

Aws data analytics ecosystem: understand the various aws services tailored for data analytics and their ideal use-cases.
Hands-on experience: get practical experience with aws analytics services by working through real-world scenarios and projects.
Exam readiness: equip yourself with the knowledge and confidence to pass the aws certified data analytics specialty examination.
Best practices: learn industry-standard best practices and methodologies for managing and analyzing data on aws. (2) what are the requirements or prerequisites

Syllabus

Introduction

Course Material

Learn what AWS is and overview of the exam

1-1.What is AWS

1-2.Overview of the AWS Certification Exam

1-3.Creating an AWS Account

Learn each services appeared on the exam

Overview of Data Pipeline

Domain1 : Collection

Data Type and Data Format

Amazon Kinesis

Kinesis Data Stream (KDS)

[Hands-on] Put Records by Kinesis Data Streams

Kinesis Data Firehose (KDF)

[Hands-on] Converting records by Kinesis Data Firehose

Kinesis Data Analytics (KDA)

[Hands-on]Managed Service for Flink (formerly Kinesis Data Analytics)

Amazon SQS

Amazon Managed Streaming for Apache Kafka

Migration (Snow Family, Transfer Family, DataSync, DMS)

Data Exchange, AppFlow

Domain 2 : Storage and Data Management

Data Type and Storage Services

Amazon S3

AWS Lake Formation

Overview of Database

Relational: Amazon RDS and Amazon Aurora

Data Warehouse: Amazon Redshift

[Hands-on]Redshift Query for S3

NoSQL: Amazon DynamoDB

In-memory: Amazon ElastiCache

Amazon DocumentDB (MongoDB compatibility)

Amazon Neptune

Amazon Timestream

Domain 3 : Processing

ETL Processing

AWS Glue

[Hands-on]Glue Crawler and Athena

AWS Lambda

Amazon EMR

[Hands-on] EMR on EC2, PyPark application

AWS Step Functions

Amazon API Gateway

Amazon AppSync

Domain 4 : Analysis and Visualization

Overview

Amazon Athena

Amazon OpenSearch

Amazon SageMaker

Amazon QuickSight

Domain 5 :Security

AWS IAM

AWS STS

Apache Ranger

AWS KMS

AWS Secrets Manager

AWS Certificate Manager

Data Governance (Macie, GuardDuty, Detective, Artifact)

Amazon CloudWatch

AWS CloudTrail

AWS Config

Chapter 3 : Practice Test

Introduction for Practice Test

Practice Test (50 Questions)

Chapter 4 : Summary

Summary with Bonus Track

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Offers hands-on experience with AWS analytics services through real-world scenarios, providing practical skills applicable in the corporate world

Covers a wide array of AWS services, including Kinesis, Redshift, and EMR, which are essential for designing and deploying data solutions

Includes interactive quizzes and tests, ensuring learners are consistently prepared for the AWS Certified Data Analytics Specialty examination

Teaches industry-standard best practices for managing and analyzing data on AWS, which are crucial for effective data governance

Includes coverage of data migration services like Snow Family and DataSync, which are relevant for organizations moving data to AWS

The Data Analytics Professional Exam will be discontinued on April 9, 2024 and will be replaced by the AWS Certified Data Engineer - Associate

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 AWS Certified Data Analytics Specialty (DAS-C01) Training with these activities:

Review Core AWS Services

Show steps

Solidify your understanding of fundamental AWS services like EC2, S3, and IAM before diving into data analytics specific services.

Show steps

Read the AWS documentation for EC2, S3, and IAM.
Complete a basic tutorial for each service.
Take a practice quiz on AWS fundamentals.

Review 'Amazon Web Services in Action, Second Edition'

Show steps

Gain a broader understanding of the AWS ecosystem and how data analytics services fit within it.

View Amazon Web Services in Action, Third Edition:... on Amazon

Show steps

Read the chapters related to storage, processing, and analytics.
Take notes on key concepts and services.
Consider how these services can be used in data analytics projects.

Review 'Data Science on AWS, 2nd Edition'

Show steps

Gain a deeper understanding of how to apply AWS services to real-world data science problems.

View Generative AI on AWS: Building Context-Aware... on Amazon

Show steps

Read the chapters relevant to the course syllabus.
Try out the code examples provided in the book.
Reflect on how the book's content relates to the course material.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Practice SQL Queries for Redshift

Show steps

Improve your ability to extract insights from data stored in Redshift by practicing SQL queries.

Show steps

Find a dataset suitable for Redshift.
Load the dataset into a Redshift cluster.
Write SQL queries to answer specific questions about the data.
Optimize the queries for performance.

Build a Data Pipeline with Kinesis and Redshift

Show steps

Reinforce your understanding of data ingestion and warehousing by building a complete data pipeline.

Show steps

Set up a Kinesis Data Stream to ingest data.
Configure Kinesis Data Firehose to deliver data to S3.
Create a Redshift cluster and load data from S3.
Query the data in Redshift to gain insights.

Write a Blog Post on AWS Data Analytics Best Practices

Show steps

Solidify your knowledge by explaining key concepts and best practices in a clear and concise manner.

Show steps

Choose a specific topic related to AWS data analytics.
Research the topic thoroughly using AWS documentation and other resources.
Write a blog post explaining the topic and providing practical examples.
Edit and proofread the blog post before publishing it.

Create a Data Visualization Dashboard with QuickSight

Show steps

Develop your data visualization skills by creating an interactive dashboard using QuickSight.

Show steps

Choose a dataset to visualize.
Connect QuickSight to the data source.
Create visualizations to highlight key trends and insights.
Design an interactive dashboard for users to explore the data.

Career center

Learners who complete AWS Certified Data Analytics Specialty (DAS-C01) Training will develop knowledge and skills that may be useful to these careers:

Data Engineer

A data engineer is responsible for designing, building, and maintaining the infrastructure that enables data analysis. This course helps in understanding the crucial components of the AWS data ecosystem. Through hands-on experience, you'll learn to deploy data pipelines using services like Kinesis, Redshift, and EMR, which is directly applicable to a data engineer's work. This course provides a vital foundation in data storage, processing, and management within the AWS environment, covering key areas like ETL, data lakes, and database technologies that data engineers rely on daily. This makes it an ideal course for anyone looking to get started in this field, or for those wishing to improve their skills.

See salaries and explore the career path for Data Engineer

Cloud Data Architect

A cloud data architect designs the overall architecture of data systems in the cloud. This course directly aligns with the responsibilities of a cloud data architect, with its comprehensive overview of AWS data analytics services. By exploring services like Kinesis, Redshift, S3, and EMR, you'll learn how to architect data solutions, from storage to real-time analytics and visualization using technologies like QuickSight. This training equips you with the necessary skills to design scalable, secure, and efficient data systems on AWS. The course's focus on best practices and hands-on projects makes it ideal for those aiming for a role as cloud data architect.

See salaries and explore the career path for Cloud Data Architect

Data Analyst

A data analyst interprets data and generates reports to help inform business decisions. This course provides a foundation for that role. You will explore services like Athena, Redshift, and QuickSight to perform analysis and visualization. Learning how to extract, process, and analyze data on AWS platforms is essential for a data analyst. The hands on exercises offer valuable insight into real-world data scenarios, helping you to produce insightful reports. Therefore, this course is useful for aspiring data analysts who wish to learn how to apply their analytical skills within the AWS ecosystem.

See salaries and explore the career path for Data Analyst

Cloud Solutions Architect

Cloud solutions architects design and implement cloud-based solutions to meet business needs. This course helps them to understand the capabilities of AWS data services. By covering data storage, processing, and analytics solutions using AWS services, you'll have the right knowledge to design and deploy robust data-driven cloud architecture. This course is especially helpful for hands-on experience with real-world projects. This exposure to AWS's vast data analytics ecosystem makes this a relevant course for aspiring cloud solutions architects.

See salaries and explore the career path for Cloud Solutions Architect

Database Administrator

A database administrator manages and maintains databases, ensuring their security, integrity, and availability. This course helps build a basic understanding of these topics within the AWS ecosystem. This course covers AWS database services, including RDS, DynamoDB, and Redshift, which are essential tools for any database administrator. You will learn about data management and storage solutions, which makes this course helpful for those aspiring to become database administrators who plan to work within AWS infrastructure. The course provides foundational knowledge for effectively managing databases in the cloud.

See salaries and explore the career path for Database Administrator

Business Intelligence Developer

A business intelligence developer creates data visualizations and dashboards that help stakeholders to make informed strategic decisions. This course provides a foundation for working with the platforms necessary to do so. This training introduces data analysis and visualization tools like Amazon QuickSight. Understanding how to extract, transform, and load data using services such as AWS Glue and Redshift is valuable to a business intelligence developer. This course may be useful to those interested in this career field, and especially those planning to work with AWS.

See salaries and explore the career path for Business Intelligence Developer

Machine Learning Engineer

A machine learning engineer builds and implements machine learning models. While this course focuses primarily on data analytics, it does introduce machine learning tools like SageMaker. Understanding how to manage and process data using AWS's data services, like EMR and S3, is necessary for machine learning. The course may be useful to aspiring machine learning engineers who need to work with large datasets using AWS. Exposure to various AWS services within this course helps in building a foundation for machine learning workflows.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A data scientist analyzes data to derive insights and develop data-driven solutions. Although this course primarily focuses on data analytics using AWS, it can be useful for data scientists. Experience with AWS services like Redshift, Athena, and EMR, as explored in this course, is valuable in managing and analyzing data for data scientists. Exposure to AWS's data analytics and storage ecosystem may be useful for anyone in this career field. However, bear in mind that this is not a machine learning course, so it may only be a starting point.

See salaries and explore the career path for Data Scientist

Analytics Consultant

An analytics consultant advises organizations on how to use data to improve their business. This course provides foundational knowledge of data services in AWS. This course can increase your understanding of data management and analysis within the AWS ecosystem. While this course may help with your approach to analytics, it is not a central part of a consultant's skills. The tools and concepts are a great starting place for many consultants, so this course, though not directly aligned, may be useful.

See salaries and explore the career path for Analytics Consultant

Solutions Architect

A solutions architect designs and implements technical solutions to business problems. This course can help you gain expertise on AWS data services. While data analytics is only one piece of the puzzle, exposure to AWS services is essential for most solution architects. This course introduces data storage, processing, and analysis using a variety of AWS services. This course is beneficial for this role, but it will not cover all of the aspects needed for a comprehensive understanding. It may be useful to take this course.

See salaries and explore the career path for Solutions Architect

System Administrator

A system administrator is responsible for the maintenance of computer systems. This course may help them to better understand the AWS cloud ecosystem. While this course offers an overview of AWS data analytics services, it is not directly related to the core responsibilities of a system administrator. This course may give system administrators useful insight into the data and analytics side of the cloud. This course may be useful for system administrators interested in expanding their skills, but it is not a core requirement.

See salaries and explore the career path for System Administrator

Project Manager

A project manager is responsible for planning, executing, and closing projects. This course may provide added context as project managers often find themselves working with data related projects. While this course doesn't focus directly on project management, familiarity with data technologies may be useful in managing projects that use them. Project managers work with a variety of technical teams, and this course can give you some additional exposure to a specific sector of the technology field. Therefore it may be helpful.

See salaries and explore the career path for Project Manager

Product Manager

A product manager guides the strategy, roadmap, and execution of a product. While not directly tied to the role, this course may be useful for a product manager working with technology related to data. This course helps product managers that need to understand the data technologies they are working with. A basic understanding of AWS's data services may help you to better guide your team. With these foundations, this course can be helpful, but it is not a primary skill set. Therefore, taking this course may prove useful.

See salaries and explore the career path for Product Manager

Technical Writer

A technical writer creates technical documentation. This course may be useful to a technical writer by helping them to better understand AWS data services. While technical writers don't need to be experts, they do need to understand the concepts behind the technologies they write about. This course may be useful for a technical writer working with AWS data services, particularly through the hands-on components. Therefore, this course may be helpful for technical writers, but it is not a requirement.

See salaries and explore the career path for Technical Writer

Sales Engineer

A sales engineer uses technical knowledge to make sales to clients. This role involves understanding the AWS ecosystem and how to explain it to clients. While this course is more focused on implementation, familiarity with the technology is always beneficial in sales. This course provides the technical background that could be useful for a sales engineer that works with data analytics products in AWS. Therefore, this course may prove to be useful in a supporting role.

See salaries and explore the career path for Sales Engineer

AWS Certified Data Analytics Specialty (DAS-C01) Training

What's inside

Learning objectives

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses