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AWS Data Analytics Certification Training - eLearning
Software & Cloud

AWS Data Analytics Certification Training - eLearning

450,00 EUR

  • 40 hours
eLearning

The AWS Big Data certification training course prepares you for all aspects of hosting big data and performing distributed processing on the AWS platform and is aligned with the AWS Certified Data Analytics - Specialty exam. This course has been developed by industry leaders and aligned with the latest best practices. This training covers Amazon’s AWS cloud platform, Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms, and much more.

Key Features

Language

Course and material are in English

Level

Beginner - Intermediate level

Access

12 months access to the eLearning (self-paced)

14 hours total video content

with 40 hours study time recommended

End Projects

3 hands-on course end project

Official Exam Not Included

But the course are aligned

Certification

AWS Data Analytics Speciality Certification of completion

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Learning Outcomes

When you complete this course, you will be able to accomplish the following:

Utilize Amazon EMR for Big Data Processing

Leverage Amazon EMR to process large datasets using Hadoop ecosystem tools, enabling efficient data analysis and transformation.

Implement Real-Time Data Processing with Amazon Kinesis

Use Amazon Kinesis to ingest and process streaming data in real-time, facilitating timely insights and decision-making

Analyze and Visualize Data Using Amazon QuickSight

Create interactive dashboards and perform ad-hoc queries with Amazon QuickSight, enhancing data-driven storytelling and business intelligence capabilities.

Understand AWS Big Data Storage and Security Services

Gain proficiency in AWS big data storage solutions and implement security best practices to ensure data integrity and compliance.

Prepare for the AWS Certified Data Analytics – Specialty Exam

Develop the knowledge and skills necessary to successfully pass the AWS Certified Data Analytics – Specialty (DAS-C01) exam, validating your expertise in AWS data analytics services

Course timeline

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  1. Introduction

    Lesson 01

    • AWS Setup

  2. Collection

    Lesson 02

    • Amazon Kinesis
    • IoT
    • AWS Database Migration Service
    • AWS Direct Connect
    • AWS Snow Family
    • Amazon MSK: Managed Streaming for Apache Kafka

  3. Storage

    Lesson 03

    • Amazon Simple Storage Service
    • Amazon DynamoDB
    • Amazon ElastiCache

  4. Processing

    Lesson 04

    • AWS Lambda
    • Glue Hive and Extract Transform and Load (ETL)
    • AWS Glue Studio
    • AWS Glue DataBrew
    • AWS Lake Formation
    • Amazon Elastic MapReduce (EMR)
    • Apache Spark
    • Apache Pig and HBase on Amazon Elastic MapReduce (EMR)
    • AWS Data Pipeline

  5. Analysis

    Lesson 05

    • Kinesis Analytics
    • Amazon Elasticsearch
    • Amazon Athena
    • Amazon Redshift
    • Amazon Relational Database Service (RDS) and Aurora

  6. Visualization

    Lesson 06

    • Amazon QuickSight
    • Visualization Types
    • Other Visualization Tools

  7. Security

    Lesson 07

    • Encryption
    • AWS Key Management Service
    • AWS CloudHSM
    • AWS Security Features
    • Identity Federation
    • AWS CloudTrail
    • Virtual Private Cloud (VPC) Endpoints

  8. Everything Else

    Lesson 08

    • AWS Service Integrations
    • Instance Types for Big Data
    • Amazon Elastic Compute Cloud

  9. Exam Preparation

    Lesson 09

    • Exam Tips
    • Exam Walkthrough
AWS data analytics course

Target Audience

The AWS Data Analytics Certification Training is ideal for a wide range of professionals and individuals aiming to build or advance their careers in data analytics and cloud computing. Below are the target audiences:

Data Analysts

Data Engineers

Data Scientists

Cloud Architects and Engineers

System Administrators

Backend Engineers

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Prerequisites

While there is no formal requirement to enroll. The prerequisites to enroll in the AWS Data Analytics Certification Course are designed to ensure participants have a foundational understanding of cloud and data analytics concepts. Here are the key requirements:

Basic Knowledge of Cloud Computing

  • Familiarity with cloud computing concepts, such as virtualization, cloud storage, and networking.
  • Prior experience with AWS services (e.g., EC2, S3) is recommended but not mandatory.

Understanding of Data Analytics Concepts

  • Knowledge of fundamental data analytics principles, including data storage, transformation, and visualization.
  • Experience working with databases, data warehouses, or big data tools is helpful.

Programming Skills

  • Basic proficiency in a programming language, such as Python, Java, or SQL, is advantageous for working with AWS data tools and scripting tasks.

Prior Hands-on Experience

  • Hands-on experience with data analytics, data engineering, or related technologies is beneficial but not required.
  • Familiarity with tools like Hadoop, Spark, or similar data processing frameworks can be helpful.

Statements

Licensing and accreditation

AWS Data Analytics Certification Training is offered by Simplilearn according to Partner Program Agreement and complies with the License Agreement requirements.

Equity Policy

Simplilearn does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.

Frequently Asked Questions

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