Course information

AWS Data Analytics Fundamentals​ Training Course Outline

Module 1: Introduction to Data Analysis Solutions

  • Data Analytics and Data Analysis Concepts
  • Introduction to the Challenges of Data Analytics

Module 2: Volume – Data Storage

  • Amazon S3
  • Data Lakes
  • Data Storage Methods

Module 3: Velocity – Data Processing

  • Data Processing Methods
  • Batch Data Processing
  • Stream Data Processing

Module 4: Variety – Data Structure and Types

  • Source Data Storage
  • Structured Data Stores
  • Semistructured and Unstructured Data Stores

Module 5: Veracity – Cleansing and Transformation

  • Understanding Data Integrity
  • Understanding Database Consistency
  • Introduction to the ETL Process

Module 6: Value – Reporting and Business Intelligence

  • Analysing Data
  • Visualising Data

Module 7: Key Takeaways

  • Putting the Pieces Together

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Who should attend this AWS Data Analytics Fundamentals Training Course?

The AWS Data Analytics Fundamentals Training Course is designed for individuals interested in gaining a foundational understanding of data analytics using Amazon Web Services. The following professionals can greatly benefit from attending this course:

  • Data Analysts
  • Data Engineers
  • Database Administrators
  • Data Scientists
  • IT Professionals
  • System Administrators
  • Solution Architects

Prerequisites of the AWS Data Analytics Fundamentals Training Course

There are no formal prerequisites for this AWS Data Analytics Fundamentals Course. However, familiarity with database concepts and AWS Database Services can be beneficial for the delegates.

AWS Data Analytics Fundamentals​ Training Course Overview

Data analytics is the process of analysing raw data to find trends and make conclusions from that information. It is a broad term that refers to various data analysis techniques to get a clear picture of the current status and plan future activities according to that. Studying Data Analytics Fundamentals Training course helps learners to plan the data analysis solutions effectively. It helps organisations use tools and techniques to make the best decisions to analyse data for better success. It assists individuals to use AWS services for collecting, processing, analysing, and presenting the data. Pursuing this training will help individuals to gain the required knowledge, skills, and experience to enhance their career prospects.

This 1-day Data Analytics Fundamentals Training covers all the essential topics by which delegates will become fully familiar with the data analytics. During this training, they will learn about the different types of structures and types of data analysis. They will also learn about stream data processing, data storage methods, different data stores, understanding database consistency, visualising data, and many more. Our highly professional trainer with years of experience in teaching such courses will conduct this training and help delegates to gain a comprehensive understanding of data analytics.

This training will cover various essential topics, such as:      

  • Data lakes
  • Batch data processing
  • Visualising data
  • Understanding database consistency
  • Introduction to the challenges of data analytics

After attending the Data Analytics Fundamentals Training course, delegates will be able to overcome data analytics challenges. They will also be able to apply the ETL process for data analytics effectively. Delegates will become proficient in collecting, processing, analysing, and presenting their data.

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What’s included in this AWS Data Analytics Fundamentals Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Data Analytics Fundamentals Certificate
  • Digital Delegate Pack

Why choose us

Our Hong Kong venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Hong Kong is an autonomous territory of the People’s Republic of China and can be located on the southern coast of China. Hong Kong has a population of around 7 million people. The education system in Hong Kong is mostly based around the English system and it is overseen by the Education Bureau and the Social Welfare Department. One of the earliest schools in Hong Kong was Li Ying College established in 1075. The education level begins with preschool education that is payable education, paid by pupil’s parents. The primary and secondary education is mandatory for every child in Hong Kong to attend from the age of 6 to 18. Higher education remains exclusive in Hong Kong and adult education is a growing sector in Hong Kong, with two non-profit school running evening courses. The University of Hong Kong was founded in 1911 and is the oldest tertiary (higher education) institution in Hong Kong and is organised into 10 academic faculties with English as the main language of instruction. The Education Bureau in Hong Kong also provides educational services for immigrant children from mainland China and other countries. Hong Kong also has 175 internal schools.

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Address

62/F & 66/F
The Center
99 Queens Road
Central
Hong Kong

T: +852 2592 5349

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led AWS Data Analytics Fundamentals | AWS Training in Hong Kong. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's AWS Data Analytics Fundamentals | AWS Training in Hong Kong, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

AWS Data Analytics Fundamentals | AWS Training in Hong Kong FAQs

Data analytics is the process of examining, transforming, and interpreting data to uncover meaningful insights, trends, and patterns, enabling informed decision-making and strategic planning in various fields and industries.
AWS data analytics services include Amazon Redshift for data warehousing, Amazon Athena for serverless querying, Amazon EMR for big data processing, Amazon Kinesis for real-time data streaming, and Amazon QuickSight for business intelligence and visualisation.
Amazon Athena helps with data analysis by allowing users to run SQL queries directly on data stored in Amazon S3 without the need for complex data loading processes. It provides a serverless architecture, enabling quick insights and cost-effective data exploration.
The prerequisites for the Amazon Virtual Private Cloud (VPC) Training include a basic understanding of cloud computing concepts, familiarity with AWS services, and foundational knowledge of networking principles, which will enhance the learning experience.
This Amazon Virtual Private Cloud (VPC) Training course is suitable for IT professionals, cloud architects, network engineers, and anyone involved in cloud infrastructure management seeking to enhance their skills in designing and managing secure VPC environments.
The benefits of AWS data analytics include scalable infrastructure, cost-effectiveness, access to advanced analytics tools, improved data security, real-time insights, and the ability to handle vast amounts of data efficiently, facilitating data-driven decision-making.
The benefits of AWS data analytics include scalable infrastructure, cost-effectiveness, access to advanced analytics tools, improved data security, real-time insights, and the ability to handle vast amounts of data efficiently, facilitating data-driven decision-making.
Challenges of data analytics include data quality and consistency issues, managing large volumes of data, ensuring data security and privacy, integrating diverse data sources, and the need for skilled personnel to interpret complex results effectively.
The types of data analysis include descriptive analysis, which summarises past data; diagnostic analysis, which identifies causes of trends; predictive analysis, which forecasts future outcomes; and prescriptive analysis, which recommends actions based on data insights.
During the Data Analytics Fundamentals Training course, you will learn essential data analytics concepts, explore AWS analytics services, understand data processing and visualisation techniques, and gain practical skills to analyse and interpret data effectively.
You should receive the confirmation details for the Copywriting Course within 24-48 hours after registration. If you haven't received it by then, please check your spam folder or contact our support team for assistance.
Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.
In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
To attend the AWS Data Analytics Fundamentals Certification, delegates should have foundational skills in data analysis concepts, basic knowledge of AWS services, and familiarity with data management principles, facilitating effective understanding throughout the c
Yes, industries such as finance, healthcare, retail, and technology, along with job roles like data analyst, business intelligence analyst, and data engineer, can particularly benefit from AWS Data Analytics Fundamentals Certification, enhancing their data-driven decision-making capabilities.
Yes, the AWS Data Analytics Fundamentals Certification is suitable for individuals at various career stages, including beginners and experienced professionals, as it covers essential concepts and techniques applicable to diverse roles in data analytics.
Prior experience is not mandatory to take the AWS Data Analytics Fundamentals Training Course; however, a basic understanding of data analytics concepts and familiarity with cloud computing can enhance your learning experience and comprehension.
The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.
Yes, we provide corporate training for this course, tailored to fit your organisation’s requirements.
If you are unable to access your AWS Data Analytics Fundamentals, contact the support team at The Knowledge Academy via their customer service email or phone number provided on their website for prompt assistance and resolution of your issue.
Yes, the AWS Data Analytics Fundamentals Training Course includes practical components and hands-on activities, allowing delegates to apply concepts in real-world scenarios and gain valuable experience in using AWS analytics services effectively.
The Knowledge Academy in Hong Kong stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.
The training fees for AWS Data Analytics Fundamentalsin Hong Kong starts from HKD13995
The Knowledge Academy is the Leading global training provider for AWS Data Analytics Fundamentals.
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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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