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Instructor-led Classroom Adult Training in Singapore - Modular Fast Track Skill-Based Trainings

Cloud Computing with R

Cloud computing has become a buzzword in the context of high performance computing. Over the past few years, it has experienced unparalleled growth and has attracted the attention of many researchers across different fields. Cloud computing can be described as scalable, customisable computing service, available for rent, which is maintained by a third-party provider. This course covers how to implement cloud computing using R and R Studio and includes how to deploy EC2 instances, manipulate S3, setup databases.

Course Highlights

  • The benefits of cloud architecture
  • Core cloud-based architectural principles
  • Using R and Rstudio in the cloud
  • Handling databases and S3 storage
  • Automating deployment of EC2 instances

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Course Code: C1000

Course Booking

$298.00 (GST-exclusive)
$318.86(GST-inclusive)

Course Date

Course Time

* Required Fields

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Module 1. Cloud Concepts

  • Business Benefits
  • Technical Benefits
  • Understanding EC2 instance
  • Understanding S3 storage
  • Understanding databases
  • Understanding AMIs

Module2. Setting Up Cccount

  • Signing up AWS
  • Creating a new IAM user
  • Creating a key pair
  • Configuring a security group

Module 3. Installing R and Rstudio in the Cloud

  • Launching an EC2 instance
  • Connecting to EC2 instance via SSH
  • Downloading R and Rstudio
  • Uploading and downloading data from Rstudio
  • Downloading aws.pack package

Module 4. EC2 instances with R

  • Describing ec2 instances
  • Launching, stopping and terminating instances
  • Launching EC2 instances with specific AMI
  • Scheduling launching and shutting down of EC2 instances
  • Scheduling running R scripts in EC2 instances

Module 5. S3 buckets with R

  • Listing buckets and objects
  • Reading and writing files in S3
  • Streaming large s3 object into R
  • Sourcing codes from S3

Module 6. Databases with R

  • Connecting to databases
  • Manipulating data
  • Visualizing data from databases
  • Saving new records into databases

Course Admin

Prerequisite

This is an intermediate course. the following knowledge is assumed

Software Requirement

Please download and install the following software prior to the class

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Finance Analysts
  • Marketers

Trainers

R TrainerDwight Nuwan Fonseka have a degree in Biotechnology (from NUS) ,Advanced diploma in Pharamceutical management (from MDIS) and Masters in Education (from NTU). He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.

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