Data Science and Machine Learning (SF)

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Course Code:
TGS-2020503362

Duration:
3 Days

Next Available Course Date:
17 Feb 2025

Delivery Mode:
Instructor-led Training (ILT)

Fees:
$2,125.50

(Before Funding)

Other Available Course Dates:

Feb 17 | Apr 14 | Jun 16 | Aug 18 | Oct 13 | Dec 15

*Note: Please enquire within for available Saturday schedules.

This 3-day instructor-led course provides you with the knowledge to understand the fundamentals of Data Science and Machine Learning, creating simple machine learning implementation in Cloud. Implementing Data Science using R, and build Machine Learning using R packages. Implementing Data Science using Python and building Machine Learning using Python packages.

Course Outline

Lesson 1: Introduction to Data Science & Machine Learning

Introduction to Data Science & Machine Learning

Lesson 2: Simple Machine Learning Implementation in Cloud

Managing Datasets using Azure Machine Learning – Regression
Managing Datasets using Azure Machine Learning- Classification
Building product recommendation Machine Learning System

Lesson 3: Data Science using R

Introduction to R and R Studio
Variable types and data structures
Base graphics system in R

Lesson 4: Machine Learning using R packages

General linear regression in R

Lesson 5: Data Science using Python

Introduction to Python for Data Science
Data Processing with Numpy and Pandas
Data Visualization with Matplotlib

Lesson 6: Machine Learning using Python packages

Machine Learning with Scikit Learn

Course Fee (inclusive of 9% GST)

Criteria	Individual	Company Sponsored (Non-SME)	Company Sponsored (SME)
Full Course Fee	$2,125.50
SG Citizens aged 21 – 39 years old / PRs aged 21 years old and above	$1,150.50	$1,150.50	$760.50
SG Citizens age 40 years old and above	$760.50	$760.50	$760.50

Course Prerequisite
Education Level

Minimum GCE O Levels.
Language: Workplace Literacy and Numeracy Level 5 (WPLN: Speaking, Writing, Listening, Reading, and Numeracy at ESS level 5 or equivalent to Upper Secondary Level of English and Mathematics).

Working Experience

Adequate knowledge of Java
Fundamentals for Android Development
Previous knowledge and experience of any Java programming language is acceptable

Important Notes
All Trainees must take note of the following:

Must attend at least 75% of the course before being eligible to take the assessments.
Dynamic QR Code Attendance Taking:
a. Scan the QR Code that will be displayed by the Trainer on each session. Use your SingPass App to scan and submit your attendance. If you fail to do so, you will be deemed absent from that session.
b. The QR Code is only accessible on:
• Morning Session: between 9.00 am to 1.00 pm.
• Afternoon Session: between 2.00 pm to 6.00 pm.
c. Please take the attendance one at a time as the system can only register you one by one.
Sign daily on the Attendance Sheet as a backup if any technical glitch happens.
Submit Course Evaluation by the end of each module to help us improve the course and your future learning experience with us.

The course completion requirements for this course as follow:

Attended at least 75% of the course.
Declared as competent during the assessments: Written Assessment, Practical Performance.

Who Should Attend?
IT Professionals

Data Scientist and Machine Learning Engineers
Software developers who are seeking knowledge of Data Science and Machine Learning.
Learners coming into the course are mainly looking for vertical career progression or to develop, and deploy machine learning projects.

Why ITEL?

Diverse Range of IT Courses

We offer a diverse range of IT courses tailored to student needs. Our curriculum covers foundational to advanced topics, ensuring comprehensive learning. We stay updated with industry trends to deliver relevant courses.
Skilled & Experienced Instructors

We are proud to have a team of highly skilled and experienced instructors. Our instructors are industry professionals with in-depth knowledge and expertise across various IT domains.
Practical & Hands-on Exercises

Our courses feature hands-on exercises, projects, and simulations to build practical skills. Students gain confidence by applying knowledge to real-world scenarios.

ITEL Learning Systems (S) Pte Ltd. UEN/CPE Registration No.: 200106514H
Validity Period: 24 Apr 2024 to 23 Apr 2026

Course Outline

Why ITEL?

Diverse Range of IT Courses

Skilled & Experienced Instructors

Practical & Hands-on Exercises

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