Data Science Course | Learn AI, ML, Python | Funded | MAGES Institute

About Data Science Course

Data Scientists are a very important part of our business world. MAGES Institute has introduced a 14 week course ‘Applied Data Science with Machine Learning’ for students who want to work in the field of data science. Students will cover the basics of data science from programming languages to data analytics and in the data science course. The second term will focus on building solid skills as students will implement these various programming languages they’ll learn in the python course. Students will integrate all of their knowledge into a Capstone project for the last term. By showcasing their skills here, the students can continue their path with confidence.

Top Rated Data Science Machine Learning Course Singapore

Professional Certificate in Data Science Immersive

Our modern world of business would be lost without the critical work of Data Scientists. That’s why MAGES Institute is proud to introduce our Data Science Program, a 14-week program (or a 24-week part-time curriculum) that paves a pathway for students to work in Data Science across multiple industries.

Our Data Analytics courses utilize the most up-to-date modern technology to teach participants proficiency in solving real-world problems.

The Data Science classes at MAGES Institute are packed full of knowledge and skill-building for a short period of time, allowing participants to change and upgrade their career path rapidly as they take full advantage of the new digital economy.


Duration :6 Months (Full-Time/Part-Time)

Student-to-Lecturer Ratio:15 Students : 1 Lecturer

Medium of Instruction / Mode of Assessment:Lectures & Practical (Hands on Application), Project Based Assessment for All Modules

Award :Professional Certificate in Data Science Immersive

Software Taught:Python, NumPy, Panda, and more

Course Codes Covered under SSG:TGS-2022011073, TGS-2022011217

Instructors

Lim Si Jie

6 Months Program (Part-Time/Full-Time)

Term 1 Fundamentals

In the first term, students will cover the basics of Data Science from programming languages to data analytics and machine learning.

Term 1 : Fundamentals

In the first term, students will cover the basics of Data science from programming languages to data analytics and machine learning. The basics will provide students with a robust background into the possibilities and applications of Data Science disciplines as well as framework to approach its application.

The term will cover the following modules :

  • Data Science Fundamentals
Term 2 Skills

The second term of the program will focus on building solid skills as students implement the various Data Engineering and programming languages

Term 2 : Skills

The second term of the program will focus on building solid skills as students implement the various Data Engineering and programming languages. Data Analytics and Visualization are also applied while students learn data wrangling, data plotting, and types of algorithms used in the industry.

The term will cover the following modules :

  • Data Analytics
  • Data Engineering
  • Data Visualization
Term 3 Portfolio

Students will integrate all of their knowledge and skills including Machine Learning for Data Science into a Capstone Project for the last term of the course.

Term 3 : Portfolio

Students will integrate all of their knowledge and skills including Machine Learning for Data Science into a Capstone Project for the last term of the course. By showcasing their proficiency within their chosen niche, the students can continue their path with confidence and proof of their capabilities.

The term will cover the following modules :

  • Machine Learning for Data Science
  • Capstone Project

Testimonials

Lee Yi Ping

"...quite pleasant journey for me, as I could learn Data Science fundamentals, including Machine Learning Algorithms within a short time..."

Casper Peh

"... the course started with a Foundation section which is very important, coz alot of us did not have any Data Science background, after which they will move on the actual Python itself which is more in-depth."

Topics Covered

  • Data Science Fundamentals
  • Data Analytics
  • Data Engineering
  • Data Visualisation
  • Machine Learning for Data Science
  • Capstone Project

Learning Outcome

  • To extract, transform and load data and use visualization techniques to derive actionable insights to positively influence a desirable outcome
  • To utilize statistical methods in the data driven decision making process
  • To use statistical methods to develop and maintain predictive models
  • To process large amounts of data using big data technologies
  • To leverage BI tools to develop business data processing and visualization pipelines
  • To create predictive models using AI and Machine Learning techniques

Additional Information

Upcoming Intakes

Nov 2022

Entry Requirements

Age : 18 years old or above,

3 GCE ‘O’ Levels incl Minimum of C6 Grade in English

Program Fees

(Incl 7% GST)

Full Program Fee : SGD 7,370.16
Singaporeans Below 21-39Yrs or PR (After Grants) : SGD 4,870.16
Singaporeans 40Yrs and Above (After Grants) : SGD 3,870.16

Grants Available

Subject to Terms & Conditions as Applicable

Certain modules of our Course are covered under SkillsFuture Training Grant, Students are able to utilise SkillsFuture Credits to offset the balance payment.

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