Data Science Bootcamp

Short Course / 15 weeks

Note: A collaboration with Algoritma
Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Trainer Profile
Certification
Course Fees

Course Information

An Enabler for a Career in Data Science


About Partner

A leading data science training academy in Jakarta. Algoritma is founded with the vision of democratizing data science skills and equip every professional with a set of core skills across the various domains of data visualization, regression, data modeling, machine learning, and statistical programming literacy.

Data Visualisation

A fun, hands-on, and project-based specialization that help students gain full proficiency in data visualization systems and tools. Students will be taught on creating compelling narratives by combining charting elements with custom aesthetics.

The course’s capstone project requires the students to build real-world applications under stringent criteria modelled after real business scenarios.

Machine Learning

A careful combination of statistical theory, hands-on coding and programming exercises to help students understand and implement some of the most widely used and fundamental, machine learning algorithms. By building regressors and classifier algorithms from scratch, the students will go beyond applying machine learning models to actually developing their own models — and learn the right approach to fine-tuning the model performance as well as evaluating model fit against unseen data. Upon completion of the workshop, the students will be well versed in an array of important, versatile machine learning algorithms and equipped with the right knowledge to apply them to future datasets in their daily job.

The trainers for this course are:

Mr Terence Choo

Terence is a senior lecturer in the School of InfoComm Technology at NP. He has been section head of the mathematics cluster and has taught computing mathematics, discrete mathematics, statistics, maths for games and programming. Convinced of the impact of data analytics, he attended training in data analytics to enrich his existing knowledge. With his 22 years of teaching experience and strong passion to teach & learn, he will continue to further his skills in this area and share them in this bootcamp.

Mr Wesley Teo

Wesley is a lecturer in the School of Infocomm Technology at Ngee Ann Polytechnic (NP). Prior to joining NP, he has worked in various industries, dealing with defense systems, enterprise applications, web and mobile applications. Wesley is currently training learners in the domain of programming, SCRUM, Android development and data science.

Ms Charis Tang

Charis is a lecturer in the School of Infocomm Technology at NP and has taught computing math, statistics, and programming. She has bridged these two areas by being trained in data analytics and continues to further her skills in this area.

Learning Outcomes

This course aims to develop full stack capability with emphasis on employability in Data Science. The bootcamp seeks to develop highly employable data science skills that is much sought after by the industry. Participants will be trained in 2 areas of specialisation: Data Visualisation and Machine Learning.

 

Course 
Schedule

Monday, 6:30 pm to 10:00 pm
Tuesday, 6:30 pm to 10:00 pm
Wednesday, 6:30 pm to 10:00 pm
Thursday, 6:30 pm to 10:00 pm

Application: 8 Jul to 6 Sep 2020
Course Date: 5 Oct 2020 to 22 Jan 2021
15 weeks part -time comprising of:

  • 10 weeks of 4 evening classes per week (Mon-Thu/6.30pm to 10pm)
  • 4 weeks of self-paced capstone project preparation (consultation once per week
  • 1 demo day (evening)

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

This course consists of 2 modules:

Data Visualisation Specialisation

Programming for Data Science
– Data Science in R
– Data Manipulation

Practical Statistics
– Descriptive Statistics
– Inferential Statistics

Data Visualization in R
– Plotting Essentials
– Richer Visualization Techniques

Interactive Plotting & Web Dashboard
– Interactive Visualization
– Web Dashboard Development

Data Visualization Capstone Project

Machine Learning Specialisation

Regression Models 1 & 2

Classification in Machine Learning 1
-Logistics Regression
– Nearest Neighbours Algorithm

Classification in Machine Learning 2
– Naïve Bayes
– Tree-Based Methods and Ensembles

Unsupervised Machine Learning
– Dimensionality Reduction
– K-Means Clustering

Times Series | and Forecasting Neural Network and Deep Learning Machine Learning Capstone Project

Trainer's Profile

Terence Choo

Terence is a senior lecturer in the School of InfoComm Technology at NP. He has been section head of the mathematics cluster and has taught computing mathematics, discrete mathematics, statistics, maths for games and programming. Convinced of the impact of data analytics, he attended training in data analytics to enrich his existing knowledge. With his 22 years of teaching experience and strong passion to teach & learn, he will continue to further his skills in this area and share them in this bootcamp.

Certification

Certificate of Performance jointly issued by NP and Algoritma to participants who achieve at least 75% attendance and pass assessments.


Course Fees

For Singaporeans and Permanent Residents who qualified for Enhanced Training Support for SMEs, enter SME in the promo code during course application.

Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review.

For more information on other subsidies, please click here

SkillsFuture Credit Funding Available. Terms and Conditions apply.
Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Applicants / Eligibility Fees
Singapore Citizens (SC) below the age of 40 years$1926.00
Singapore Citizens (SC) aged 40 and above$1926.00
Singapore Permanent Residents (PR)$1926.00
Enhanced Training Support for SME Scheme (for SC & SPR)$726.00
Full Fees$6420.00