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Data Science & AI

Data Science & AI

Overview

Apply Data Science techniques to improve policy making and operations, as well as build relevant AI products and platforms for use across the Whole of Government.

Data Science & AI

 

Analytics for Enterprises

Foundation This 2-day programme provides a hands-on overview of analytics that demonstrates how companies and managers use data visualisation as part of their decision-making process, leading to better business outcomes.

Duration: 2 days
Full Fee: $430
Fee (After max subsidy): Visit training provider's website for details


 

An Introduction to Code-Free Machine Learning

Foundation In this one-day hands-on workshop, participants will learn to create many excellent programmes ranging from training an object detector to building a topic predictor with no code at all.

Duration: 1 day
Full Fee: $270
Fee (After max subsidy): Visit training provider's website for details


Data Analytics for IT Professionals

Foundation This course is designed for IT professionals to better understand data analytics and how to support and manage the technology and data.

Duration: 2 days
Full Fee: $1,900
Fee (After max subsidy): Visit training provider's website for details


Data Analytics Through Visualisation

Intermediate This course aims to equip learners with the ability to present data effectively using various visual techniques through graphical means. In this course, learners will have the opportunity to apply what they have learnt through hands-on practical where they perform data analysis and work on dataset to create dashboard using data visualisation tool.

Duration: 4 days
Full Fee: $550
Fee (After max subsidy): No subsidy


 

Data Engineering on Google Cloud

Intermediate Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show participants how to design data processing systems, build end-to-end data pipelines, analyse data, and implement machine learning. It covers structured, unstructured, and streaming data.

Duration: 4 days
Full Fee: $2400
Fee (After max subsidy): No subsidy


 

Data Literacy e-Primer

Foundation This eprimer allows learners to understand the applications of Data Science and AI, find out how Visual Analytics improve quality of data, understand why the algorithms behind Data Science and AI work they way they do, and how to sharpen problem statements to be solvable through Data Science and AI techniques and applications.

Duration: 0.5 day
Full Fee: Complimentary
Fee (After max subsidy): No subsidy


 

Data Science for Power Users

Intermediate Through this course, learners will demonstrate their competencies in developing a predictive analytics project in teams by applying data privacy and ethical principles in the collection, use and disposal of data.  

Duration: 14 days
Full Fee: S$2,400
Fee (After max subsidy): Visit training provider's website for details


 

Data Science Immersive

Advance Get hands-on with the skills you need to derive value from complex data. Dive into Python,
data analysis, and statistical modelling. Then, branch into machine learning with algorithms
of increasing complexity, from decision trees and random forests to natural language processing and neural networks.

Duration: 12 weeks (full-time) or 24 weeks (part-time)
Full Fee: S$14,650
Fee (After max subsidy): No subsidy


 

Data Storytelling

Foundation The course equips participants with essential skills to draw insights from data, deploy story boards and present their insights using the most effective visual representations. Skills learnt in this course would help place the organisation on the path towards data driven decision making.

Duration: 3 days
Full Fee: S$1,800
Fee (After max subsidy): No subsidy


Data Technology & Management for IT Professionals

Foundation This introductory course has been developed to introduce modern data management technologies to participants. Among the topics to be analysed are the definition of basic data management techniques and technologies, the background of such technologies and the future trends of Data Technology and Management (DTM). 

Duration: 2 days
Full Fee: $1,900
Fee (After max subsidy): Visit training provider's website for details


 

Data Wrangling, Analysis and Visualisation

Foundation Data Wrangling, Analysis and Visualisation are critical skills that are necessary in the handling the challenges in a variety of modern-day data-driven businesses. In today's era of big data where the computer and network are everywhere and business process may be translated to data, data manipulation and visualisation skills are much needed to make insightful decisions. Knowledge in data analysis and visualisation provide one with the necessary skills that form the basis for deeper quantitative reasoning needed for data and predictive analytics work. 

Duration: 3 days
Full Fee: To be confirmed
Fee (After max subsidy): No subsidy


 

From Data to Insights with Google Cloud Platform

Foundation Explore ways to derive insights from data at scale using BigQuery, Google Cloud’s serverless, highly scalable, and cost-effective cloud data warehouse. This course uses lectures, demos, and hands-on labs to teach participants the fundamentals of BigQuery, including how to create a data transformation pipeline, build a BI dashboard, ingest new datasets, and design schemas at scale.

Duration: 3 days
Full Fee: $1800
Fee (After max subsidy): No subsidy


 

From Data to Visualisation

Foundation Through this course, learners will develop competencies in transforming raw data into appropriate format for building interactive and effective visualisations that address diverse needs and expectations of the key stakeholders. Learners will also be competent to perform data exploratory analysis to discover patterns and trends. 

Duration: 3 days
Full Fee: $650
Fee (After max subsidy): Visit training provider's website for details


 

Fundamentals of Data Wrangling, Analysis & Visualisations

Foundation This course will provide participants with a good foundation to conduct data wrangling, perform data analysis, create effective visualisation charts, build interactive dashboards and compose convincing data-driven stories using Microsoft Excel and Tableau to support data-driven business decisions. 

Duration: 4 days
Full Fee: $1140
Fee (After max subsidy): Visit training provider's website for details


 

Google Cloud Big Data and ML Fundamentals

Foundation This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud. 

Duration: 1 day
Full Fee: $680
Fee (After max subsidy): No subsidy


 

Giving a Voice to Your Data - From Spreadsheet to Data Storytelling

Foundation This is an onboarding course in the Data Science & Artificial Intelligence (DSAI) Training Roadmap that focuses on the “data exploitation” aspects of DSAI, such as using data analytics and data visualisation techniques to derive actionable insights.

Duration: 3 days
Full Fee: $630
Fee (After max subsidy): Visit training provider's website for details


 

Introduction to AI and Machine Learning

Foundation This course helps to provide an introduction to the fundamentals of AI and machine learning and how it could impact your work. The course also imparts practical skills on how to apply machine learning without requiring coding.
 

Duration: 1 day
Full Fee: $320
Fee (After max subsidy): Visit training provider's website for details


 

Machine Learning on Google Cloud

Intermediate Learn how to build Vertex AI AutoML models without writing a single line of code, build BigQuery ML models knowing basic SQL and create Vertex AI custom training jobs they can deploy using containers (with little knowledge of Docker).
 

Duration: 4 days
Full Fee: $2400
Fee (After max subsidy): No subsidy


 

Python for Data Analytics & Applied Machine Learning

Intermediate This is a series of 6 courses designed to equip participants with knowledge and skills in data science and AI using a hands-on approach across all courses in the set. 
 

Duration: 10 days
Full Fee: $2825
Fee (After max subsidy): Visit training provider's website for details


 

Responsible AI Principles and Practices

Foundation This course aims to provide participants with the knowledge of responsible AI principles and practices, and its relevance to the different stages of AI model development. This course also look into important topics such as fairness, bias, explainability and vulnerability of AI models. 
 

Duration: 3 days
Full Fee: $1800
Fee (After max subsidy): No subsidy


 

Starting a data science project

Intermediate In this course, you will gain a fundamental understanding of various Data Science techniques by preparing and analysing multiple datasets using Python and performing actual data visualisation using Tableau. You will also improve your overall data literacy, and be guided through the entire Data Science process, from scoping a problem and data preparation to analysis and presentation of findings. 

Duration: 3 days
Full Fee: $1,320
Fee (After max subsidy): No subsidy