Data Systems ArchitectureData Management & Analytics
Job Roles
Delivery ManagerProject Manager (Agile)ICT&SS ProfessionalDigital Service ManagerDigital Business AnalystData EngineerSolutions Architect
Overview
Gain a foundation in data analytics. Learn the overview of data and data analytics, data analytics process and project life cycle. Leverage on tools and technology used for data analytics and visualisation as well as machine learning and data visualisation techniques.
Key Takeaways
At the end of this programme, you will be able to:
Apply data analytics techniques using tools through hands-on sessions
Apply data visualisation techniques using tools through hands-on sessions
Gain insights from data using various machine-learning techniques
Who Should Attend
Please refer to the job roles section.
Targeted at data and IT professionals.
Prerequisites
Knowledge of data management and fundamental statistics.
Programme Structure
The programme is conducted virtually and covers the following topics:
Day 1
Big Data and Data Analytics
Tools and Technology
Data Analytics Process
Introduction to Machine Learning – Supervised and Unsupervised Learning
Overview - All about Data
Data concepts
Statistics Primer
Analytics Project Life Cycle (CRISP-DM)
What is going with the data in each data analytics phase?
Model Development, Deployment, Scoring and Refresh
Hands-on Exercise Lab using Orange
Supervised Learning Models
Data Cleaning Concepts/Techniques
Exploratory Data Analysis
Data Preparation
Linear Regression
Model Evaluation R2
Hands-on Exercise Lab using Orange
Logistic Regression (Predicting HDB Prices)
Decision Tree, Random Forest
Model Evaluation
Confusion Matrix, ROC, AUC
Day 2
Visualisation
Visualisation Concepts and Principles
Selecting the Visualisations
Hands-on Exercise Lab using Tableau
Creating Visuals and Dashboards
Unsupervised Learning Models
Clustering Using K-means
Concepts and Method
Application
Hands-on Exercise Lab Using Orange
NLP - Text Analytics
Concepts and Method
Application
Text Pre-processing
Visualisation
Stop Words
Clustering
Text Classification
Hands-on Exercise Lab Using Orange
Fees
Full Fee
Full Programme Fee
S$1900
9% GST on Nett
Programme Fee
S$171
Total Nett Programme
Fee Payable, Incl. GST
S$2071
With effect from 1 Jan 2024
NOTE Funding is available for this programme. Please visit the Learning Partner's website to find out about the updated programme fee funding breakdown, eligibility, terms and conditions.
Apply through your organisation's training request system.
Step 2
Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.
Your organisation will send registration information to the academy.
Organisation's HR L&D or equivalent staff can click here to register through Learning Partner's registration portal.
The HR L&D will need to generate a URL link and send it to the participant to register for the programme under Corporate-Sponsored. The participant must first log in to L3AP using Singpass before clicking on the URL link to complete their registration and declaration. Failure to do so will result in registration under Self-Sponsored.
Please refer to NUS Lifelong Learning Portal (L3AP) guide here.
Step 3
The Learning Partner will inform you whether you have been successful in enrolment.
