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.
| Step 1
| 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.
Organisation's HR L&D or equivalent staff can click 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.
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| Step 3
| The Learning Partner will inform you whether you have been successful in enrolment.
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