Overview
This programme aims to provide you with a foundation in:
- an overview of data and data analytics
- data analytics process and project life cycle
- tools and technology used for data analytics and visualisation
- machine learning and data visualisation techniques
Key Takeaways
At the end of the 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
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Full Fee
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Full Programme Fee
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S$1,900
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8% GST on Nett
Programme Fee
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S$152
|
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Total Nett Programme
Fee Payable, Incl. GST
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S$2052
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With effect from 1 Jan 2023 till 31 Dec 2023
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Full Fee
|
|
Full Programme Fee
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S$1900
|
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9% GST on Nett
Programme Fee
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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.
Upcoming Classes
Class 1
26 Feb 2024 to 27 Feb 2024 (Full Time)
Duration: 2 days
When:
Feb - 26, 27
Time : 9.00am - 5.30pm
Class 2
27 May 2024 to 28 May 2024 (Full Time)
Duration: 2 days
When:
May - 27, 28
Time : 9.00am - 5.30pm
Class 3
05 Aug 2024 to 06 Aug 2024 (Full Time)
Duration: 2 days
When:
Aug - 05, 06
Time : 9.00am - 5.30pm
Class 4
04 Nov 2024 to 05 Nov 2024 (Full Time)
Duration: 2 days
When:
Nov - 04, 05
Time : 9.00am - 5.30pm
How To Register
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Step 1
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Apply through your organisation's training request system. |
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Step 2
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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 HR L&D or equivalent staff can click here for details of the registration submission process.
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Step 3
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GovTech Digital Academy will inform you whether you have been successful in enrolment.
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