course-banner-img Data Analytics-1

Analytics with KNIME – A Practical Approach

Topic:Data Analytics & Visualisation, Others

Course Type:Short & Modular Courses

Register interest
Download PDF for print

Overview

  • Course Date:

    TBA
  • Registration Period:

    TBA
  • Time:

    TBA,
    24 hours / 3 days
  • Mode of Training:

    Facilitated Learning (F2F)
  • Venue:

    Singapore Polytechnic
  • Funding:

    Eligible for SkillsFuture Credit

*Please note that once the maximum class size is reached, the online registration will be closed. You may register your interest, and would be notified if there is a new run.

Course Objective

In this 3-day course, participants will be introduced to the complete data mining process, from identifying business problems, data pre-processing, model building, to the evaluation of machine learning models.

This course helps participants to gain proficiency in data analytics by constructing workflows in clustering, classification and regression. It also guides participants to analyse data of interest to derive meaningful and actionable insights

Course Outline

By the end of the course, participants will be able to: 

1. Acquire proficiency in data analytics by constructing workflows in clustering, classification and regression.
2. Analyse data to derive meaningful and actionable insights

Topics to be covered

1. Introduction to Analytics & KNIME 
2. Data Preparation and Exploration
3. Unsupervised Learning techniques
4. Supervised Learning techniques
5. Ensemble Methods

Minimum Requirements

Basic knowledge on data and IT skills. Participants must be comfortable to work with new software platform (no coding skills needed)

Certification / Accreditation

• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate

• Certificate of Completion (electronic Certificate will be issued)
A Certificate of Completion will be awarded to participants who pass the assessment and meet at least 75% attendance rate

Suitable for

AI applied researcher / AI learning engineer / Machine learning engineer / Data scientist / AI scientist / Business Intelligence Managers / Data Analyst /Business Intelligence Director.

Course Fees

The course fees payable are inclusive of prevailing GST rate.

Applicants/Eligibility SkillsFuture Funding GST* Subsidised Fee (after GST)
Singapore Citizens aged 40 and above¹ $801.00 $24.03 $113.03
Singapore Citizens aged below 40 $623.00 $24.03 $291.03
Singapore Permanent Residents and LTVP+ Holders $623.00 $24.03 $291.03
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders² $801.00 $24.03 $113.03
Others (Full fees payable) $0.00 $80.10 $970.10

As per SSG’s policy, the GST payable for all funding-eligible applicants is calculated based on prevailing GST rate after baseline funding subsidy of 70%

Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.

¹ Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here
² Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information of the scheme, click here. To view SP’s list of similar funded courses, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.


Funding Incentives

Please click here for more information on funding incentives.


Related Links

 

Application Procedure

1. Application must be made through STEP. 

2. All successful applicants will be notified with a letter of confirmation via email.
 

Courses that may also interest you