WSQ - Data Mining and Machine Learning with Orange | WSQ Courses

Originally published at: http://valuecourses.com/courses/wsq-data-mining-and-machine-learning-with-orange-wsq-courses/

Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques such as statistics and machine learning , you can use this information to increase revenues, cut costs, improve customer relationships, reduce risks and more.

Orange is a platform built for data mining, predictive analytics on a GUI based workflow. This signifies that you do not have to know how to code to be able to work using Orange and mine data, crunch numbers and derive insights.

Orange comes with many machine learning and predictive analytics toolbox such as supervised learning, unsupervised learning that make it a great tool for predictive analytics and machine learning

This 2 days WSQ Data Mining and Machine Learning courses will teach you how to apply data mining and machine learning techniques using Orange.

Course Learning Outcomes

By the end of the course, learners will be able to

  • LO1 – Apply data mining and machine learning principles to assess business insights

  • integrate information from datasets
  • apply predictive data modelling techniques to identify underlying trends in data
  • apply machine learning classification techniques to gain new insights from data
  • apply clustering techniques to discover data pattern and make decision
  • develop prototype algorithms with dimension reduction techniques
  • construct association rules to Identify patterns across multiple data sets to derive insights

Course Brochure

Download WSQ – Data Mining and Machine Learning with Orange Brochure

Skills Framework

This course follows the guideline of Data Analytics MED-ACE-3018-1 TSC under Media Skills Framework

Certification

Two e-certificates will be awarded to trainees who have demonstrated competency in the WSQ assessment and achieved at least 75% attendance.

  • A SkillsFuture WSQ Statement of Attainment (SOA) issued by WSG. Typically will take 3-4 weeks.
  • Certification of Achievement issued by Tertiary Infotech Pte Ltd issued after the class.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective from 1 Jan 2022
Full Fee GST Nett Fee after Funding (Incl. GST)
Normal MCES / SME
$688 $48.16 $392.16 $254.56

Normal: Singaporean/PR age 21 and above
MCES: Singaporean age 40 and above

Effective for courses starting from 1 Jan 2023
Full Fee GST Nett Fee after Funding (Incl. GST)
Normal MCES / SME
$688 $55.04 $399.04 $261.44

Normal: Singaporean/PR age 21 and above
MCES: Singaporean age 40 and above

WSQ TG Application Form

Eligible individuals and company can apply for WSQ TG. Please login to Skilleto and fill in the required details for grant application. Please click here to submit for WSQ TG

Please do not pay upfront. We will advise you on the eligibility and nett fee after registration. Company sponsored staff are eligible for Absentee Payroll.


After the WSQ subsidy, you can offset the nett fee by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped at $250 per year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Click here for ad-hoc PSEA application form.

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Courses are provided by tertiarycourses.com.sg