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Predictive Analytics with Orange

Predictive Analytics with Orange

9 Review(s) | Add Your Review

Discover the realm of predictive analytics with our Predictive Analytics with Orange training at Tertiary Courses. Orange, renowned for its user-friendly interface and comprehensive modules, has emerged as a leading tool in the analytics community. This course ensures participants unravel the extensive capabilities of Orange, enabling them to anticipate trends, patterns, and behaviors from their data.

Begin with a comprehensive overview of Orange and its landscape. Trainees will delve deep into classification, predictive modeling, and regression analysis techniques that power data-driven decisions. Progressing further, participants will explore advanced modules like clustering and image analytics, ultimately culminating in the powerful realm of dimension reduction. Join us and supercharge your predictive analytics skills, turning data insights into actionable strategies.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Data Mining and Machine Learning Fundamentals for Beginners

Course Code: C545

Fee

$300.00 (GST-exclusive)

$327.00 (GST-inclusive)

The course fee listed above is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate

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Post-Course Support

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topic 1 Overview of Predictive Analytics and Orange

Data Mining Process
Introduction to Machine Learning
Supervised vs UnSupervised Learnings
Overview of Orange

Topic 2: Data Preparation

Load Data to Orange
Interactive Visualization
Filter Data
Merge and Concat Data
Preprocess Data
Feature Statistics
Save Data

Topic 3: Regression

What is Regression
Linear Regression
Model Evaluation Metrics for Regression
Regularization

Topic 4: Classification

What is Classification
Classification Algorithms
K-Fold Cross Validation
Model Evaluation Metrics for Classification
Confusion Matrix
ROC Analysis for Binary Classification

Topic 5: Clustering

What is Clustering
K-Means Clustering
Silhouette Analysis
Hierarchical Clustering

Topic 6: Dimension Reduction

What is Dimension Reduction
Principal Component Analysis (PCA)
Feature Ranking
t-SNE and MDS

Topic 7: Association Analysis

What is Association Analysis
Apriori Algorithm
Association Analysis with Orange

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Orange

Hardware: Windows and Mac Laptops

Job Roles

Data Scientist
Machine Learning Engineer
Data Analyst
Business Intelligence Analyst
Research Scientist
Quantitative Researcher
Bioinformatics Scientist
Data Mining Specialist
Customer Insights Analyst
Marketing Analytics Specialist
Predictive Analytics Specialist
Healthcare Data Analyst
Financial Modeler
E-commerce Data Specialist
User Behavior Analyst

Trainers

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka have a degree in Biotechnology (from NUS) ,Advanced diploma in Pharmaceutical management (from MDIS) and Masters in Education (from NTU). He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas He is a ACLP certified trainer.

Man Guo Chang: Man Guo Chang graduated from Nanyang Technological University, School of Electrical and Electronic Engineering, major in Computer Engineering.

He has more than 25 years of working experience in the Semiconductor field, specialized in IC Testing, Inline Electrical Testing, Product & Yield Engineering, Data Analysis, System Engineering, and Software Development. He is also an ACTA certified trainer, currently providing STEM training to adult learners in the area of Computer Vision, Internet of Things, Embedded Electronics, and Python Programming

Customer Reviews (9)

Excellent course. Worth the money Review by Course Participant/Trainee

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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Excellent course. Worth the money (Posted on 9/20/2023)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

.Sufficient for my needs (Posted on 6/6/2020)

will recommend Review by Course Participant/Trainee

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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 6/5/2020)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Sufficient for my needs (Posted on 6/5/2020)

Dwight is a good trainer! Review by Course Participant/Trainee

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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

More examples (Posted on 1/4/2020)

Will Recommend Review by Course Participant/Trainee

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3. How do you find the training environment

. (Posted on 11/7/2019)

Will Recommend Review by Course Participant/Trainee

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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 11/6/2019)

Will Recommend Review by Course Participant/Trainee

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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

very happy with the trainer and his commitment. Really appreciate his efforts. (Posted on 7/1/2019)

will recommend Review by Course Participant/Trainee

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Nil (Posted on 4/26/2018)

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$300.00 (GST-exclusive)

$327.00 (GST-inclusive)

About Us

Tertiary Courses, founded in 2014, specializes in providing modular, skill-based courses tailored to Industry 4.0. We are WSQ Approved Training Organization (ATO), and IBF Approved ATO.. We are also Authorized Microsoft Learning Partner, Autodesk Authorized Training Center (ATC), Pearson Vue Authorized Test Center and Kryterion Authorized Testing Center. We offer a comprehensive range of training, certification prep and certification exam services. Additionally, we are a registered supplier with Singapore GeBiz, further solidifying our position as a trusted educational institution in the region.

Training Grants and Subsidies

We have various grants and subsidies for different courses. Please check the respective funding available on individual course page.

WSQ: Company and Singaporeans/PR can apply WSQ 70-90% funding depending on eligibility
SkillsFuture Enterprise Credit (SFEC) - Eligible Singapore-registered companies can tap on $10000 SFEC to cover up to 90% of out-of-pocket expense
SkillsFuture Credit: All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses.
IBF-STS Companies and Singaporeans/PR can apply IBF-STS 70-90% funding depending on eligibility
UTAP: NTUC members enjoy 50% subsidy for unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP
SGTech STAR Fund: SGTECH members enjoy $500 grant per pax for SGTech STAR courses