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Course Details
Course Details
What You'll Learn
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:
Hardware: Windows and Mac Laptops
Job Roles
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
Trainers
is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies
