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
Prerequisite:
This is beginner course. No prori programming language is required
Software Requirement:
- Download and Install Orange before the class
HRDF Funding
Please refer to this video https://youtu.be/Kzpd-V1F9Xs
1- HRD Corp Grant Helper
How to submit grant applications for HRD Corp Claimable Courses
2- Employers are required to apply for the grant at least one week before training commences.
Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.
3- First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my
Second, Click Application
4- Click Grant on the left side under Applications
5- Click Apply Grant on the left side under Applications
6- Click Apply
7- Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply
8- Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:
9- Select your Immediate Officer and click Next
10- Select a Training Provider, then click Next
11- Please select a training programme from the list, then key in all the required details and click Next
Select your desired training programme.
Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.
Explain the background and objective of this training.
Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.
12- If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next
Insert MiCAS Application number
13- Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:
14- Please select a Course Title and Type of Training
15- Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:
16- Please key in the Training Location and click Next
17- Please select the Level of Certification and click Next
18- Please follow the instructions and key in trainee details
19- Click Add Batch, then click Save
20- Click Add Trainee Details
21- Please key in all the required details, then click Add
22- Click Add if there are more participants. Once done, click Save
23- Click Next
24- Please key in the course fees and allowance details, then click Save
25- Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.
26- Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next
27- Complete the declaration form and select a desired officer
28- Add all the required documents, then click Add Attachment. Then, click Save and Submit Application
29- Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.
The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.
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
Dr. Aanand: Dr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance. He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learning (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana. He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post-graduate in Physics from the University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.
Customer Reviews (5)
- will recommend Review by Course Participant/Trainee
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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 - will recommend Review by Course Participant/Trainee
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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 - will recommend Review by Course Participant/Trainee
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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
Trainer knowledge is good but time is too short to catch up everything in just 1 day (Posted on 30/07/2021) - might recommend Review by Course Participant/Trainee
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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 - will recommend Review by Course Participant/Trainee
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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
The instructor is very knowledgeable. (Posted on 27/07/2021)