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Course Details
Day 1
Topic 1 - Python Fundamental
Topic 1.1 Get Started on Python
- Overview of Python
- Set Python
- Code Your First Python Script
Topic 1.2: Data Types
- Number
- String
- List
- Tuple
- Dictionary
- Set
Topic 1.3 Operators
- Arithmetic Operators
- Compound Operators
- Comparison Operators
- Membership Operators
- Logical Operators
Topic 1.4 Control Structure, Loop and Comprehension
- Conditional
- Loop
- Iterating Over Multiple Sequences
- Comprehension
Topic 1.5 Function
- Function Syntax
- Return Values
- Default Arguments
- Variable Arguments
- Lambda, Map, Filter
Topic 1.6 Modules & Packages
- Import Modules and Packages
- Python Standard Packages
- Third Party Packages
Day 2
Topic 2 - Data Analytics and Visualization with Python
Topic 2.1 Data Preparation
- Data Analytics with Pandas
- Pandas DataFrame and Series
- Import and Export Data
- Filter and Slice Data
- Clean Data
Topic 2.2 Data Transformation
- Join Data
- Transform Data
- Aggregate Data
Topic 2.3 Data Visualization
- Data Visualization with Matplotlib and Seaborn
- Visualize Statistical Relationships with Scatter Plot
- Visualize Categorical Data with Bar Plot
- Visualize Correlation with Pair Plot and Heatmap
- Visualize Linear Relationships with Regression
Topic 2.4 Data Analysis
- Statistical Data Analysis
- Time Series Analysis
Topic 2.5 Advanced Data Analytics
- Data Piping
- Groupby and Apply Custom Functions
- Linear Regression
Day 3
Topic 3 Machine Learning with Scikit Learn
Topic 3.1 Overview of Machine Learning and Scikit Learn
- Introduction to Machine Learning
- Supervised vs Unsupervised Learnings
- Machine Learning Applications and Case Studies
- What is Scikit Learn
- Installing Scikit-Learn
Topic 3.2 Classification
- What is Classification
- Classification Algorithms
- Classification Workflow
- Confusion Matrix
- Binary Classification Metrics
- ROC and AUC
Topic 3.3 Regression
- What is Regression?
- Regression Algorithms
- Regression Workflow
- Regression Metrics
- Overfitting and Regularizations
Topic 3.4 Clustering
- What is Clustering
- K-Means Clustering
- Silhouette Analysis
- Dendrogram and Hierarchical Clustering
Topic 3.5 Principal Component Analysis
- Curse of Dimensionality Issue
- What is Principal Component Analysis (PCA)
- Feature Reduction with PCA
Day 4
Topic 4 Basic Neural Network with Tensorflow
Topic 4.1 Introduction to Deep Learning
- Machine Learning vs Deep Learning
- Deep Learning Methodology
- Overview of Tensorflow Keras
- Install and Run Tensorflow Keras
- Basic Tensorflow Keras Operations
Topic 4.2 Neural Network for Regression
- What is Neural Network (NN)?
- Loss Function and Optimizer
- Build a Neural Network Model for Regression
Topic 4.3 Neural Network for Classification
- One Hot Encoding and SoftMax
- Cross Entropy Loss Function
- Build a Neural Network Model for Classification
Day 5
Topic 5 Advanced Neural Networks with Tensorflow
Topic 5.1 Convolutional Neural Network (CNN)
- Introduction to Convolutional Neural Network?
- ImageDataGenerator
- Image Classification Model with CNN
- Data Augmentation and Dropout
Topic 5.2 Transfer Learning
- Introduction to Transfer Learning
- Applications of Pre-Trained Models
- Fine Tuning Pre-Trained Models
Topic 5.3 Recurrent Neural Network (RNN)
- Introduction to Recurrent Neural Network (RNN)
- LSTM and GRU
- Build a RNN Model for Time Series Forecasting
- Build a RNN Model for Sentiment Analysis
Course Info
Prerequisite
The learner must meet the minimum requirement below :
- Read, write, speak and understand English
Target Audience
- NSF
- Full Time Students
- Data Analysts
Software Requirement
This course will use Google Colab for training. Please ensure you have a Google account.
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 Analysts
- Machine Learning Engineers and Developers
Trainers
Nero: Nero is dean of Penang School of AI, which is AI learning and sharing community in Northern Malaysia. He is Msc in Computer Imaging in Universiti Sains Malaysia. His research is mainly focusing in Video Analytic and Multiple object tracking. At the same time, he is developing computer vision application in WyseTime, a tech-startup company focus on video analytic application using deep learning technology.
Lee Cheong Loong: Lee Cheong Loong, Manager with 23 years working experience in multiple role and department, He completed HRD Corp Train the Trainer programme, HRD Corp Accredited Trainer, Microsoft Certified Trainer and CPFA Citizen Data scientist Trainer programme. with Professional certificate in Big Data & Analytics, Microsoft Office Specialist -Excel 2016 and Tableau Desktop Specialist. He also deliver training for R & Python programming, Excel Dashboard for Business analysis, Data Visualization with Tableau, and Microsoft PowerBI, and Citizen Data Scientist (OpenCertHub).
Customer Reviews (20)
- no further comments, pretty great course so far Review by Course Participant/Trainee
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so far it is ok because i have only attended day 1, will need to experience the next 4 days to provide a better feedback on this (Posted on 29/01/2024)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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. (Posted on 17/11/2023)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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. (Posted on 17/11/2023)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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. (Posted on 22/09/2023)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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. (Posted on 22/09/2023)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 - . Review by Course Participant/Trainee
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. (Posted on 22/09/2023)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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. (Posted on 22/09/2023)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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Lunch provided (Posted on 22/09/2023)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 - might recommend Review by Course Participant/Trainee
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Slower pace for certain concepts that are hard to understand. (Posted on 22/09/2023)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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I think the course delivery is good enough. Might need to check on WiFi connectivity though. (Posted on 20/09/2023)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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. (Posted on 21/08/2023)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 - might recommend Review by Course Participant/Trainee
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Time constraints (Posted on 17/04/2023)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 - might recommend Review by Course Participant/Trainee
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. (Posted on 19/02/2023)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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. (Posted on 19/02/2023)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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. (Posted on 19/02/2023)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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. (Posted on 19/02/2023)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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. (Posted on 19/02/2023)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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. (Posted on 19/02/2023)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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As a newcomer to digital marketing, this training was a really good to Digital Marketing (Posted on 15/07/2022)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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As a newcomer to digital marketing, this training was a really good to Digital Marketing. (Posted on 15/07/2022)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
