CASUGOL x UPSRJ Certification Programs

CASUGOL x UPSRJ Certification Programs


Making education, knowledge, and resources accessible to everyone has always been CASUGOL’s mission since inception. Together with UPSRJ as our Platinum Academic Partner, we are pleased to contribute to the enhancement of technical knowledge and digital competency of UPSRJ and its community based on the latest industry best practices and trends.






UPSRJ Courses

$30.00

Course Fee is in Singapore Dollars (SGD)

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Description

  • Duration: 16 Hours to 32 Hours (Depending on Course)

  • Certification: Participants will receive a Certificate of Competency upon successfully completing the course

  • Who Should Attend: Technology Enthusiasts, IT Professionals, Business Leaders, Managers, Educators, Trainers, Entrepreneurs, Students, Undergraduates, Researchers, CEOs, CTOs, Academics, Researchers, Healthcare Professionals, and Anyone interested in learning about emerging technologies, innovation, and other related topics.
Course Objective

To foster the sharing of expertise and knowledge between UPSRJ and CASUGOL, creating opportunities for students to enhance their knowledge, and skills to stay competitive in the digital economy

Learn Python Programming, Data Analytics, Artificial Intelligence, and Cyber Security and how it is being applied in the Real-World

Pre-Requisite

No pre-requisite. CASUGOL x UPSRJ Coursesare suitable for everyone


Examination

Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Data Analytics and Python Programming based on the syllabus covered

Participants are expected to score a minimum of 70% to pass the examination

PPE

  • Duration: 3-Day / 24 Hours
  • Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
  • Who Should Attend: Anyone interested in acquiring knowledge and skills on Python Programming

Course Objective

Acquire the essential knowledge and skills required to start developing projects and applications using Python Programming.

Learn how to leverage on Python's extensive libraries and resources to solve real cases and problems through extensive practical / hands-on sessions.

Pre-Requisite

No Pre-requisite. Python Programming Essentials (PPE) is suitable for everyone.

Examination

Participants are required to attempt an examination upon completion of course and skills related to Python Programming based on the syllabus covered

Participants are expected to score a minimum of 70% to pass the examination



Module 1
Introduction to Python Programming

Python is a high-level, interpreted, interactive, and object-oriented programming language. It is flexible and is often being used to create complex and large-scaled enterprise solutions. In this module, participants will learn the fundamental and core components of Python. Participants are expected to develop a strong foundational knowledge by experiencing first-hand how Python can be deployed.

Topics Covered

  • What is Python Programming?
  • Setup & Installation
  • Understanding the Structure of Python Script with First Python Program
  • Basic Variables: Numbers, Integers, Floats, Strings
  • Strings Formatting in Python
  • If, Else If, and Else Statements
  • Break and Continue Statements
  • For and While Loops
  • Lists & Dictionaries

Module 2
Functions, Classes and Objects in Python

One of the key benefits of Python is its extensive built-in functions. In this module, participants will learn how to develop their own functions and libraries, and when to separate their programs into user-defined functions to enhance program efficiency.

Topics Covered

  • Built-in Functions in Python
  • Creating User Define Functions in Python
  • Defining Classes in Python
  • Creating Objects and Instances
  • Object-Oriented Programming
  • Understanding Constructors
  • What is Inheritance

Module 3
Modules and Libraries in Python

A safe-haven for participants with zero or minimal programming experience. Leveraging on Python's extensive built-in libraries, participants can jumpstart development with minimal programming knowledge and experience. Participants will also learn how to develop their own libraries / modules for sustainability and reusability.

Topics Covered

  • Introduction to Modules in Python
  • Creating Modules in Python
  • Importing Modules in Python
  • Built-in Modules in Python
  • Working with Math Module in Python
  • Drawing Graphics using Turtle Module in Python

Module 4
File-Handling and Handling Errors in Python

No programs can run without a proper File-handling and error handling mechanism. Python provides programmers with a comprehensive set of tools designed to help programmers deploy into any program with ease.

Topics Covered

  • Introduction to File-Handling in Python
  • Creating a Text & Excel File
  • Writing Content to File
  • Appending Content to File
  • Renaming, Opening and Saving Files
  • Introduction to Errors and Exceptions in Python
  • Types of Errors
  • Error Handling in Python
  • Try and Except Keywords to Handle Errors

Module 5
Working With Popular Built-in Modules in Python

Master the art of leveraging by experiencing first-hand working with some of the most popular libraries in the market. Participants will learn the secrets behind working with built-in libraries and its successful deployment by developing library specific projects.

Topics Covered

  • Introduction to NumPy Module
  • Simple Data Analytics Process using Pandas Module
  • Basic Visualization using Matplotlib Module
  • Using tkinter module to Create GUI
  • Creating a Simple Game using pygame module

Python Programming Essentials (PPE) involves extensive hands-on exercises / practical, rigorous usage of real-time case studies, hands-on exercises and group discussion

DAE

  • Duration: 4 Day / 32 Hours
  • Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
  • Who Should Attend: Data Analyst, Data Scientists, Business Analysts, Researchers and Academics, IT Professionals, Business Owners, Key-Decision Makers, and Anyone interested in Business Analytics / Data Analytics

Course Objective

Acquire essential knowledge and skills in the core principles and concepts of data analytics, including data types, data structures, data cleaning, and exploratory data analysis.

Learn how to use Python Programming, its extensive libraries, and ChatGPT for data analytics. Gain skills in creating insightful visualizations using Python libraries like Matplotlib and Seaborn to effectively communicate data patterns, trends, and relationships.

Pre-Requisite

No pre-requisite. Data Analytics Essentials (DAE) is suitable for anyone who is interested in Data Analytics and does not have any prior technological experience

Examination

Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Data Analytics and Python Programming based on the syllabus covered

Participants are expected to score a minimum of 70% to pass the examination



Module 1
Introduction to Data Analytics

Data Analytics is expected to revolutionize all industries and verticals. In this module, participants will engage in extensive discussion on what is data analytics, its key components and impact on businesses.

Topics Covered

  • Data Analytics Overview
  • Concepts of Data Analytics
  • Importance and Advantages of Data Analytics
  • Developing / Application of Data Analytics Strategies
  • Data Analytics Maturity Model
  • Understanding Descriptive, Predictive and Prescriptive Analytics

Module 2
Different Types of Analytics and Application

Learn how to craft a data strategy that meets your organization need. Participants will acquire essential knowledge on how to design a data strategy based on their organization's specific needs. Participants will also have the opportunity to learn about the different techniques in data analytics and its application.

Topics Covered

  • Different Application of Analytics Method
  • Concepts of Text Analytics and Web Analytics
  • Data / information architecture
  • ETL Architecture
  • What is Data Warehouse
  • Business intelligence vs Data Analytics
  • Application of Analytics in an Organisation

Module 3
Deep Dive into Python Programming

Python Programming, a preferred programming language in the digital economy. It is also widely used by data scientist and data analysts. One of the key reason is due to its ease of application and its comprehensive libraries. In this module, participants will have the chance to develop a simple application using Python Programming.

Topics Covered

  • Introduction to Python Programming
  • Setting up Python IDE and Programming Environment
  • Understanding Structure of Python Programming
  • Python Variables: Integer, Floats, Strings
  • Using of List vs. Dictionary
  • Operators and Loops: If-Else, For, While, Break, Continue
  • Types of Functions in Python
  • Introduction to Built-In Functions in Python
  • Introduction to Classes in Python
  • What is Object-Oriented Programming (OOP)

Module 4
Working with Key Modules / Packages

Participants will be introduced to key modules and packages used for Data Analytics by going through a simple data analytics process. Participants can experience first-hand how to read data, perform simple exploratory data analytics, conduct a simple data pre-processing, and create a simple plot to analyse a data.

Topics Covered

  • Understanding Modules in Python
  • Working with NumPy Module
  • Using Python Pandas Module
  • Data Pre-processing, Data Cleaning, and Data Engineering
  • Introduction to MatPlotLib in Python
  • Data Visualization using Python Programming

Module 5
Data Mining Processes for Data Analytics

Data Mining and Data Pre-processing plays an important role in the success of all data analytics project. In this module, participants will dive deep into the various Data pre-processing and data-mining techniques.

Topics Covered

  • Fundamentals of Data Mining
  • Objectives of Data Mining
  • Key aspects of Data Mining
  • Concepts of Knowledge Discovery in Databases (KDD)
  • Models in Data Mining
  • Data Mining Model vs Statistical Model
  • Data Mining Processes

Module 6
Data Mining Techniques

Understanding the various different techniques and its application enhances a Data Analyst ability to better understand and capture hidden insights from vast volume of data. This module aimed to provide participants with the first-hand experience on how various techniques are being utilized.

Topics Covered

  • Different Data Mining Techniques
  • Data Classification
  • Clustering Analysis
  • Regression Analysis
  • Association Rules
  • Outliers Analysis
  • Sequential Patterns
  • Predictive Analytics

Module 7
Deep Dive into Data Visualization with Python

Acquire essential knowledge on the importance of data visualization and how different visual elements can be utilized to enhance and better understand trends, outliers, and patterns in data.

Topics Covered

  • Data Visualization and Data Exploration
  • Comparison Plots (Line Chart, Bar Chart, Radar Chart)
  • Relation Plots (Scatter Plot, Bubble Plot, Correlogram, Heatmap)
  • Composition Plots (Pie Chart, Stacked Bar Chart, Stacked Area Chart)
  • Distribution Plots (Histogram, Density Plot, Box Plot, Violin Plot)
  • Geo Plots (Dot Map, Choropleth Map, Connection Map)
  • Enhancement of Visualization

Module 8
Matplotlib and Seaborn Libraries in Python for Visualization

Matplotlib and Seaborn libraries are two of the most widely utilized libraries in Python for visualization. Learn the key components and parameters of Matplotlib and Seaborn to enhance your visualization.

Topics Covered

  • Deep Dive into Matplotlib in Python
  • Essential Matplotlib Components for Plotting
  • Basic Plots, Layouts, Images, and Mathematical Expressions using Matplotlib
  • Introduction to Seaborn in Python
  • Kernel Density Estimation, Bivariate Distribution, Pairwise Relationships
  • Multi-plots, Regression Plots, Squarify, and Geospatial Plotting using Seaborn

Module 9
Understanding Machine Learning

Automate your data analytics model building by leveraging on the prowess of Machine learning methods. In this module, participants will learn how to expand beyond the conventional data analytics process to leverage on Machine Learning methods to analyse and predict trends.

Topics Covered

  • Statistical Learning vs. Machine Learning
  • Iteration and Evaluation
  • Supervised, Unsupervised, and Reinforcement Learning
  • Different Phases of Predictive Modelling (Data Pre-processing, Sampling, Model Building, Validating)

Data Analytics Essentials (DAE) involves extensive hands-on exercises / practical, rigorous usage of real-time case studies, hands-on exercises and group discussion

CDTP

  • Duration: 2-Day / 16 Hours
  • Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
  • Who Should Attend: Business Leaders, CEO, Directors, CTO, CSO, CISO, CIO, System Analyst, Technologist, System Engineer, IT Professionals, Consultants, Project Managers, Marketing and Sales Professionals, and Anyone seeking to acquire advanced knowledge on Digital Transformation

Course Objective

Acquire advanced knowledge and skills required to formulate and implement a digital transformation strategy using CASUGOL Method™ that aligns with the organization's goals and objectives regardless of Industry Verticals.

Learn how to design sustainable digital strategies and Digital Transformation Frameworks based on organizations' specific requirements to stay competitive in the digital economy

Pre-Requisite

No pre-requisite. Certified Digital Transformation Professional (CDTP) is suitable for anyone with no prior technological experience

Examination

Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Digital Transformation based on the syllabus covered

Participants are expected to score a minimum of 70% to pass the examination



Module 1
Introduction to Digital Transformation

Digital transformation initiatives around the world have accelerated exponentially. However, according to Forbes, approximately 82% of all digital initiatives failed. In this module participants will be introduced to the essentials of Digital Transformation and what are the key components to a successful digital transformation.

Topics Covered

  • What is Digital Transformation?
  • Need for Digital Transformation
  • Benefits of Digital Transformation for Business
  • Key Elements to a Successful Digital Transformation
  • Common Mistakes in Digital Transformation
  • Designing a Mobile-First Strategy

Module 2
Industry 4.0 and Its Impact on Businesses

Digital transformation goes beyond acquiring the latest solutions and tools. It is essential that businesses can differentiate between technology and tools, and leverage on digital technologies that can value add to the business based on the latest industry trends and best practices.

Topics Covered

  • What is Industry 4.0?
  • Impact of Industry 4.0 on Businesses
  • Identifying the Core Pillars of Technology
  • Deep Dive into Artificial Intelligence, Data Analytics, and Big Data
  • ChatGPT, Generative Artificial Intelligence (AI) and the Future of Business
  • Cyber Security and Its Importance for Businesses
  • Cloud Computing Essentials
  • Internet of Things and Its Application
  • Blockchain and FinTech
  • Opportunities / Challenges for Businesses

Module 3
Digital Transformation Framework

In this module, participants will learn how to develop a Digital Transformation Framework based on their business requirements. Participants will also learn pragmatic approaches to implementing sustainable digital strategies.

Topics Covered

  • What is a Digital Transformation Framework
  • Key Components of a Digital Transformation Framework
  • Identify Your Customers and Their Pain Points
  • Design Your Digital Transformation Journey
  • Choosing the Right Framework for Your Organization

Module 4
Developing a Digital Transformation Framework

Participants will have the opportunity to experience first-hand how to develop a Digital Transformation Framework based on his organization’s purpose. Through extensive interaction with the trainer and fellow participants, participants will also acquire knowledge on how to use tools to manage / monitor their digital transformation project.

Topics Covered

  • Redfine the Purpose of the Organization
  • Understand the Objective of Digital Transformation
  • Building a Digital Transformation Strategy
  • Data Governance and Cyber Security Policies
  • Disrupt Your Business Model
  • Identify and Digitally Transform Your Business Core
  • Choosing the Right Framework for Your Organization

Module 5
Data Strategies for Digital Transformation

The role of data is of paramount importance in Digital Transformation. It is almost impossible to kickstart or manage any digital transformation effort without the use of data. In this module, participants will learn how to design a data strategy to track the progress of Digital transformation initiatives.

Topics Covered

  • Data Analytics Overview
  • Leverage on Data Analytics and Big Data
  • Establishing Target Metrics
  • Designing of a Data Analytics Strategy
  • Time-to-Market Analytics
  • Competitive Advantage Analytics
  • Human Capacity Analytics
  • Business Growth Analytics

Module 6
Artificial Intelligence and Generative Artificial Intelligence (AI) Governance

Artificial Intelligence and Generative Artificial Intelligence (AI) Governance is a crucial field that addresses the ethical, legal, and societal challenges posed by the rapid advancement of AI technologies, including generative AI. This domain focuses on establishing frameworks and guidelines to ensure responsible and accountable development, deployment, and use of AI systems.

Topics Covered

  • Introduction to Artificial Intelligence (AI) Governance
  • Understanding the Ethical Considerations in AI
  • Brief Overview on the AI Regulatory Frameworks
  • Techniques for Making AI Models Transparent and Interpretable
  • Accountability and Responsibility using Artificial Intelligence Systems
  • Artificial Intelligence Governance and Its Application
  • Human-Artificial Intelligence Collaboration
  • Generative Artificial Intelligence and its Governance
  • Generative AI Challenges (Deepfakes, Synthetic Media, and Disinformation, etc...)

Module 7
Developing an Eco-System Strategy

To stay competitive in this fast pace digital economy, businesses are expected to collaborate and form strategic partnership with other businesses. The ability to identify a potential long-term partnership and leverage on each other’s strengths will allow businesses to focus on its core purpose of transformation.

Topics Covered

  • What is a Digital Transformation Ecosystem?
  • Partnership for Transformation Success
  • Private-Public Partnership
  • Partnership and Alliance in Digital Transformation
  • Transactional Ecosystem vs. Solution-based Ecosystem

Module 8
Putting Everything Together

The success of all digital transformation initiatives largely depends on the people involved. In this module, participants will acquire extensive knowledge on the soft skill components of digital transformation and how to incorporate these elements as part of their digital transformation initiatives.

Topics Covered

  • Becoming an Inclusive Leader
  • Organization Cultural Change
  • Organization Management Methodologies
  • Putting Everything Together
  • Continuous Refinement of Framework
  • Creating a Business Model

Certified Digital Transformation Professional (CDTP) involves rigorous usage of real-time case studies, role playing and group discussion

Some Reasons Why Learners Choose CASUGOL

  • International Certification Body

  • Presence in 38 Countries

  • Developed by Industry Experts

  • More than 42,000 professionals passed through our education system

  • Flexible program design for all individuals

  • Learn from internationally renowned leading industry experts, academics, and researchers

  • Support for participants during and after training

  • Enhance competency of workforce and improve individual career prospect

  • Customization of programs for specific industry, organization, government agencies, statutory boards

  • Learn in a highly interactive, supportive and encouraging environment

  • Regular invitation to attend courses / workshops / seminars / events at complimentary rate


Individual or Self-Sponsored Learners

  • STEP ONE: Select your preferred batch / category above

  • STEP TWO: Click on Add to Cart

  • STEP THREE: In the pop-up page, click on View Cart

  • STEP FOUR: In the Cart page, click on Proceed to Checkout

  • STEP FIVE: In the Checkout page, complete the Billing Details and click on Place Order


For corporate-sponsored participants, batch registration, or any questions on the course
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Certificate Verification

All certificates issued by CASUGOL are to individuals who have successfully completed CASUGOL Certification Programs / Executive Workshops and have fulfilled all requirements by demonstrating proficiency in applying the knowledge and skills acquired.

Click below to verify certificate


CASUGOL is dedicated to making education, knowledge, and resources accessible to everyone around the world. Our Financial Aid is aimed to empower learners who may encounter financial barriers in pursuit to advance their knowledge and technical know-how.

If you are unable to cover the costs of a course, you have the opportunity to request financial aid via the link found on the course's homepage. Upon approval for financial aid, you will gain full access to all course materials and can successfully complete the course to obtain a certificate.



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How to Apply


To apply for financial aid:

  • Step 1: Visit the Course Page and Click on the Apply Financial Aid below the Course Fee
  • Step 2: Fill out the form and submit your application
  • Step 3: Make sure your application meets a maximum of 250 word count
  • Step 4: Wait up to 24 Hours for your application to be reviewed

Upon reviewing your application, you will receive an email notification informing you of the approval or denial status.


What Will I Receive?


If you’re approved for financial aid, you’ll receive a discount off the cost of the course. We offer financial aid to help empower learners who wouldn’t otherwise be able to afford the course fee.

In order to fairly distribute financial aid resources to the learners who need it the most, the amount of financial aid you receive may depend on the details in your application and your geographical location.


Application Status

Approved Applications

Upon approved, you will receive an email letting you know. Please follow the instructions provided in the email to begin your learning journey.

Rejected Applications

In the event that your application is declined, you will receive an email providing an explanation for the denial. If there were any issues with your initial application, you have the option to submit a new application and reapply.




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What You Can Expect




Technology-Based Training



Open-Source Tools



80% Hands-On Exercises / 20% Theory



Designed by Industry Leaders and Subject-Matter Experts



Progressive Learning



Highly interactive, supportive and encouraging



Be recognized as a CASUGOL Certified Professional





What Learners Say

Awesome to Learn, Thanks Sir Dwayne.
Cliff Balayan
Cliff Balayan
Good beginner class to learn the foundation of the Data Analytics!
Jen
Jen
Friendly trainer. Always stopping to ask if we have any questions and asking us questions to make the lesson interactive.
Mindy Tan
Mindy Tan
Superb training experience!
NG LAY HONG
NG LAY HONG
Lilian Tan
Lilian Tan
Elaine Chan Wai Kuen
Elaine Chan Wai Kuen
Nazrul Azmi
Nazrul Azmi
Syamil Ani
Syamil Ani
Very in depth seminar conducted by Mr Dwayne Ong on CDTP course. We appreciate your time and support for the past 2 days on the course. Mr Dwayne was very knowledgeable and offered very valuable information. Great tools to apply for organizations moving towards Digitalizations
Bahagian Pengambilan Pelajar IPT
Bahagian Pengambilan Pelajar IPT
Very informative class. Participants able to learn latest trend in digital trend
Iman Cipta
Iman Cipta
It was an amazing experience. A very interesting learning experience outside my expertise
hamizan malek
hamizan malek
Nice experience on this training. Thank you.
MengKeong San
MengKeong San
Machine learning is very interesting
Nurlaila
Nurlaila
Esther Sihuraa
Esther Sihuraa
Emanuel Antonius
Emanuel Antonius
Learn enjoy with CASUGOL😁
Afri Official
Afri Official
Very nice
Khevind Adrian
Khevind Adrian
ferdy santoni
ferdy santoni
Jonatan Abednego
Jonatan Abednego
Adi Gunawan Lase
Adi Gunawan Lase
Leonardo
Leonardo
Great training experience!
Joshua P. Romero
Joshua P. Romero
The integration of case studies into our 2-day training has been instrumental in deepening our knowledge and preparing us to tackle real-world challenges in DX. It has been an engaging and enriching experience! Thank you, Dwayne/ CASUGOL =)
Yvette Halili-De Leon (YHD)
Yvette Halili-De Leon (YHD)
Training delivery was amazing. Complicated and technical concepts were distilled and made simple for participants to easily understand and relate to.Highly recommended for professionals who wants to upskill and bring better value to their respective organizations.
francis nepomuceno
francis nepomuceno
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Discover Digital Transformation

Digital transformation is inevitable for businesses and the need to prioritize focus on digital technologies to enhance business performance and customer experience is expected to grow exponentially. Given the growing uncertainty in the world, businesses need to keep themselves abreast of the latest industry trends and best practices on a wide range of topics related to Digital Transformation.






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