SPaCE – Data and Technology

Module Description

This self-paced course is designed for individuals with no prior programming experience who are interested in learning the fundamental concepts and logic behind coding. It is ideal for students pursuing Information Technology Education (ITE), Engineering or related fields, professionals exploring career transitions or enhancing their skill set in basic programming, and anyone interested in the principles of programming and its real-world applications.

Note: This is a self-paced course, allowing participants to progress through the instructional materials at their own pace.

Module Objectives

By the end of this course, participants will be able to articulate core programming concepts, comparing paradigms, problem-solving methodologies, and utilize AI tools to generate source code. Participants will also understand variables, data types, operators, control flow, and functions, and develop simple programs using fundamental programming constructs.

Module Outline

• Lesson 1: Computer Programming
• Lesson 2: Programming Languages
• Lesson 3: Writing and Running a Program
• Lesson 4: Code Editors and IDEs
• Lesson 5: Programming Paradigms
• Lesson 6: Operators, Expressions and Statements
• Lesson 7: Variable and Data Types
• Lesson 8: Algorithmic Thinking
• Lesson 9: Pseudocode
• Lesson 10: Flowcharts
• Lesson 11: Basic Programming Constructs
• Lesson 12: Evaluating Boolean Expressions
• Lesson 13: Conditional Statements
• Lesson 14: Looping Statements
• Lesson 15: Building your First Program in Different Languages

Total Video Duration (Runtime): 1 hour & 42 minutes

Investment Time: 12 hours

Module Fee: ₱17,545

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Module Description

This course is designed for anyone looking to upskill in Python, from beginners to experts. It covers the essentials of Python programming, a key language used in fields like Data Science, AI, and Big Data. Whether you’re new to coding or seeking to enhance your skills, this course will help you master Python for practical applications.

Module Objectives

By the end of this module, participants will be able to use Python to solve complex problems, build applications and dashboards, and create machine learning models, AI applications, robotic process automation, IoT solutions, and advanced analytics.

Module Outline

• Day 1: Introduction to Python & Basics, Data Structures I
• Day 2: Data Structures II, Comparison Operators
• Day 3: Python Statements I & II
• Day 4: Methods, Functions & Expressions
• Day 5: Object-Oriented Programming
• Day 6: Modules, Packages & Advanced Functions
• Day 7: Advanced Python Libraries

Schedules:

2025 Run: TBA

Module Fee: ₱18,495

Module Description

This course teaches you to identify and evaluate business analytic opportunities. You’ll learn basic analytic methods through case studies and explore data insights, forecasting techniques, and spreadsheet modeling for decision-making. The course also covers challenges in implementing analytics within organizations.

Module Objectives

By the end of the module, participants will be able to extract valuable insights from raw data, use forecasting and time series analysis to predict outcomes and apply techniques like statistical analysis, predictive modeling, and reality-based management to support decision-making.

Module Outline

• Day 1: Descriptive Analysis (Tabular & Graphical Methods, Numerical Measures)
• Day 2: Predictive Analysis (Forecasting)
• Day 3: Prescriptive Analysis (Spreadsheet Modeling)
• Day 4: Final Project Presentation

Schedules:

2025 Run: TBA

Module Fee: ₱30,895