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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
Total Video Duration (Runtime): 1 hour & 42 minutes
Investment Time: 12 hours
Module Fee: ₱17,545
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
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
Schedules:
2025 Run: TBA
Module Fee: ₱30,895
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De La Salle-College of Saint Benilde
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