Organizations invest substantially in providing development opportunities for their employees. However, the emphasis should be on the effectiveness and reception of these interventions, rather than the financial investment alone. Understanding the effectiveness of employee development, particularly training, is crucial for companies and organizations of all sizes to ensure that these investments yield long-term benefits.

This self-paced trial course is created to test the features of Linang from a student's perspective. It is available exclusively to DAP email users.

Sign in with your DAP email by clicking the Google button on the login page, then enter the designated self-enrollment key D@P+51~ to enroll in this course.

This is a sample course used for the demonstration of Linang's features. 

This self-directed capstone course provides an opportunity for learners under the Analytics Manager pathway to integrate and apply the analytics skills and knowledge learned in their previous courses to real-world problems.

This capstone intends to create a Lean Canvas for data-driven innovation or process improvement initiatives of your current or previous organization.

Learners are required to put together ideas and strategies into one template/document that will translate analytical results into actionable business items.

At the end of the course, learners are expected to submit simple documentation and Lean Canvas that serves as a blueprint of the analytics implementation.

Take note of the following end dates for this course:

• Deadline for submissions: October 26, 2024, 11:59 PM
• Start of peer-graded assessment: October 27, 2024, 11:59
• Closing of peer assessment: October 29, 2024, 11:59 PM
• End of course: November 4, 2024, 11:59 PM

This self-directed capstone course provides an opportunity for learners under the Data Steward pathway to integrate and apply the analytics skills and knowledge learned in their previous courses to real-world problems.

This capstone intends to develop a comprehensive metadata of the Sustainable Development Goal (SDG) Database that may serve as an inventory of available data and as a guide for data enhancement.

At the end of the course, learners are expected to submit simple documentation and comprehensive metadata that presents the inventory of SDG data in the chosen focus areas.

Take note of the following end dates for this course:

• Deadline for submissions: October 12, 2024, 11:59 PM
• Start of peer-graded assessment: October 13, 2024, 00:01 AM
• Closing of peer assessment: October 15, 2024, 11:59 PM
• End of course: October 19, 2024, 11:59 PM

This self-directed capstone course provides an opportunity for learners under the Data Engineer pathway to integrate and apply the analytics skills and knowledge learned in their previous courses on real-world problems. Learners are required to create a relational database that will be used to recreate the dashboard for Sustainable Development Goals (SDG) indicators.

At the end of the course, learners are expected to submit:

• A Relational Database that organizes various datasets to recreate the dashboard for SDG indicators.
  
• An Entity Relationship Diagram (ERD) of the created Relational Database.
  
• A simple documentation.
  

Take note of the following end dates for this course:

• Deadline for submissions: November 2, 2024, 11:59 PM
  
• Start of peer assessment: November 3, 2024, 12:01 AM
• Closing of peer assessment: November 5, 2024, 11:59 PM
• End of course: November 9, 2024, 11:59 PM
  

This self-directed capstone course provides an opportunity for learners under the Data Associate pathway to integrate and apply the analytics skills and knowledge learned in their previous courses to real-world problems.

This capstone intends to create a Provincial Dashboard by utilizing publicly available data. Learners are required to create a dashboard that will serve as a snapshot of the chosen province's current profile, which may help local government units (LGUs) come up with data-driven solutions and resource allocation.

At the end of the course, learners are expected to submit simple documentation about a snapshot of the chosen province's current profile.

Take note of the following end dates for this course:

• Deadline for submissions: October 5, 2024, 11:59 PM
• Start of peer assessment: October 6, 2024, 12:00 AM
• Closing of peer assessment: October 8, 2024, 11:59 PM
• End of course: October 12, 2024, 11:59 PM

This self-directed capstone course provides an opportunity for learners under the Data Scientist pathway to integrate and apply the analytics skills and knowledge learned in their previous courses on real-world problems.

Learners are required to choose a specific local issue of their interest and use Philippine dataset(s) to propose a solution, to allow them to apply data collection, analysis, modeling, evaluation, and presentation skills. At the end of the course, learners are expected to submit:

• a presentation report, summarizing the problem statement, objectives, analyses, results, conclusions, and recommendation
• spreadsheets, scripts, or Jupyter notebooks with the analyses details

Take note of the following end dates for this course:

• Deadline for submissions: November 16, 2024, 11:59 PM
• Start of peer-graded assessment: November 17, 2024, 00:00 AM
• Closing of peer assessment: November 19, 2024, 11:59 PM
• End of course: November 23, 2024, 11:59 PM

This self-directed capstone course provides an opportunity for learners under the Data Analyst pathway to integrate and apply the analytics skills and knowledge learned in their previous courses on real-world problems.

This capstone intends to present the Philippine situation during the pandemic by utilizing publicly available data, which will be useful in providing context and analysis of such data.

Learners are required to choose at least one among the following focus areas: business impact, healthcare system, and education, and use, among other sources, local dataset(s) to propose a dashboard that will provide a snapshot of information about the situation/performance of the Philippines during the pandemic. 

At the end of the course, learners are expected to submit:

• A concept paper behind the rationale of the proposed dashboard
• A dashboard mock-up in Excel

Take note of the following end dates for this course:

• Deadline for submissions: October 19, 2024, 11:59 PM
• Start of peer assessment: October 20, 2024, 12:01 AM
• Closing of peer assessment: October 22, 2024, 11:59 PM
• End of course: October 26, 2024, 11:59 PM