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

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 course is a compilation of reference materials that can serve as reviewers for CSC Sub-Professional and Professional Examinations.

DAP employees are free to enroll. To register, kindly fill up the Register button found at the upper right side of the Linang page.  You will be notified of the self-enrollment guidelines after registration.

Looking forward to learning with you!

Testing is common in academia and the business world, especially when one wants to make sense of any part of a process in which a variation can lead to differential results. In the industry, the common approach is to change one factor at a time, while holding other factors constant. This can be highly inefficient and may lead to wrong conclusions. In this course, participants will learn how to design, run, and analyze experiments that allow simultaneous testing of all factors. This course imparts practical knowledge of experimental design and analysis by illustrating cases on the real-world implementation of experimentation.

To realize the vision of a healthy and vibrant Philippines ecosystem utilizing Analytics for the good of society, this course is intended to establish a starting point, a common ground for all professionals who want to understand and harness the power of data through Analytics. Using the available online materials, discussion boards, and webinars, the course offers participants a shared definition of Analytics, a set of the major Analytics job families, a globally-recognized list of Analytics skills and competencies, and a professional and organizational maturity model in order to formulate an Analytics strategy roadmap for their organization. The ultimate goal is for the learners to enable the Analytics ecosystem of the Philippines and do Analytics for the good of society.

To realize the vision of a healthy and vibrant Philippines ecosystem utilizing Analytics for the good of society, this course is intended to establish a starting point, a common ground for all professionals who want to understand and harness the power of data through Analytics. Using the available online materials, discussion boards, and webinars, the course offers participants a shared definition of Analytics, a set of the major Analytics job families, a globally-recognized list of Analytics skills and competencies, and a professional and organizational maturity model in order to formulate an Analytics strategy roadmap for their organization. The ultimate goal is for the learners to enable the Analytics ecosystem of the Philippines and do Analytics for the good of society.

Data is a vital component of an organization's operational plans, management decisions, and other relevant business matters. In order to use data effectively, it is important to understand its nature and technicalities. This course provides an overview of how to transform data into products or services. This course explores the intersection of data science and analytics, data products, and rapid prototyping. At the end of the course, the participants will be able to ideate and design their own data products and transform a business intelligence report or data science model into a web service.

Take note that this course will end on November 30, 2024, at 11:59 PM.

Excel spreadsheet is one of the most vital pieces of software used in workplaces. This course will help you learn the essentials of Microsoft Excel, which you may use in performing calculations, creating visualizations, and formatting spreadsheets. The course will impart skills in operating and navigating the Excel software thereby using it for better efficiency and productivity.

Take note that this course will end on November 7, 2024, at 11:59 PM.

Python is a general-purpose programming language which enables users to do multiple tasks (e.g. create web applications, scrape web data, make machine learning algorithms), but its written syntax is laid out in a simple and understandable way, making it easy for beginners to pick it up. In this course, fundamental computing concepts such as variables, data types, conditionals, loops, functions, objects, and use of popular data science libraries are discussed. These building blocks will enable participants to create simple applications using Python to help solve data and analytics problems. Python is a general-purpose programming language which enables users to do multiple tasks (e.g. create web applications, scrape web data, make machine learning algorithms), but its written syntax is laid out in a simple and understandable way, making it easy for beginners to pick it up. In this course, fundamental computing concepts such as variables, data types, conditionals, loops, functions, objects, and the use of popular data science libraries are discussed. These building blocks will enable participants to create simple applications using Python to help solve data and analytics problems.

Take note that this course will end on November 10, 2024, at 11:59 PM.

SQL is the standard language for relational database management systems and is widely used in data mining and processing. As businesses use data in tracking everything, leverage in data will enable business to better understand its operations and derive sound business decisions. This course provides foundation knowledge on SQL programming, which may be used in metrics calculation, data analytics, and report production.

“Data is the new oil” in this digital economy where every work necessitates the need for data and data governance. The concepts, principles, framework, policy environment, challenges, success factors, and data governance application in the enterprise world are covered in this course. Corresponding video lessons or tutorials, lectures, and assessments are made available for a more engaging learning experience.

Take note that this course will end on November 7, 2024, at 11:59 PM.

This course covers the subject of data visualization or bringing data to life for audiences. It approaches this subject by first exploring the different types of data stories, and then going over the charts and graphs that are most appropriate to each type of story. This is followed by an overview of general design principles that aim to make the chosen forms of visualizations more effective tools for communicating data. Finally, the course discusses principles of data visualization ethics as part of a general framework of data integrity.

Take note that this course will end on November 7, 2024, 11:59 PM.

In this course, you will learn how to analyze through data visualization using the applications Tableau and Jupyter Notebook. Data visualization is best learned by doing it, so this course features hands-on lessons you can follow.
You should complete the Introduction to Data Visualization course to learn the principles of visualization. In this course, we jump straight into conducting data analysis. Although the course mentions Python, you don’t need to know Python. However, you need a basic understanding of programming and program logic.

Take note that this course will end on November 10, 2024, at 11:59 PM.