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.
Take note that the course will end on November 7, 2024, 11:59 PM.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.
This course builds on the prerequisite course on Data Visualization Fundamentals by combining effective data visuals into a wider strategy of effective communication and presentation of data. In this course, the participants will be equipped with the tools to capture the attention of audiences, build up excitement about the data, and facilitate these with a combination of visuals and presentation skills. The course includes an overview of data storytelling, a breakdown of the key elements of a data story, a primer on data visualization and its best practices, a detailed study of the presentation components of a data story, and finally, a primer on data storytelling ethics.
Take note that this course will end on November 14, 2024, at 11:59 PM.
This course deals with manipulating and transforming data with SQL with the objective of making data ready for analysis and reporting. Through videos and hands-on exercises, participants will learn how to cleanse data and how to deal with missing data using SQL. Participants will also learn the differences between an operational and an analytical database schema, and how to move data from the former to the latter.
Take note that this course will end on November 10, 2024 at 11:59 PM.
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.
Research is oftentimes necessary to expand knowledge of specific topics or areas, or to improve understanding of and solve business or management problems. This course provides foundational understanding and essential knowledge about research, including research process, language, and ethics. Focusing on data-driven research, this course uses a case-study method to tackle topics such as research design, sampling, data collection, data preparation, qualitative and quantitative analyses, and reporting.
Take note that the course will end on November 10, 2024, at 11:59 PM.
Take note of the following end dates for this course:
- Deadline for submissions: September 27, 2023, 11:59 PM
- Closing of peer assessment: October 1, 2023, 11:59 PM
- End of course: October 4, 2023, 11:59 PM
This course deals with the tools available in the big data ecosystem for extraction, transformation, and loading (ETL), data pipelines, and data storage. This enables participants to use more sophisticated ways to deal with data that has outgrown custom-made Python and SQL scripts. Using videos and hands-on exercises, participants will be exposed to different methods for managing and streaming data, in preparation for business intelligence reporting, analytics, and modeling.
Take note that this course will end on November 10, 2024 at 11:59 PM.
Statistics transforms data into meaningful information, enabling organizations to make better decisions and predictions. Hence, it is a valuable skill to learn in business or academia. This course will teach participants how to perform the most important and commonly used analytics and modeling techniques in Excel. Topics covered include descriptive, diagnostic, predictive, and prescriptive analytics. Participants will be trained using a case-based approach with either real or simulated data sets, to solidify their knowledge so they can apply the techniques that they have learned to their own work.
Take note that this course will end on November 10, 2024, at 11:59 PM.
SQL is a dominant data analysis language since data are usually available in a structured, database format. Most analysis involve a lot of filtering, grouping, sorting, and aggregation, for which SQL is quite handy to use. Python, on the other hand, has well-known libraries, specially designed for data analysis and statistical modeling. This course teaches how to perform descriptive, diagnostic, and predictive analytics using functions, procedures, and best practices in both SQL and Python. Combining the use of SQL to retrieve and process the essential data for analysis, together with the use of specialized Python libraries for more complex data manipulation, analysis, and modeling is also discussed.
Take note that this course will end on November 10, 2024, 11:59 PM
Data science and machine learning are achieved through complex algorithms and techniques. It generates various insights that can be used for several business purposes. Python, being a programming language known to have simple syntax and to integrate well in environments of production systems of organizations, is a powerful tool in performing data science and machine learning. This course provides immediately applicable skills in using Python to implement data science and machine learning algorithms. The focus is on the application of the most actionable analytical techniques in addressing the most common business problems.
Take note that the course will end on November 10, 2024, 11:59 PM.
Deep Learning is a more advanced implementation of machine learning. By having knowledge in deep learning, data scientists may accomplish complex machine learning tasks including artificial intelligence that may provide deep levels of perceptual recognition. This course equips participants with practical knowledge in Deep Learning using Python. The course covers widely used Python libraries useful in efficiently performing Deep Learning, together with various scenarios and algorithms that go along with it."
Take note that this course will end on November 30, 2024, at 11:59 PM.
To create relevant and meaningful data-driven solutions for the country, this course intends to introduce a human-centered approach in solving problems, that is, Design Thinking. Using the available online materials, discussion boards, and webinars, the course offers learners a detailed discussion of the Design Thinking framework which is composed of modes, methods, and mindsets. The course zooms in on the Empathize and Define modes for learners to effectively scope the needs of the intended audience for their Analytics projects and to properly frame the right problem to solve for the same intended audience. The course also details the mindsets that learners need to develop to conduct Design Thinking. The ultimate goal is for the learners to effectively scope and frame Analytics projects that are not just data-driven but also human-centered.
Take note that this course will end on November 4, 2024, at 11:59 PM.