Educational Data Science Management and Policy E-Learning & Certification: Educational records and standardized tests are a treasure trove of data about who our students are. And they provide what they need to the education system. Data science can help educators gain valuable insights from this deluge of information. In this short course, data scientist and professor Barton Paulson provides a non-technical overview of how data science is changing. And it is about how to plan, implement and evaluate education, compared to traditional research methods. This course is designed for aspiring and working teachers, parents, administrators, and anyone affected by the changing pace of our times. It helps you to understand how the principles and methods of data science help to better understand and educate our citizens. Learn how data science enables educators to create meaningful curricula, assess the impact of their progress, and more. Information is the vital stream of higher education institutions. <a style="color: #ff6600;" href="https://iranelearn.com/pro/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%ac%d8%a7%d8%b2 %db%8c-%d9%85%d8%af%db%8c%d8%b1%db%8c%d8%aa-%d8%b3%db%8c%d8%a7%d8%b3%d8%aa Information is one of the organizational resources and needs to be managed. Good and high-quality information improves decision-making, improves efficiency, and enables organizations to gain competitive advantages. Many organizations are continuously looking for solutions to effectively manage information in their internal and external environments. Many higher education institutions are finding that efficient and effective information management is critical to their future success. Due to the centrality of data, information and knowledge in the work of the university, each of the main elements is simultaneously a producer and user of information.  

Data collection strategies according to the organization’s working documents are as follows:

 Carefully determine the information needs of senior managers at different levels of the education system and stakeholders.  Data collection strategies should include administrators, instructors, and other appropriate stakeholders.  Ensure easy data collection and synergy between census forms and records maintained.  Ensure appropriate controls are in place by reviewing the use of financial incentives for data collection.  

Each of the custodians of the data must be aware of and follow these principles:

1. The university owns all the data beyond any individual or professional unit (Business). 2. Each of the data sources must have a defined responsible custodian. 3. The best activities for the implementation of educational information management systems should be used. 4. EMIS data must meet the needs of the educational planning and budgeting cycle. 5. The efficiency of the university information system is affected by its organizational health.   Prerequisites of the E-Learning & Certification course on educational data science management and policy: + This course requires special prerequisites for training .