Certificate of
Data Analysis and Machine Learning with Power BI
Concepts, Applications, in Education
This course provides educators and school administrators with the knowledge and tools to leverage data analytics and machine learning in education. Participants will learn how to collect, analyze, and interpret data using traditional machine learning and deep learning models to enhance teaching practices, personalize student learning, improve curriculum design, and support data-driven decision-making. The course combines theoretical knowledge with practical applications in Excel and MS Power BI, ensuring participants gain hands-on experience with data analytics tools and techniques applicable to the educational environment.
Methodology
This program incorporates an engaging mix of comprehensive lectures, thorough assessments, tangible practical insights, examples, and detailed case studies to equip participants with a robust mastery to apply machine learning and Data Analytics to enhance teaching and learning.
What You Will Learn
Understand the role of data and institutional research in enhancing educational outcomes.
- Clean, prepare, and manage real-world education datasets.
- Apply descriptive, diagnostic, predictive, and prescriptive analytics.
- Use machine learning models to predict outcomes such as retention and student success.
- Design KPIs and dashboards for management, faculty, and students.
- Awareness of ethical and legal considerations related to data use in education.
- Integrate Power BI with ML tools to build interactive dashboards.
- Translate insights into strategic decisions that improve teaching, learning, and accreditation outcomes.
Duration and Mode of Delivery
The workshop extends over a period of 7 days, featuring 3 hours each day of intensive, interactive learning sessions. It is designed to be accessible and convenient for all by offering both online and in-person attendance options. Participants will be recognized with 21 PDUs (Professional Development Units) for their commitment to professional growth upon completion of the program.
Who Should Attend
The program is suitable for the following professionals, educators, and individuals interested in harnessing the power of AI and Data Analytics within the educational setting:
Teachers: Looking to enhance their teaching practices through data-driven insights.
- Educators and Educational Technology Specialists.
- QA&IE Officers, Institutional Research Staff, and School Administrators interested in implementing educational quality and decision-making.
- Curriculum Designers: Aiming to use data to inform curriculum development.
- Education
Technology Specialists:
Focused on integrating data analytics tools in schools.
- Support
Staff:
Involved in data collection, management, and analysis.
- Anyone Interested in applying Machine Larning & Data Analytics in education.