Course Overview:
This 5-day training course introduces educators to advanced data analytics and visualization techniques. Participants will learn how to analyze and interpret educational data, create visual representations, and use insights to inform decision-making in teaching and administration.
Course Duration:
5 days
Target Audience:
- Educators and school administrators
- Curriculum developers
- Educational technology specialists
- Data analysts in education
Personal Impact:
- Gain expertise in analyzing educational data for informed decision-making.
- Learn to use advanced tools to visualize data and present insights effectively.
- Improve your ability to track student progress and evaluate educational outcomes.
- Develop practical skills in data-driven teaching and curriculum development.
Organizational Impact:
- Foster a data-driven culture in schools for continuous improvement.
- Improve the tracking of student progress and the evaluation of teaching strategies.
- Support data-informed decision-making in curriculum planning and administration.
- Enhance the school’s ability to address student needs using data insights.
Course Level:
Course Objectives:
- To introduce participants to advanced data analytics in education.
- To teach educators how to interpret and visualize data for improved outcomes.
- To develop skills in using data analytics tools and platforms.
- To equip participants with strategies for data-driven decision-making in teaching.
Course Outline:
Module 1: Introduction to Data Analytics in Education
- Overview of data analytics concepts and their importance in education
- Key tools and platforms for analyzing educational data
- Case Study: Data analytics in improving student outcomes
Module 2: Analyzing Educational Data
- Techniques for collecting, organizing, and analyzing student data
- Using data to track progress, identify trends, and inform decisions
- Real-Life Project: Analyzing a dataset to evaluate student performance
Module 3: Data Visualization for Educators
- Best practices for creating visual representations of educational data
- Tools and platforms for data visualization (e.g., Google Data Studio, Tableau)
- Case Study: Effective use of data visualization in decision-making
Module 4: Using Data to Inform Teaching and Curriculum Development
- Strategies for data-driven teaching and lesson planning
- Using data insights to improve curriculum and student engagement
- Real-Life Project: Implementing a data-driven improvement plan for a course
Module 5: The Future of Data Analytics in Education
- Advanced trends and tools in educational data analytics
- Predictive analytics and AI for personalized learning
- Case Study: Building a data-driven culture in schools
Related Courses
Course Administration Details:
METHODOLOGY
The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
ACCREDITATION
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
TRAINING VENUE
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
ACCOMMODATION AND AIRPORT PICKUP
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
TAILOR-MADE
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
PAYMENT
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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