Duration
The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
Course fee
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Certified Specialist Programme in Data-driven Student Performance
Designed for educators seeking to enhance data analysis skills and improve student outcomes, this programme focuses on leveraging data to drive student performance in educational settings. Participants will learn advanced data analytics techniques and best practices in educational data management to make informed decisions and implement targeted interventions. Ideal for teachers, school administrators, and education professionals looking to optimize educational practices through data-driven insights. Take the next step in your professional development and transform student outcomes with the Certified Specialist Programme in Data-driven Student Performance.
Start your learning journey today!
Data-driven Student Performance Specialist Programme offers comprehensive training in data analysis skills and machine learning training. Participants will gain hands-on experience through real-world projects and develop practical skills to improve student outcomes. This self-paced course is designed for educators and administrators looking to harness the power of data to enhance student performance. With a focus on data-driven decision-making and predictive analytics, graduates will be equipped to drive meaningful change in educational settings. Elevate your career with the Certified Specialist Programme in Data-driven Student Performance and unlock new opportunities in the field of education.The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
The Certified Specialist Programme in Data-driven Student Performance is designed to equip participants with the necessary skills to analyze student performance data effectively. By mastering techniques such as data visualization, statistical analysis, and predictive modeling, students will be able to make informed decisions to enhance educational outcomes.
This programme has a duration of 10 weeks and is self-paced, allowing participants to balance their studies with other commitments. Through hands-on projects and real-world case studies, students will gain practical experience in applying data-driven strategies to improve student performance.
Aligned with current trends in education and technology, this programme focuses on leveraging data analytics to drive student success. By understanding how to collect, analyze, and interpret student data, participants will be better equipped to address educational challenges and implement evidence-based interventions.
| Year | Number of Students Certified |
|---|---|
| 2020 | 500 |
| 2021 | 750 |
| 2022 | 1000 |