Postgraduate Certificate in Using Data to Identify At-Risk Students

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Data drives effective student support. This Postgraduate Certificate equips educators and support staff with the skills to identify at-risk students using powerful data analysis techniques.

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About this course

Learn to leverage student information systems, predictive modeling, and visualization tools. Develop strategies for early intervention and personalized learning. Improve student retention and academic success. Gain practical experience through real-world case studies and data projects. Enhance your career in higher education and student support. This program is ideal for educational professionals seeking to make a positive impact. Explore the program details and transform your approach to student support today!

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Course details

• Data Mining Techniques for Educational Applications
• Statistical Modeling and Predictive Analytics in Education
• Ethical Considerations in Data Analysis for Student Support
• Data Visualization and Reporting for Stakeholders
• Using Learning Analytics to Inform Intervention Strategies
• Qualitative Data Analysis and its Integration with Quantitative Data
• Program Evaluation and Assessment using Data
• Database Management and SQL for Educational Researchers
• Case Studies in At-Risk Student Identification and Support
• Developing and Implementing Data-Driven Interventions

Career path

Career Role (Primary: Data Analyst, Secondary: Data Scientist) Description
Data Analyst - Education Sector Analyze student data to identify at-risk students and inform intervention strategies. High demand due to increasing focus on personalized learning.
Data Scientist - Higher Education Develop predictive models to forecast student success and attrition, using advanced data techniques. Excellent career progression potential.
Educational Researcher (Quantitative Methods) Conduct research using large datasets to evaluate educational programs and improve student outcomes. Growing need for evidence-based practice.
Learning Analytics Specialist Leverage data to improve learning experiences and personalize educational pathways. A rapidly expanding field with high earning potential.

Entry requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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Earn a career certificate

Sample Certificate Background
POSTGRADUATE CERTIFICATE IN USING DATA TO IDENTIFY AT-RISK STUDENTS
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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