Graduate Certificate in Predictive Analytics for Education Evaluation

Saturday, 14 February 2026 07:09:04

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

Predictive Analytics for Education Evaluation


Unlock the power of data-driven decision making in education with our Graduate Certificate in Predictive Analytics for Education Evaluation. This program is designed for educators, policymakers, and researchers who want to harness the potential of predictive analytics to improve student outcomes and educational policy.

By combining statistical modeling, machine learning, and data visualization techniques, you'll learn to analyze complex education data and identify trends, patterns, and correlations that inform evidence-based practice.


Gain expertise in predictive modeling, data mining, and data visualization to drive data-informed decision making in education. Our program is perfect for those looking to advance their careers or transition into new roles in education research, policy, or practice.

Take the first step towards a data-driven future in education. Explore our Graduate Certificate in Predictive Analytics for Education Evaluation and discover how predictive analytics can transform the way we evaluate and improve education.

Predictive Analytics for Education Evaluation is a game-changing course that empowers educators and policymakers with data-driven insights to optimize educational outcomes. By leveraging advanced statistical models and machine learning algorithms, participants will gain the skills to analyze complex data sets and identify areas for improvement. With Predictive Analytics for Education Evaluation, you'll unlock career prospects in education research, policy development, and data-driven decision making. Unique features include real-world case studies, collaborative project work, and access to industry-standard software. Enhance your career with Predictive Analytics for Education Evaluation and drive meaningful change in education.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

•
Statistical Analysis for Education Evaluation •
Predictive Modeling in Education •
Data Mining Techniques for Educational Research •
Machine Learning Algorithms for Student Performance Prediction •
Educational Data Warehousing and Business Intelligence •
Quantitative Research Methods in Education •
Qualitative Research Methods in Education Evaluation •
Data Visualization for Educational Insights •
Survey Design and Methodology for Educational Research •
Ethics in Predictive Analytics for Education Evaluation

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

Start Now

Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

Start Now

  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
  • Start Now
    •

Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Graduate Certificate in Predictive Analytics for Education Evaluation

The Graduate Certificate in Predictive Analytics for Education Evaluation is a specialized program designed to equip students with the skills and knowledge necessary to analyze complex data and make informed decisions in educational settings.
This program focuses on the application of predictive analytics techniques to evaluate educational programs, policies, and interventions, with an emphasis on data-driven decision making.
Upon completion of the program, students will be able to analyze large datasets, identify trends and patterns, and develop predictive models to inform educational evaluation and improvement efforts.
The program covers a range of topics, including data mining, machine learning, and statistical modeling, as well as the application of these techniques to real-world educational scenarios.
The Graduate Certificate in Predictive Analytics for Education Evaluation is typically completed in 6-12 months and consists of 4-6 courses, depending on the institution and location.
The program is designed to be flexible and can be completed online or on-campus, making it accessible to working professionals and students who need to balance academic responsibilities with other commitments.
The skills and knowledge gained through this program are highly relevant to the education sector, where data-driven decision making is becoming increasingly important for improving student outcomes and program effectiveness.
Graduates of the Graduate Certificate in Predictive Analytics for Education Evaluation can pursue careers in educational research, policy analysis, program evaluation, and data-driven decision making, among other roles.
The program is also relevant to the broader field of education technology, where predictive analytics is being used to personalize learning, improve student engagement, and enhance overall educational outcomes.
Overall, the Graduate Certificate in Predictive Analytics for Education Evaluation provides students with a unique combination of technical skills and practical knowledge that can be applied to real-world educational challenges.

Why this course?

Graduate Certificate in Predictive Analytics for Education Evaluation holds immense significance in today's market, particularly in the UK. According to a report by the UK's Office for National Statistics (ONS), the education sector is expected to undergo significant changes in the next five years, driven by technological advancements and shifting student needs.
Year Number of Students
2018 2,500,000
2019 2,600,000
2020 2,700,000
2021 2,800,000
2022 2,900,000

Who should enrol in Graduate Certificate in Predictive Analytics for Education Evaluation ?

Primary Keyword: Predictive Analytics Ideal Audience
Education professionals seeking to enhance their skills in data-driven decision making, particularly those in the UK, where 70% of schools use data to inform their teaching practices. Individuals with a background in education, such as teachers, headteachers, and education policy makers, who want to stay up-to-date with the latest methods and techniques in predictive analytics.
Researchers and academics studying education, who wish to apply their knowledge of educational psychology and sociology to real-world problems using predictive analytics. Anyone interested in using data to improve student outcomes, such as policymakers, school administrators, and education consultants.
Those with a basic understanding of statistics and data analysis, but no prior experience in predictive analytics, will find this course an excellent starting point for their career in education evaluation. The course is designed to be accessible to learners from diverse backgrounds, including those with limited technical expertise, making it an ideal choice for those looking to upskill or reskill in the field of predictive analytics for education evaluation.