Predictive Analytics for Learning Qualification

Tuesday, 10 February 2026 19:21:10

International Students can apply

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Predictive Analytics for Learning Qualification

Overview

Predictive Analytics for Learning Qualification


This course is designed for educators and instructional designers seeking to enhance student outcomes through data-driven decision-making. Learn how to leverage predictive analytics to identify at-risk students, personalize learning experiences, and improve overall academic performance. Explore key concepts such as data mining, machine learning, and predictive modeling in an educational context. Gain practical skills to implement predictive analytics tools and strategies in your own teaching practice. Join us on this transformative journey towards creating more effective and personalized learning environments.


Enroll now and unlock the power of predictive analytics in education!

Predictive Analytics for Learning Qualification is a cutting-edge course that equips you with the skills to revolutionize the education sector. By harnessing the power of data, you will learn to predict student performance, personalize learning experiences, and optimize educational outcomes. This course offers hands-on experience with industry-leading tools and techniques, making you highly sought after in the job market. With a qualification in predictive analytics for learning, you can pursue lucrative career opportunities as a data analyst, educational consultant, or learning strategist. Don't miss this chance to stay ahead of the curve and make a meaningful impact in the field of education. (18)

Entry requirements




International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

• Data Collection and Cleaning
• Data Exploration and Visualization
• Feature Engineering
• Model Selection and Evaluation
• Hyperparameter Tuning
• Model Deployment
• Monitoring and Maintenance
• Interpretation and Communication of Results
• Ethics and Bias in Predictive Analytics
• Case Studies and Practical Applications

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

6 months: GBP £1250
9 months: GBP £950
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

6 months - GBP £1250

9 months - GBP £950

40% Cheaper

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

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Accreditation

 Awarded by an OfQual regulated awarding body

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  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Opportunity Description
Predictive Analytics Specialist Utilize data analysis and statistical modeling to predict future trends and outcomes in learning environments.
Educational Data Analyst Analyze educational data to identify patterns and trends that can improve learning outcomes and student performance.
Learning Experience Designer Design personalized learning experiences based on predictive analytics to enhance student engagement and success.
Instructional Technology Consultant Provide guidance on integrating predictive analytics tools into instructional technology to optimize learning processes.
E-Learning Content Developer Create data-driven e-learning content tailored to individual learner needs using predictive analytics insights.

Key facts about Predictive Analytics for Learning Qualification

Predictive Analytics for Learning Qualification is a comprehensive program designed to equip individuals with the skills and knowledge needed to leverage data analytics in the field of education. Participants will learn how to use predictive modeling techniques to forecast student performance, identify at-risk students, and improve learning outcomes. The course covers topics such as data collection, data preprocessing, model building, and evaluation.
The duration of the Predictive Analytics for Learning Qualification program typically ranges from a few weeks to a few months, depending on the institution offering the course and the mode of delivery. Participants can expect to engage in a combination of lectures, hands-on exercises, case studies, and projects to apply their learning in real-world scenarios.
This qualification is highly relevant to professionals working in the education sector, including teachers, administrators, curriculum developers, and policymakers. By mastering predictive analytics techniques, individuals can make data-driven decisions to enhance student learning experiences, optimize educational resources, and improve overall educational outcomes. The skills acquired in this program are also valuable for professionals in related fields such as e-learning, training, and development.
Overall, Predictive Analytics for Learning Qualification provides a solid foundation in data analytics specifically tailored to the education domain. Graduates of this program will be well-equipped to harness the power of data to drive positive changes in educational settings and contribute to the advancement of learning and teaching practices.

Why this course?

Predictive Analytics for Learning Qualification is becoming increasingly important in today's market as organizations seek to make data-driven decisions to improve learning outcomes. In the UK, the use of predictive analytics in education has been steadily increasing, with 72% of universities and colleges now using some form of predictive analytics to enhance student success. According to a recent study by Jisc, a UK higher education and technology organization, predictive analytics can help institutions identify at-risk students early on and provide targeted interventions to support their learning journey. This not only improves student retention rates but also ensures that learners receive the necessary support to succeed in their qualifications. In the current competitive job market, having a recognized qualification is essential for career advancement. Predictive analytics can help learners identify the most in-demand qualifications and skills in their industry, allowing them to make informed decisions about their learning path. By analyzing market trends and employer demands, learners can ensure that they are acquiring the right qualifications to stay competitive in their field. Overall, predictive analytics for learning qualification is a valuable tool for both learners and professionals, helping them make informed decisions about their education and career paths in today's rapidly changing market.
Percentage of UK universities and colleges using predictive analytics 72%

Who should enrol in Predictive Analytics for Learning Qualification?

The ideal audience for Predictive Analytics for Learning Qualification are individuals interested in advancing their career in data analysis and education.
This qualification is perfect for data enthusiasts looking to specialize in educational data analysis and predictive modeling.
With the demand for data analysts in the UK expected to grow by 19% by 2024, this course is ideal for those seeking to capitalize on this trend.
Whether you are a teacher looking to enhance your data analysis skills or a professional aiming to transition into the education sector, this qualification is tailored for you.