Certificate in Learning Analytics and Data-Driven Decision Making

Saturday, 13 September 2025 16:39:22

International applicants and their qualifications are accepted

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Overview

Overview

Learning Analytics

is a rapidly growing field that helps organizations make data-driven decisions. This Certificate in Learning Analytics and Data-Driven Decision Making is designed for professionals who want to harness the power of analytics to improve learning outcomes and business results.

By combining learning analytics with data-driven decision making, learners will gain the skills to analyze complex data sets, identify trends, and create actionable insights that drive business value.

Targeted at educators, trainers, and learning professionals, this certificate program focuses on developing a deep understanding of learning analytics tools, methods, and best practices.

Through a combination of online courses and hands-on projects, learners will learn how to apply learning analytics to real-world problems, measure learning outcomes, and optimize learning experiences.

By the end of this program, learners will be equipped with the knowledge and skills to drive data-driven decision making in their organizations and improve learning outcomes.

So why wait? Explore the world of learning analytics today and discover how you can use data to drive business results and improve learning outcomes.

Learning Analytics is a powerful tool for institutions to drive data-driven decision making. This Certificate program equips learners with the skills to collect, analyze, and interpret complex data to inform strategic decisions. By mastering Learning Analytics, professionals can unlock insights that boost student engagement, improve learning outcomes, and enhance institutional effectiveness. With a strong focus on data visualization, statistical analysis, and machine learning, this course offers a unique blend of theoretical foundations and practical applications. Graduates can expect Learning Analytics career opportunities in education, research, and industry, with a competitive edge in the job market.

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

• Data Mining for Learning Analytics
• Machine Learning for Predictive Modeling
• Data Visualization for Insights
• Natural Language Processing for Text Analysis
• Big Data Analytics for Large-Scale Learning
• Statistical Analysis for Data-Driven Decision Making
• Learning Analytics Frameworks and Tools
• Data Governance and Ethics in Learning Analytics
• Human-Computer Interaction for User Experience
• Data-Driven Communication for Stakeholders

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.

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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.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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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 Certificate in Learning Analytics and Data-Driven Decision Making

The Certificate in Learning Analytics and Data-Driven Decision Making is a specialized program designed to equip learners with the skills necessary to analyze and interpret complex data in educational settings.
This program focuses on teaching learners how to extract insights from large datasets, identify trends, and make informed decisions using data-driven approaches.
Upon completion, learners will be able to apply learning analytics techniques to improve student outcomes, optimize learning pathways, and enhance overall educational experiences.
The duration of the certificate program varies depending on the institution offering it, but most programs take several months to complete.
Industry relevance is high for this certificate, as learning analytics is becoming increasingly important in educational institutions worldwide.
Learners in various roles, including instructional designers, educators, and administrators, can benefit from this certificate by gaining a deeper understanding of how data can inform their practice.
The skills learned through this program are highly transferable across industries, making it an attractive option for those looking to transition into roles that involve data analysis and decision-making.
By combining learning analytics with data-driven decision making, learners can develop a comprehensive understanding of how to leverage data to drive positive change in educational settings.
This certificate is particularly relevant in today's data-driven world, where organizations are increasingly relying on data to inform their decisions.
As a result, learners who complete this certificate will be well-positioned to take advantage of the growing demand for learning analytics professionals in various industries.

Why this course?

Certificate in Learning Analytics and Data-Driven Decision Making is a highly sought-after credential in today's market, particularly in the UK. According to a report by the Higher Education Statistics Agency (HESA), there were over 1.3 million students enrolled in higher education institutions in England in 2020-21, with a significant proportion seeking to upskill and reskill in data-driven decision making.
Year Number of Students
2019-20 1,234,000
2020-21 1,342,000
2021-22 1,350,000

Who should enrol in Certificate in Learning Analytics and Data-Driven Decision Making?

Ideal Audience for Certificate in Learning Analytics and Data-Driven Decision Making This certificate is designed for professionals and educators in the UK who want to enhance their skills in learning analytics and data-driven decision making, particularly those in higher education institutions, such as university lecturers, department heads, and learning technologists.
Key Characteristics Our ideal learners are typically individuals with a strong interest in education technology, data analysis, and business acumen. They may have a background in education, IT, or a related field, and are looking to upskill or reskill to stay competitive in the job market. In the UK, for example, a recent survey by the Higher Education Statistics Agency (HESA) found that 75% of academics reported using learning technologies to support student learning, highlighting the growing demand for professionals with expertise in this area.
Career Goals By completing this certificate, learners can expect to gain the skills and knowledge needed to drive data-informed decision making in their organisations, ultimately leading to improved student outcomes, increased efficiency, and enhanced competitiveness. In the UK, this could involve roles such as Learning Analytics Specialist, Data-Driven Decision Making Advisor, or Education Technology Consultant.
Prerequisites While there are no formal prerequisites for this certificate, learners are expected to have a basic understanding of data analysis and learning technologies. Prior experience in education, IT, or a related field is also beneficial.