Professional Certificate in Recommender Systems in Data Science

Thursday, 12 February 2026 13:59:45

International applicants and their qualifications are accepted

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Overview

Overview

Recommender Systems

are a crucial component of modern data science, enabling personalized experiences for users. This Professional Certificate in Recommender Systems is designed for data professionals and analysts who want to develop and implement effective recommender systems.

Learn how to design and deploy recommender systems that drive business growth and user engagement.

Some of the key topics covered in this course include: collaborative filtering, content-based filtering, matrix factorization, and deep learning-based recommender systems.

Gain practical skills in building and evaluating recommender systems using popular tools and technologies such as Python, R, and SQL.

Expand your knowledge of data science and become proficient in developing scalable and efficient recommender systems.

Take the first step towards a career in data science and recommender systems by exploring this Professional Certificate program.

Recommender Systems are revolutionizing the way we interact with data, and this Professional Certificate in Recommender Systems in Data Science is the perfect way to unlock their full potential. By mastering the art of building personalized recommendations, you'll gain a competitive edge in the job market and boost your career prospects in data science and beyond. With this course, you'll learn how to recommender systems work, from collaborative filtering to content-based filtering, and how to implement them using popular algorithms and tools. You'll also explore the unique features of recommender systems, such as cold start problems and sparsity.

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

•
Matrix Factorization •
Collaborative Filtering •
Content-Based Filtering •
Hybrid Recommender Systems •
User Modeling •
Item Modeling •
Cold Start Problem •
Sparsity and Scalability •
Diverse and Novel Recommendations •
Explainable and Interpretable Recommendations

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 Professional Certificate in Recommender Systems in Data Science

The Professional Certificate in Recommender Systems in Data Science is a comprehensive program designed to equip learners with the skills and knowledge required to build and deploy recommender systems in real-world applications.
This program focuses on the development of recommender systems using various algorithms and techniques, including collaborative filtering, content-based filtering, and hybrid approaches.
Upon completion of the program, learners will be able to design, implement, and evaluate recommender systems that provide personalized recommendations to users, driving business growth and customer engagement.
The duration of the program is typically 4-6 months, with learners completing a series of online courses and projects that culminate in a final capstone project.
The program is highly relevant to the data science industry, as recommender systems are increasingly being used in various sectors, including e-commerce, entertainment, and finance.
Learners will gain hands-on experience with popular tools and technologies, such as Python, R, and TensorFlow, and develop a deep understanding of the underlying mathematics and algorithms used in recommender systems.
The program is designed to be flexible and accessible, with learners able to complete the coursework at their own pace and on their own schedule.
Upon completion of the program, learners will receive a professional certificate in Recommender Systems in Data Science, demonstrating their expertise and commitment to the field.
The program is taught by industry experts and experienced instructors, providing learners with a unique opportunity to learn from the best in the field.
The Professional Certificate in Recommender Systems in Data Science is an excellent choice for data scientists, analysts, and business professionals looking to enhance their skills and knowledge in this rapidly growing field.
By completing this program, learners will be well-equipped to design, implement, and deploy recommender systems that drive business success and customer satisfaction.

Why this course?

Recommender Systems in Data Science have become increasingly significant in today's market, with the UK being no exception. According to Google Charts, the number of recommender systems used in e-commerce platforms in the UK has seen a significant rise, with 85% of online shoppers using some form of recommendation system to inform their purchasing decisions.
Year Number of Recommender Systems
2018 20
2019 30
2020 50
2021 80

Who should enrol in Professional Certificate in Recommender Systems in Data Science?

Recommender Systems Ideal Audience
Professionals and data scientists looking to enhance their skills in the field of data science and machine learning. Individuals with a strong foundation in statistics, mathematics, and computer science, particularly those working in the UK's thriving tech industry.
Those interested in developing personalized product recommendations, content curation, and information retrieval systems. The UK's data science job market is expected to grow by 14% annually, with recommender systems being a key area of focus, according to a report by Glassdoor.
Business analysts, marketing professionals, and IT specialists seeking to improve their skills in data-driven decision making. The demand for professionals with expertise in recommender systems is on the rise, with many UK companies investing heavily in AI-powered solutions to enhance customer experience.