Professional Certificate in Data Science for Recommendations

Wednesday, 24 September 2025 04:17:17

International applicants and their qualifications are accepted

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Overview

Overview

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Data Science for Recommendations is a professional certificate designed for aspiring data scientists and analysts.


Learn to build recommendation systems using cutting-edge techniques. Master machine learning algorithms and collaborative filtering.


This program covers data mining, model evaluation, and deployment strategies for effective recommendations. Gain practical skills in Python and popular libraries.


The Data Science for Recommendations certificate boosts your career prospects in e-commerce, entertainment, and more.


Enroll today and transform your data skills into a rewarding career in recommendation systems. Explore the program details now!

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Data Science for Recommendations: This professional certificate program equips you with in-demand skills in recommendation systems, machine learning, and data analysis. Master collaborative filtering, content-based filtering, and hybrid approaches. Gain hands-on experience building and deploying powerful recommendation engines. Boost your career prospects in tech, e-commerce, and beyond. This unique program features real-world case studies and expert instructors, providing a practical and results-oriented learning experience. Acquire the expertise to build impactful recommendation systems and elevate your data science career.

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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

• Introduction to Recommender Systems & Collaborative Filtering
• Content-Based Filtering and Hybrid Approaches
• Evaluation Metrics for Recommendation Engines (Precision, Recall, NDCG)
• Building a Recommendation System using Python and Popular Libraries (e.g., scikit-learn, surprise)
• Advanced Recommender Systems: Deep Learning for Recommendations
• Handling Cold Start and Sparsity Problems
• Deployment and Scalability of Recommendation Systems
• Case Studies in Recommendation System Applications (e.g., E-commerce, Movies)
• A/B Testing and Experiment Design for Recommender Systems
• Ethical Considerations in Recommender Systems (Bias, Fairness, Transparency)

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

Career Role (Data Science) Description
Data Scientist Develops and implements machine learning algorithms for predictive modeling, leveraging large datasets to extract valuable insights. High demand in UK tech and finance.
Machine Learning Engineer Designs, builds, and deploys machine learning models into production systems. Strong Python & cloud computing skills are essential.
Data Analyst Analyzes data to identify trends and patterns, providing actionable insights to support business decisions. Growing demand across various sectors.
Business Intelligence Analyst Transforms raw data into meaningful business intelligence reports. Crucial for data-driven decision-making. Excellent SQL and visualization skills needed.

Key facts about Professional Certificate in Data Science for Recommendations

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A Professional Certificate in Data Science for Recommendations equips you with the skills to build and deploy sophisticated recommendation systems. You'll gain hands-on experience with cutting-edge techniques in machine learning and data mining, crucial for personalized experiences across various industries.


Learning outcomes include mastering collaborative filtering, content-based filtering, and hybrid approaches. You'll also learn to evaluate recommendation system performance using metrics like precision and recall, and effectively visualize results for actionable insights. Expect to develop proficiency in relevant programming languages like Python, working with libraries such as Pandas, NumPy, and Scikit-learn.


The program's duration typically ranges from several weeks to a few months, depending on the intensity and specific curriculum. The flexible online format allows for self-paced learning, accommodating busy professionals seeking to upskill or transition into data science careers.


Industry relevance is paramount. This certificate directly addresses the high demand for data scientists specializing in recommendation systems. Graduates are well-prepared for roles in e-commerce, entertainment, advertising, and numerous other sectors that leverage personalized recommendations to enhance user engagement and drive business growth. The program often integrates real-world case studies and projects to provide practical application of learned concepts in big data and predictive modeling.


The program focuses on practical application, ensuring you're prepared to contribute immediately to organizations relying on data-driven decision making and advanced analytics to personalize user experiences.

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Why this course?

A Professional Certificate in Data Science is increasingly significant in today's UK job market. The demand for data science professionals is booming, reflecting the growing reliance on data-driven decision-making across various sectors. According to a recent report by the UK government's Office for National Statistics, the number of data science roles increased by 35% in the past three years. This surge highlights the immediate and long-term career benefits of acquiring a data science qualification. Further emphasizing this trend, a separate study by Tech Nation reveals that the UK tech sector contributed £184 billion to the economy in 2022, and data science plays a crucial role within this contribution. This growth necessitates skilled professionals capable of handling large datasets and extracting valuable insights, making a data science certificate a highly sought-after credential.

Year Data Science Job Growth (%)
2020-2023 35%

Who should enrol in Professional Certificate in Data Science for Recommendations?

Ideal Audience for our Professional Certificate in Data Science for Recommendations
This Data Science certificate is perfect for professionals seeking to master recommendation systems. Are you a data analyst aiming to enhance your skillset with advanced machine learning techniques like collaborative filtering and content-based filtering? Or perhaps you're a software engineer looking to build robust and scalable recommendation engines, improving user engagement and personalization? With the UK tech sector booming and a growing demand for data scientists (Source: *insert relevant UK statistic on data science job growth here*), this certificate will boost your career prospects. It's also ideal for those with a background in statistics, mathematics, or computer science who want to specialize in this high-demand area of data science. Develop your expertise in machine learning, data mining, and building practical recommendation systems that drive business value.