Certificate Programme in Data Science for Recommendations

Saturday, 13 September 2025 05:00:23

International applicants and their qualifications are accepted

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Overview

Overview

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Data Science for Recommendations: This certificate program equips you with the skills to build powerful recommendation systems. It's ideal for data analysts, software engineers, and marketing professionals.


Learn to leverage machine learning algorithms like collaborative filtering and content-based filtering. Master data mining techniques and big data processing using tools like Python and Spark. This Data Science for Recommendations program focuses on practical application.


Develop personalized recommendation engines for e-commerce, entertainment, and other industries. Gain valuable expertise in data visualization and A/B testing. This Data Science program is designed for a fast-paced learning environment.


Enhance your career prospects and become a sought-after expert. Explore the program details and enroll today!

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Data Science for Recommendations: Master the art of personalized experiences! This certificate program equips you with machine learning and predictive modeling skills to build robust recommendation systems. Gain hands-on experience with real-world datasets and cutting-edge techniques. Boost your career prospects in high-demand fields like e-commerce, entertainment, and advertising. Our unique curriculum emphasizes collaborative projects and industry-relevant case studies, ensuring you're job-ready upon completion. Become a Data Science expert in building effective recommendation systems and transform data into actionable insights. The Data Science program guarantees a strong return on your investment.

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 & Data Science
• Data Wrangling and Preprocessing for Recommendation Engines
• Collaborative Filtering Techniques (including Matrix Factorization)
• Content-Based Filtering and Hybrid Approaches
• Evaluation Metrics for Recommender Systems (Precision, Recall, NDCG)
• Building Recommendation Systems with Python and relevant libraries (e.g., scikit-learn, Surprise)
• Deploying Recommendation Systems (consider Cloud platforms and APIs)
• Case Studies in Recommender Systems and Real-world Applications
• Advanced Topics in Recommender Systems: Deep Learning for 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

Data Science Job Market Trends in the UK

Career Role Description
Data Scientist Develops and implements algorithms for data analysis, machine learning, and predictive modeling. High demand, excellent salary prospects.
Data Analyst Collects, cleans, and interprets data to identify trends and insights. Strong foundation in data analysis techniques required.
Machine Learning Engineer Designs, builds, and deploys machine learning models into production systems. Key skills include Python, TensorFlow, and PyTorch.
Business Intelligence Analyst Analyzes business data to improve decision-making and strategic planning. Understanding of business processes is essential.
Data Engineer Builds and maintains data infrastructure, including data pipelines and databases. Experience with cloud platforms (AWS, Azure, GCP) is advantageous.

Key facts about Certificate Programme in Data Science for Recommendations

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This Certificate Programme in Data Science for Recommendations equips participants with the skills to build and deploy robust recommendation systems. You'll learn to leverage various machine learning algorithms and data mining techniques.


Key learning outcomes include mastering collaborative filtering, content-based filtering, and hybrid approaches. Participants will gain hands-on experience with popular data science tools like Python, and develop a strong understanding of A/B testing and model evaluation metrics relevant to recommendation systems. This practical approach ensures immediate applicability to real-world scenarios.


The programme's duration is typically flexible, allowing participants to complete the coursework at their own pace, balancing their professional commitments with learning. However, a typical completion time might be within a few months, depending on individual learning speed and time dedicated to the course.


This Certificate Programme in Data Science for Recommendations is highly relevant to numerous industries. From e-commerce and entertainment to finance and healthcare, businesses across various sectors utilize recommendation systems to enhance customer experiences and drive revenue. Graduates will be well-positioned for roles in data science, machine learning engineering, and business analytics, adding significant value to their professional profiles. Expect to improve your skills in big data analysis and predictive modelling which are critical for this sector.


The curriculum incorporates case studies and real-world projects, providing students with practical experience in building effective recommendation systems, enhancing their employability in the competitive job market for data professionals. The use of statistical modelling is crucial in this program.

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Why this course?

Certificate Programme in Data Science is increasingly significant in the UK job market. The demand for data science professionals is booming, reflecting the growing reliance on data-driven decision-making across industries. According to a recent study, the UK's data science job market experienced a 35% increase in vacancies over the last year, with salaries significantly above the national average. This surge highlights the immediate value of a data science certificate, providing professionals with the in-demand skills to navigate this competitive landscape and leverage opportunities in recommendation systems and machine learning.

Skill Demand
Machine Learning High
Data Visualization High
Recommendation Systems Very High

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

Ideal Candidate Profile Skills & Experience Career Aspirations
Marketing Professionals Experience in marketing analytics, familiarity with CRM systems, basic data analysis skills. The UK's digital marketing sector is booming, with significant demand for data-driven strategies. Advance their career into data science roles, improve campaign effectiveness with advanced recommendation systems, leverage data for personalized customer experiences.
Business Analysts Strong analytical abilities, experience with business intelligence tools, understanding of business processes. According to [insert UK statistic source here, e.g., ONS], data analysis is a rapidly growing field in the UK. Enhance analytical capabilities with machine learning techniques, build sophisticated recommendation engines, transition into data science or data engineering.
Software Developers Programming experience (Python, R etc.), familiarity with databases and APIs. The demand for skilled software developers with data science expertise is high in the UK tech industry. Develop data-driven applications, create personalized user experiences, build robust and scalable recommendation systems.