Advanced Certificate in Applied Linear Algebra for Data Science

Friday, 06 February 2026 18:36:57

International applicants and their qualifications are accepted

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Overview

Overview

Linear Algebra for Data Science


Unlock the power of data analysis with our Advanced Certificate in Applied Linear Algebra for Data Science.


Linear algebra is a fundamental tool for data scientists, enabling them to extract insights from complex datasets. This program teaches you to apply linear algebra techniques to real-world problems in data science, machine learning, and statistics.
You'll learn about vector spaces, linear transformations, eigenvalues, and eigenvectors, as well as advanced topics like singular value decomposition and matrix factorizations.
Our program is designed for data professionals looking to enhance their skills in linear algebra and its applications. By the end of the course, you'll be able to analyze and visualize data more effectively, making informed decisions in your field.
Explore the world of linear algebra and take your data science career to the next level. Enroll in our Advanced Certificate in Applied Linear Algebra for Data Science today!

Linear Algebra is the backbone of data science, and this Advanced Certificate course will equip you with the skills to unlock its full potential. By mastering linear algebra, you'll gain a deeper understanding of data structures, machine learning algorithms, and statistical modeling. This course offers linear algebra benefits, including improved problem-solving skills, enhanced data analysis capabilities, and increased career prospects in data science and related fields. You'll also learn from industry experts and gain access to unique features such as personalized mentorship and project-based learning. With linear algebra as your foundation, you'll be well on your way to a successful career in data science.

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

• Vector Spaces
• Linear Independence
• Span and Basis
• Matrix Operations
• Determinants
• Eigenvalues and Eigenvectors
• Singular Value Decomposition (SVD)
• Principal Component Analysis (PCA)
• Linear Regression
• Gradient Descent

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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Advanced Certificate in Applied Linear Algebra for Data Science

The Advanced Certificate in Applied Linear Algebra for Data Science is a specialized program designed to equip students with the mathematical foundations necessary for data analysis and machine learning tasks.
This program focuses on the application of linear algebra techniques to real-world data science problems, including data preprocessing, feature extraction, and model selection.
Upon completion, students will be able to apply linear algebra concepts to solve complex data science problems, making them highly sought after in the industry.
The learning outcomes of this program include the ability to analyze and visualize high-dimensional data, perform dimensionality reduction, and develop predictive models using linear algebra techniques.
The duration of the program is typically 6-12 months, depending on the institution and the student's prior experience.
Industry relevance is a key aspect of this program, as many data science applications rely heavily on linear algebra techniques.
Companies such as Google, Amazon, and Facebook use linear algebra in their data science pipelines, making this program highly relevant to those looking to break into the industry.
The skills learned in this program can be applied to a wide range of data science applications, including natural language processing, computer vision, and recommender systems.
Overall, the Advanced Certificate in Applied Linear Algebra for Data Science is an excellent choice for individuals looking to enhance their data science skills and advance their careers in the industry.

Why this course?

Advanced Certificate in Applied Linear Algebra is a highly sought-after qualification in today's data science market, particularly in the UK. According to a survey by the UK's Data Science Council of America (DASCA), 75% of data scientists in the UK possess a degree in mathematics or statistics, with 40% holding a master's or Ph.D. in the field. This highlights the importance of linear algebra skills in data science.
Statistics Percentage
UK Data Scientists with a degree in mathematics or statistics 75%
UK Data Scientists with a master's or Ph.D. in mathematics or statistics 40%

Who should enrol in Advanced Certificate in Applied Linear Algebra for Data Science?

Primary Keyword: Linear Algebra Ideal Audience
Data analysts and scientists working in the UK can benefit from this certificate, with 71% of data science professionals citing linear algebra as a key skill (Source: Data Science Council of America). Individuals with a strong foundation in mathematics and statistics, particularly those with a degree in computer science, mathematics, or statistics, are well-suited for this course.
Those interested in machine learning, artificial intelligence, and data visualization will also find this certificate valuable, as linear algebra is a fundamental component of these fields. Professionals looking to upskill or reskill in data science, data engineering, or related fields will benefit from the practical applications and real-world examples covered in this course.
The UK's data science job market is growing rapidly, with over 3,600 data science roles available in 2022 alone (Source: Indeed). By acquiring the skills and knowledge outlined in this certificate, individuals can increase their competitiveness in the job market and enhance their career prospects in the UK's thriving data science industry.