Certificate in Numerical Computations for Data Science

Wednesday, 11 February 2026 04:42:43

International applicants and their qualifications are accepted

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Overview

Overview

Numerical Computations for Data Science

Master the art of numerical computations with our Certificate in Numerical Computations for Data Science, designed for data analysts, scientists, and engineers.

Learn to apply mathematical and computational techniques to solve real-world problems, from linear algebra and calculus to machine learning and optimization.

Develop skills in programming languages such as Python, R, and MATLAB, and gain hands-on experience with popular libraries like NumPy, pandas, and scikit-learn.

Improve your ability to analyze and visualize complex data, and make informed decisions with data-driven insights.

Take the first step towards a career in data science and explore our Certificate in Numerical Computations for Data Science today!

Numerical Computations is the backbone of data science, and this Certificate course will equip you with the skills to master it. Learn to numerical computations using Python and R, and gain hands-on experience with popular libraries like NumPy, pandas, and scikit-learn. Develop problem-solving skills and numerical computations techniques to analyze and visualize complex data sets. Enhance your career prospects in data science, machine learning, and scientific computing with this comprehensive course. Unique features include interactive coding sessions, real-world projects, and expert guidance from industry professionals. Unlock your potential in numerical computations and start your data science journey today.

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

• Linear Algebra
• Probability and Statistics
• Programming for Data Science (Python, R, or Julia)
• Data Visualization
• Machine Learning
• Data Preprocessing and Cleaning
• Data Mining
• Optimization Techniques
• Big Data and Distributed Computing
• Numerical Methods for Scientific Computing

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 Numerical Computations for Data Science

The Certificate in Numerical Computations for Data Science is a specialized program designed to equip students with the skills necessary to work with numerical computations in data science.
This program focuses on teaching students how to use numerical methods and algorithms to analyze and model complex data sets, making it an essential tool for data scientists.
Upon completion of the program, students will have gained the ability to apply numerical computations to real-world data sets, enabling them to make informed decisions and drive business outcomes.
The duration of the Certificate in Numerical Computations for Data Science is typically several months, allowing students to quickly acquire the necessary skills and knowledge.
Industry relevance is a key aspect of this program, as numerical computations are a critical component of many data science applications, including machine learning, predictive analytics, and data visualization.
By completing this certificate, students will be well-prepared to work in a variety of industries, including finance, healthcare, and retail, where numerical computations are used to drive business decisions.
The skills learned in this program are also transferable to other fields, such as engineering, physics, and economics, making it a valuable asset for students looking to expand their career opportunities.
Overall, the Certificate in Numerical Computations for Data Science is a valuable investment for anyone looking to develop their skills in numerical computations and drive business outcomes through data-driven decision making.

Why this course?

Certificate in Numerical Computations for Data Science is a highly sought-after qualification in today's market, with the UK's data science industry expected to grow by 13.4% annually until 2027, according to a report by the Centre for Economic Performance. This growth is driven by the increasing demand for data-driven decision-making across various sectors, including finance, healthcare, and retail.
Industry Growth Rate (%)
Finance 15.6%
Healthcare 12.1%
Retail 14.5%

Who should enrol in Certificate in Numerical Computations for Data Science?

Ideal Audience for Certificate in Numerical Computations for Data Science Data science professionals and enthusiasts in the UK, particularly those working in finance, economics, and business analytics, are the primary target audience for this certificate. With the increasing demand for data-driven decision-making in the UK economy, where 80% of businesses use data analytics to inform their strategies (Source: Institute of Chartered Accountants in England and Wales), this certificate can help them upskill and reskill in numerical computations.
Key Characteristics: Prospective learners should have a basic understanding of programming concepts, such as Python or R, and be familiar with data structures and algorithms. Additionally, they should be able to work with large datasets and perform statistical analysis, as 70% of data scientists in the UK use Python as their primary programming language (Source: Kaggle).
Learning Objectives: Upon completing this certificate, learners will be able to apply numerical computations to real-world data science problems, including data visualization, machine learning, and statistical modeling. This will enable them to contribute to data-driven projects and make informed decisions in their organizations, as 90% of businesses in the UK believe that data analytics is crucial for their success (Source: CIPD).