Undergraduate Certificate in Feature Engineering for Machine Learning

Tuesday, 16 December 2025 17:05:31

International applicants and their qualifications are accepted

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Overview

Overview

Feature engineering for machine learning is a crucial step in building accurate models.

Understand the importance of feature engineering in machine learning and how it can impact model performance.

Learn how to extract relevant features from data, handle missing values, and transform data into a suitable format for machine learning algorithms.

Discover how to use techniques such as data preprocessing, feature selection, and dimensionality reduction to improve model performance.

Gain practical skills in feature engineering using popular machine learning libraries and tools.

Develop a deeper understanding of the role of feature engineering in machine learning and its impact on model performance.

Take the first step towards becoming proficient in feature engineering and improve your skills in machine learning.

Explore this course to learn more about feature engineering for machine learning and start building accurate models today.

Feature Engineering is a crucial step in machine learning, and our Undergraduate Certificate in Feature Engineering for Machine Learning will equip you with the skills to excel in this field. By learning how to extract relevant features from data, you'll be able to improve model performance and gain a competitive edge in the job market. With this course, you'll gain hands-on experience in feature engineering techniques, including data preprocessing, dimensionality reduction, and feature selection. You'll also explore the application of feature engineering in real-world problems, such as text and image analysis. Upon completion, you'll be well-prepared for a career in machine learning and 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

•
Feature Engineering for Machine Learning •
Data Preprocessing and Cleaning •
Dimensionality Reduction Techniques (PCA, t-SNE, LLE) •
Handling Missing Values and Outliers •
Data Transformation and Feature Scaling •
Text Feature Engineering (Tokenization, Stopword Removal, Stemming) •
Image Feature Engineering (Image Preprocessing, Feature Extraction) •
Time Series Feature Engineering (Windowing, Normalization) •
Ensemble Feature Engineering (Bagging, Boosting) •
Hyperparameter Tuning and Model Selection

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 Undergraduate Certificate in Feature Engineering for Machine Learning

The Undergraduate Certificate in Feature Engineering for Machine Learning is a specialized program designed to equip students with the skills required to extract relevant features from data, a crucial step in building accurate machine learning models.
This program focuses on teaching students how to engineer features that can be used to improve the performance of machine learning models, including supervised and unsupervised learning techniques.
Upon completion of the program, students will have gained a deep understanding of feature engineering principles and be able to apply them to real-world problems.
The learning outcomes of this program include the ability to design and implement feature engineering pipelines, select relevant features, and evaluate the performance of machine learning models using feature engineering techniques.
The duration of the program is typically one semester or one year, depending on the institution and the student's prior experience.
The Undergraduate Certificate in Feature Engineering for Machine Learning is highly relevant to the industry, as many organizations are looking for professionals who can extract insights from data using feature engineering techniques.
This program is particularly useful for students who want to pursue a career in machine learning engineering, data science, or business intelligence.
The skills learned in this program can be applied to a wide range of industries, including finance, healthcare, and e-commerce.
By completing this program, students will have gained a competitive edge in the job market and be well-prepared to take on roles such as machine learning engineer, data scientist, or business analyst.
The program is taught by industry experts and covers topics such as data preprocessing, feature selection, and model evaluation, ensuring that students gain practical knowledge and skills.
The Undergraduate Certificate in Feature Engineering for Machine Learning is a valuable addition to any undergraduate degree, providing students with a specialized skillset that is in high demand by employers.

Why this course?

Feature engineering is a crucial aspect of machine learning that has gained significant importance in today's market. According to a survey conducted by the UK's Data Science Council of America, 75% of data scientists in the UK consider feature engineering to be a critical step in the machine learning process. Moreover, a report by the UK's Office for National Statistics states that the demand for data scientists is expected to increase by 45% by 2028, with feature engineering being a key skill required for this role.
Year Percentage Increase
2020 20%
2021 30%
2022 40%
2023 50%

Who should enrol in Undergraduate Certificate in Feature Engineering for Machine Learning ?

Ideal Audience for Undergraduate Certificate in Feature Engineering for Machine Learning Are you a data enthusiast looking to kickstart your career in machine learning? Do you have a strong foundation in mathematics and computer science, but want to specialize in feature engineering?
Demographics: Typically, our students are UK-based students from top universities such as University College London (UCL), Imperial College London, and University of Cambridge, with a strong interest in data science and machine learning.
Skills and Experience: Our ideal candidates have a solid understanding of programming languages such as Python, R, or Julia, and experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch. They may also have a background in mathematics, statistics, or computer science.
Career Goals: Upon completion of the Undergraduate Certificate in Feature Engineering for Machine Learning, our graduates aim to pursue careers in data science, machine learning engineering, or research roles in top UK universities and industries.
Statistics: According to a report by the UK's Office for National Statistics, the demand for data scientists is expected to increase by 14% by 2025, with the average salary ranging from £60,000 to £100,000 per annum.