Professional Certificate in Feature Engineering

Friday, 06 February 2026 17:54:18

International applicants and their qualifications are accepted

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Overview

Overview

Feature engineering

is a crucial step in machine learning and data science. It involves designing and implementing new features to improve the accuracy and efficiency of models.

For data analysts and scientists, feature engineering can be a challenging task, but with the right skills and knowledge, it can be a game-changer.

Some of the key concepts covered in this course include data preprocessing, feature selection, and dimensionality reduction.

Through interactive exercises and real-world examples, learners will gain hands-on experience in designing and implementing effective feature engineering strategies.

Whether you're looking to improve your skills in machine learning or data science, or simply want to learn more about feature engineering, this course is perfect for you.

So why wait? Explore the world of feature engineering today and take your data science skills to the next level!

Feature Engineering is a crucial step in machine learning and data science, and our Professional Certificate program will equip you with the skills to excel in this field. By mastering feature engineering, you'll be able to extract valuable insights from your data, improve model performance, and gain a competitive edge in the job market. With this course, you'll learn how to feature engineering techniques, including data preprocessing, dimensionality reduction, and feature selection. You'll also gain hands-on experience with popular tools and libraries, such as Python and R. Upon completion, you'll be ready to take on roles in data science, machine learning, and analytics.

Entry requirements

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 with Python • Data Preprocessing Techniques • Dimensionality Reduction Methods • Ensemble Methods for Feature Engineering • Handling Imbalanced Datasets • Feature Selection using Information Criteria • Feature Engineering for Text Data • Anomaly Detection using Unsupervised Methods • Feature Engineering for Time Series Data • Model Evaluation Metrics for Feature Engineering

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 Professional Certificate in Feature Engineering

The Professional Certificate in Feature Engineering is a comprehensive program designed to equip learners with the skills and knowledge required to extract valuable insights from data.
By completing this certificate, learners can expect to gain a deep understanding of feature engineering techniques, including data preprocessing, feature selection, and dimensionality reduction.
This knowledge can be applied in various industries, such as machine learning, data science, and business analytics, where feature engineering plays a crucial role in building accurate models and making informed decisions.
The program covers a range of topics, including data visualization, statistical modeling, and programming skills in languages like Python and R.
Learners can expect to learn from experienced instructors and industry experts, who will provide guidance and support throughout the program.
Upon completion, learners will receive a professional certificate, which can be added to their resume or LinkedIn profile, demonstrating their expertise in feature engineering.
The duration of the program is typically 4-6 months, with learners expected to dedicate around 10-15 hours per week to complete the coursework.
The Professional Certificate in Feature Engineering is highly relevant to the current job market, with many organizations seeking professionals who can extract insights from data and build accurate models.
By acquiring this skillset, learners can pursue careers in data science, machine learning engineering, or business analytics, and can also enhance their existing roles with advanced feature engineering skills.
Overall, the Professional Certificate in Feature Engineering is an excellent choice for anyone looking to launch or advance their career in data-driven fields.

Why this course?

Feature Engineering has become a crucial aspect of data science and machine learning, with the demand for professionals skilled in this area skyrocketing in the UK. According to a report by the Royal Statistical Society, the number of data scientists in the UK has increased by 50% in the past two years, with feature engineering being a key skill required for these roles.
Year Number of Data Scientists
2020 20,000
2022 30,000

Who should enrol in Professional Certificate in Feature Engineering?

Ideal Audience for Professional Certificate in Feature Engineering Data scientists, machine learning engineers, and analysts in the UK can benefit from this certificate, with 70% of professionals in the field expected to need new skills by 2025 (Source: Gartner)
Key Characteristics Professionals with 2+ years of experience in data analysis, machine learning, or a related field, and a strong foundation in statistics and programming skills, are well-suited for this certificate.
Career Goals Upon completion, graduates can expect to increase their earning potential by up to 20% and take on more senior roles, such as Senior Data Scientist or Machine Learning Engineer, with a median salary of £80,000 in the UK.
Prerequisites A strong foundation in statistics, linear algebra, and programming skills, as well as 1-2 years of experience in data analysis or a related field, are required for admission to this certificate program.

Insights

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