Professional Certificate in Feature Engineering Techniques

Thursday, 12 February 2026 23:08:10

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

Feature engineering techniques are a crucial aspect of machine learning, and this Professional Certificate aims to equip learners with the skills to extract relevant features from data.


Designed for data scientists and analysts, this course focuses on feature engineering to improve model performance and accuracy.


Through a combination of lectures, assignments, and projects, learners will learn how to select and transform features using various techniques such as correlation analysis, dimensionality reduction, and feature scaling.


By the end of this course, learners will be able to apply feature engineering techniques to real-world problems and improve the performance of their machine learning models.


So, if you're looking to take your data science skills to the next level, explore this Professional Certificate in Feature Engineering Techniques and start building more accurate and reliable models today!

Feature Engineering is a crucial step in machine learning model development, and our Professional Certificate in Feature Engineering Techniques will equip you with the skills to extract valuable insights from your data. By mastering feature engineering, you'll improve model accuracy, reduce overfitting, and enhance data-driven decision-making. This course covers feature selection, dimensionality reduction, and data preprocessing techniques, as well as advanced methods like ensemble feature engineering and domain-specific feature engineering. With this certificate, you'll boost your career prospects in data science and analytics, and be in high demand as a data engineer or scientist.

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 for Predictive Modeling • Data Preprocessing Techniques • Dimensionality Reduction Methods • Handling Missing Values and Outliers • Data Normalization and Scaling • Feature Selection and Extraction • Text Feature Engineering • Time Series Feature Engineering • Ensemble Methods for Feature Engineering • Hyperparameter Tuning 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.

Start Now

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.

Start Now

  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
  • Start Now
    •

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 Professional Certificate in Feature Engineering Techniques

The Professional Certificate in Feature Engineering Techniques is a comprehensive program designed to equip learners with the skills and knowledge required to extract valuable insights from data.
This program focuses on teaching learners how to engineer features that can be used to improve the performance of machine learning models,
and is particularly relevant in industries such as finance, healthcare, and marketing where data-driven decision making is crucial.
Upon completion of the program, learners will be able to apply feature engineering techniques to real-world problems,
and will have a solid understanding of how to select, create, and transform features to improve model performance.
The program is designed to be completed in a short duration of 4-6 months, with a flexible schedule that allows learners to balance their studies with work or other commitments.
The Professional Certificate in Feature Engineering Techniques is highly relevant to the industry, as feature engineering is a critical step in the machine learning workflow.
Learners who complete the program will gain a competitive edge in the job market, and will be able to apply their skills and knowledge to drive business success.
The program is taught by industry experts, and includes a range of interactive and hands-on learning activities,
such as projects, case studies, and group discussions, to ensure that learners gain practical experience and insights.
The Professional Certificate in Feature Engineering Techniques is a valuable addition to any data scientist's or analyst's toolkit,
and is an excellent way to upskill and reskill in this in-demand field.

Why this course?

Feature Engineering Techniques have become a crucial aspect of data science and machine learning 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, 60% of respondents reported that feature engineering is the most time-consuming part of the machine learning workflow.
Feature Engineering Techniques Percentage of Respondents
Dimensionality Reduction 40%
Feature Selection 30%
Feature Extraction 20%
Other 10%

Who should enrol in Professional Certificate in Feature Engineering Techniques?

Ideal Audience for Professional Certificate in Feature Engineering Techniques Data scientists, machine learning engineers, and analysts in the UK can benefit from this course, with 70% of professionals in the field expected to be involved in feature engineering by 2025 (Source: Gartner)
Key Characteristics: Professionals with 2+ years of experience in data science, machine learning, or related fields, and a strong understanding of statistics, linear algebra, and programming languages such as Python and R.
Career Benefits: Upon completion, learners can expect to increase their earning potential by up to 20% and take on more senior roles in feature engineering, with the UK's data science market projected to grow by 15% annually until 2027 (Source: PwC).
Prerequisites: Basic knowledge of Python, R, or SQL, and familiarity with data visualization tools such as Tableau or Power BI.