Certificate Programme in Feature Engineering with Python

Monday, 09 June 2025 21:54:28

International applicants and their qualifications are accepted

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Overview

Overview

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Feature Engineering with Python is a crucial skill for data scientists. This Certificate Programme teaches you practical techniques.


Master data preprocessing, feature scaling, and feature selection using Python libraries like Pandas and Scikit-learn.


The programme is ideal for aspiring data scientists, analysts, and machine learning engineers. Gain hands-on experience through projects.


Learn to improve model accuracy and efficiency through effective feature engineering. Boost your career prospects with this in-demand skill.


Feature Engineering is vital for success in data science. Enroll today and unlock your potential!

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Feature Engineering with Python: Master the art of transforming raw data into powerful predictors. This certificate programme equips you with in-demand skills in data preprocessing, feature selection, and engineering using Python libraries like scikit-learn and pandas. Learn advanced techniques for machine learning model optimization and boost your career prospects in data science, AI, and analytics. Gain hands-on experience through practical projects and receive a valuable certificate upon completion, showcasing your expertise in this crucial data science skill. Data manipulation and model building expertise are key takeaways.

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

• Introduction to Feature Engineering and its Importance
• Data Exploration and Preprocessing with Pandas and NumPy
• Handling Missing Values and Outliers
• Feature Scaling and Transformation Techniques (Standardization, Normalization)
• Feature Encoding: Categorical to Numerical Conversion (One-Hot, Label Encoding)
• Feature Extraction using Domain Knowledge and Principal Component Analysis (PCA)
• Feature Selection Techniques (Filter, Wrapper, Embedded Methods)
• Building a Feature Engineering Pipeline with Scikit-learn
• Feature Engineering for Time Series Data
• Evaluating Feature Importance and Model Performance

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

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

Feature Engineering with Python: UK Job Market Insights

Career Role (Primary: Feature Engineer, Secondary: Data Scientist) Description
Junior Feature Engineer Entry-level position focusing on data cleaning, transformation, and feature selection. Gains practical experience in Python libraries like Pandas and Scikit-learn.
Mid-Level Feature Engineer (Python) Develops and implements advanced feature engineering techniques, contributing to improved model performance. Collaborates with data scientists and machine learning engineers.
Senior Feature Engineer/Data Scientist (Python) Leads feature engineering initiatives, mentors junior team members, and contributes to strategic data solutions. Expert in Python and diverse feature engineering methodologies.

Key facts about Certificate Programme in Feature Engineering with Python

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This Certificate Programme in Feature Engineering with Python equips you with the skills to transform raw data into effective features for machine learning models. You'll learn to handle missing values, engineer categorical variables, and create new features that improve model performance significantly. This practical training emphasizes hands-on experience with Python libraries like Pandas and Scikit-learn.


Upon completion of this program, you will be able to apply various feature engineering techniques, including scaling, encoding, and dimensionality reduction. You'll understand how feature selection impacts model accuracy and efficiency, and confidently build robust and predictive models. The program's curriculum includes best practices and real-world case studies, ensuring your skills are immediately applicable.


The program typically runs for 8 weeks, with a flexible online learning environment designed to accommodate busy schedules. The curriculum is structured to provide a comprehensive understanding of feature engineering concepts and their practical application in data science projects. Regular assignments and a capstone project allow for practical implementation and skill reinforcement.


Feature engineering is a highly sought-after skill in today's data-driven industry. Graduates of this certificate program will be well-prepared for roles in data science, machine learning, and business analytics, with enhanced employability and increased earning potential. The program directly addresses the industry's demand for skilled professionals capable of handling the complexities of data preprocessing and feature creation.


This intensive program utilizes Python, a leading language in data science, alongside popular libraries like Pandas for data manipulation, NumPy for numerical computing, and Scikit-learn for machine learning algorithms. Data mining and preprocessing techniques are thoroughly explored to ensure a complete understanding of the feature engineering process.

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Why this course?

Certificate Programme in Feature Engineering with Python is rapidly gaining traction in the UK job market. The demand for data scientists and machine learning engineers proficient in feature engineering is soaring, driven by the increasing reliance on data-driven decision-making across various sectors. According to a recent report, the UK's data science sector is projected to grow by 30% in the next five years, creating numerous high-paying roles requiring expertise in Python and feature engineering techniques. This Python-focused certificate program directly addresses this industry need, equipping professionals with the crucial skills to extract meaningful insights from complex datasets.

Skill Demand
Feature Engineering High
Python Programming Very High
Data Cleaning High

Who should enrol in Certificate Programme in Feature Engineering with Python?

Ideal Learner Profile Skills & Experience
Our **Feature Engineering with Python** certificate program is perfect for aspiring data scientists and analysts in the UK, a market projected to grow by X% by 2025 (Source: [Insert UK Statistic Source Here]). Basic Python programming skills and some familiarity with data manipulation are helpful, but not required. We'll cover essential **data wrangling** techniques and **machine learning** concepts, making this program accessible even to beginners.
Current data professionals seeking to upskill in high-demand techniques like **feature scaling** and **encoding** will also find this course incredibly valuable. Experience with SQL or other data management tools will enhance your learning. A passion for solving real-world problems using data is crucial. The program focuses on practical application, so prior exposure to **data analysis** projects would be beneficial.
Graduates with degrees in related fields, such as mathematics, statistics, or computer science, will find this program a perfect complement to their existing knowledge. You should be comfortable working independently, possess excellent problem-solving skills, and be keen to develop your **Python** skills further.