Duration
The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
Course fee
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Assessment mode
Assignments or Quiz
Tutor support available
International Students can apply
Students from over 90 countries
Flexible study
Study anytime, from anywhere
Overview
Professional Certificate in Feature Engineering and Feature Engineering Best Practices
Gain expertise in feature engineering techniques and best practices with our comprehensive program. Designed for data scientists, machine learning engineers, and AI enthusiasts, this course covers advanced methods to extract, transform, and select features for predictive modeling. Learn how to optimize model performance and interpret feature importance for better decision-making. Master the art of feature engineering through hands-on projects and real-world applications. Elevate your data science skills and stay ahead in the competitive industry landscape. Enroll now and supercharge your machine learning projects!
Feature Engineering Training at its best! Our Professional Certificate in Feature Engineering and Feature Engineering Best Practices offers hands-on projects, practical skills, and self-paced learning. Dive into the world of machine learning training and enhance your data analysis skills with expert guidance. Learn from real-world examples and master the art of feature selection, extraction, and transformation. Stay ahead in the competitive field of data science with our comprehensive course. Whether you're a beginner or seasoned professional, this certificate will take your skills to the next level. Enroll now and unlock a world of opportunities!Get free information
Course structure
• Introduction to Feature Engineering • Exploratory Data Analysis for Feature Engineering • Handling Missing Data in Feature Engineering • Encoding Categorical Variables in Feature Engineering • Feature Scaling and Normalization Techniques • Feature Selection Methods in Machine Learning • Dimensionality Reduction Techniques • Feature Engineering for Time Series Data • Feature Engineering for Natural Language Processing • Feature Engineering Best Practices and Case StudiesEnhance your data science skills with our Professional Certificate in Feature Engineering. This comprehensive program focuses on mastering the art of creating new features from raw data to improve machine learning model performance. By the end of the course, you will be able to extract valuable insights from complex datasets and boost the accuracy of your predictive models.
Duration: 8 weeks, self-paced
Learning Outcomes: Understand feature engineering techniques, apply advanced data transformation methods, optimize model performance through feature selection, and deploy feature engineering best practices in real-world projects.
Stay ahead in the data science field by mastering Feature Engineering Best Practices. This course is designed to help you keep up with the latest trends and techniques in feature engineering, ensuring that your models are efficient, accurate, and scalable. Learn from industry experts and gain the skills needed to excel in a competitive job market.
Duration: 6 weeks, flexible schedule
Learning Outcomes: Implement feature engineering best practices, automate feature extraction processes, handle missing data effectively, and optimize feature pipelines for maximum model performance.
| Feature | Importance |
|---|---|
| Feature Engineering | High |
| Best Practices | Essential |