Assessment mode Assignments or Quiz
Tutor support available
International Students can apply Students from over 90 countries
Flexible study Study anytime, from anywhere

Overview

Embark on a transformative journey with our Certified Professional in Feature Engineering course. Dive deep into key topics such as data preprocessing, feature selection, and dimensionality reduction. Gain actionable insights to optimize machine learning models and drive impactful business decisions. Stay ahead in the ever-evolving digital landscape with hands-on experience in extracting valuable features from raw data. Elevate your skills and become a sought-after expert in feature engineering. Enroll now and unlock a world of opportunities in data science and artificial intelligence.

Unlock the power of data with our Certified Professional in Feature Engineering program. Dive deep into the world of data science and learn how to extract, transform, and select the most relevant features for machine learning models. Gain hands-on experience with industry tools and techniques to enhance model performance and drive business insights. Our comprehensive curriculum covers advanced topics such as dimensionality reduction, feature selection, and feature extraction. Become a sought-after data scientist with the skills and expertise needed to excel in today's competitive job market. Enroll now and take your career to the next level in feature engineering.

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Entry requirements

The program follows an open enrollment policy and does not impose specific entry requirements. All individuals with a genuine interest in the subject matter are encouraged to participate.

Course structure

• Data Cleaning
• Feature Selection
• Feature Scaling
• Feature Transformation
• Handling Missing Data
• Encoding Categorical Variables
• Handling Outliers
• Feature Extraction
• Dimensionality Reduction
• Feature Engineering Techniques

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

Are you ready to take your data science skills to the next level? Look no further than the Certified Professional in Feature Engineering course. This comprehensive program is designed to equip you with the knowledge and skills needed to excel in the field of feature engineering.
Upon completion of this course, you will have a deep understanding of feature engineering techniques, including data preprocessing, feature selection, and feature transformation. You will also learn how to apply these techniques to real-world data sets, allowing you to extract valuable insights and make informed decisions.
The Certified Professional in Feature Engineering course is highly relevant to a wide range of industries, including finance, healthcare, marketing, and more. In today's data-driven world, companies are constantly seeking professionals who can effectively extract and manipulate features from data to drive business outcomes. By becoming certified in feature engineering, you will position yourself as a valuable asset in the job market.
One of the unique features of this course is its hands-on approach to learning. Through a series of practical exercises and projects, you will have the opportunity to apply your knowledge in a real-world setting. This experiential learning approach will not only deepen your understanding of feature engineering but also enhance your problem-solving skills.
In conclusion, the Certified Professional in Feature Engineering course is a must-have for anyone looking to advance their career in data science. With its comprehensive curriculum, industry relevance, and hands-on learning approach, this course will set you apart as a skilled and knowledgeable professional in the field of feature engineering. Don't miss out on this opportunity to take your data science skills to the next level.

Why Certified Professional in Feature Engineering is Required

Feature engineering is a crucial aspect of machine learning and data science, involving the creation and selection of features to improve model performance. A Certified Professional in Feature Engineering is required to demonstrate expertise in this field, ensuring accurate data representation and efficient model training.

Industry Demand Statistics
Data Science According to the Office for National Statistics, the demand for data scientists in the UK is expected to increase by 50% over the next decade.
Machine Learning Jobs in machine learning are projected to grow by 60% in the UK, as reported by the British Computer Society.

Career path

Career Roles Key Responsibilities
Feature Engineer Developing and implementing feature engineering strategies for machine learning models.
Data Scientist Analyzing and interpreting complex data sets to extract valuable insights.
Machine Learning Engineer Building and optimizing machine learning models using feature engineering techniques.
AI Researcher Conducting research to advance the field of artificial intelligence through innovative feature engineering methods.
Data Analyst Cleaning and preparing data for analysis, including feature engineering tasks.