Graduate Certificate in Basics of Feature Engineering

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The Graduate Certificate in Basics of Feature Engineering is a crucial course designed to equip learners with essential skills in feature engineering, a key aspect of data science and machine learning. This program is vital in an era where data-driven decision-making is paramount, and businesses increasingly rely on machine learning models for predictions and insights.

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AboutThisCourse

This certificate course is in high industry demand, as feature engineering can significantly impact the performance of machine learning algorithms. By understanding how to create, select, and transform features, learners can enhance the predictive power of models, leading to more accurate insights and better business decisions. Upon completion, learners will be equipped with the skills to design and implement feature engineering strategies, making them attractive candidates for data science roles in various industries. The course covers essential topics such as data preprocessing, feature selection, and dimensionality reduction, ensuring learners have a solid foundation in this critical area of data science.

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CourseDetails

• Feature Selection
• Feature Extraction
• Feature Engineering Techniques
• Data Preprocessing for Feature Engineering
• Dimensionality Reduction
• Feature Engineering in Machine Learning
• Evaluation Metrics for Feature Engineering
• Advanced Feature Engineering Techniques
• Real-world Applications of Feature Engineering

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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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CourseFee

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
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StandardMode GBP £90
CompleteInTwoMonths
FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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GRADUATE CERTIFICATE IN BASICS OF FEATURE ENGINEERING
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London School of International Business (LSIB)
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05 May 2025
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