Undergraduate Certificate in Data Transformation in Feature Engineering

Name: Undergraduate Certificate in Data Transformation in Feature Engineering
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The Undergraduate Certificate in Data Transformation in Feature Engineering is a comprehensive course designed to equip learners with essential skills in data transformation and feature engineering. With the increasing demand for data-driven decision-making in various industries, this course is critical for individuals seeking to advance their careers in data analysis, machine learning, and artificial intelligence.

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AboutThisCourse

This certificate course covers essential topics such as data preprocessing, feature scaling, dimensionality reduction, and data visualization. Learners will gain hands-on experience working with real-world datasets and popular data analysis tools such as Python, NumPy, Pandas, and Scikit-learn. By completing this course, learners will be able to transform raw data into valuable features that can be used to train machine learning models, improving their accuracy and efficiency. This skillset is highly sought after in various industries, including finance, healthcare, marketing, and technology, making this course an excellent investment in one's career advancement.

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CourseDetails

• Introduction to Data Transformation in Feature Engineering
• Data Preprocessing and Cleaning
• Feature Extraction Techniques
• Data Encoding Methods
• Handling Missing Data in Feature Engineering
• Data Scaling and Normalization
• Dimensionality Reduction Techniques
• Feature Selection Strategies
• Data Transformation for Machine Learning Models
• Evaluation Metrics for Feature Engineering

CareerPath

The undergraduate certificate in Data Transformation Feature Engineering equips learners with essential skills for the UK's thriving data-driven job market. This 3D pie chart showcases the most in-demand roles and their respective market shares. 1. **Data Engineer (35%)** Data Engineers are responsible for designing, building, and managing data infrastructure systems that facilitate data analysis and machine learning tasks. 2. **Machine Learning Engineer (25%)** Machine Learning Engineers focus on applying machine learning techniques and tools to design, develop, and implement intelligent systems and algorithms. 3. **Data Scientist (20%)** Data Scientists combine statistical expertise, machine learning, and domain knowledge to uncover insights, inform decision-making, and build predictive models. 4. **Data Analyst (15%)** Data Analysts collect, process, and perform statistical analyses on datasets to identify trends, correlations, and actionable insights. 5. **Business Intelligence Developer (5%)** Business Intelligence Developers create data visualization tools and reporting systems to help organizations make data-driven decisions. Keep in mind that these percentages are dynamic and may change over time due to various factors such as technological advancements, industry growth, and evolving business needs. Nonetheless, this 3D pie chart offers a snapshot of the current UK job market landscape for those pursuing a career in data transformation feature engineering.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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UNDERGRADUATE CERTIFICATE IN DATA TRANSFORMATION IN FEATURE ENGINEERING

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London School of International Business (LSIB)

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05 May 2025

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