Certificate in Data Cleansing and Machine Learning
-- viewing nowThe Certificate in Data Cleansing and Machine Learning is a comprehensive course designed to equip learners with essential skills for career advancement in the data-driven industry. This course emphasizes the importance of data cleansing, a critical step in the data science workflow, and machine learning, a highly sought-after skill by employers.
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Course Details
• Data Cleansing: Introduction and Overview
• Identifying and Handling Data Inconsistencies
• Data Normalization and Standardization Techniques
• Data Imputation and Machine Learning Approaches
• Data Transformation and Feature Engineering
• Exploratory Data Analysis for Data Cleansing
• Data Quality Metrics and Assessment
• Data Cleansing Tools and Software
• Real-World Data Cleansing Applications
• Supervised and Unsupervised Machine Learning Techniques in Data Cleansing
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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