Global Certificate in Design & Data Science
-- viewing nowThe Global Certificate in Design & Data Science is a comprehensive course that bridges the gap between design and data science, two of the most in-demand fields today. This course emphasizes the importance of integrating design thinking with data science techniques to drive better business decisions and user experiences.
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Course Details
• Data Literacy: Understanding data fundamentals, data types, data sources, and data manipulation.
• Data Visualization: Techniques and tools for data visualization, data storytelling, and data communication.
• Machine Learning: Basics of machine learning, regression, classification, clustering, and model evaluation.
• Deep Learning: Neural networks, convolutional neural networks, recurrent neural networks, and transfer learning.
• Data Ethics: Ethical considerations, data privacy, bias, and fairness in data science.
• Design Thinking: Human-centered design, problem-solving, ideation, prototyping, and testing.
• User Experience (UX) Design: User research, usability testing, interaction design, and visual design.
• Data-Driven Decision Making: Data-driven insights, decision analytics, and organizational impact.
Note: These units aim to provide a comprehensive and balanced curriculum in design and data science. They cover essential skills and knowledge required to excel in this rapidly evolving field.
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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