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Data Science and Analytics for Digital Innovation Certificate

Curriculum
Lectures
  • Lecture 1: Introduction to Data Science & Analytics
  • Lecture 2: Data Collection and Preparation for Digital Innovation
  • Lecture 3: Exploratory Data Analysis (EDA) for Digital Innovation
  • Lecture 4: Statistical Methods for Data Analysis in Digital Innovation
  • Lecture 5: Machine Learning Techniques for Digital Innovation
  • Lecture 6: Deep Learning and Artificial Intelligence (AI) for Digital Innovation
  • Lecture 7: Big Data Analytics and Cloud Computing for Digital Innovation
  • Lecture 8: Digital Innovation and Data Science Applications
  • Lecture 9: Ethical Considerations and Responsible AI in Data Science
  • Lecture 10: Digital Transformation and Data Science
  • Lecture 11: Capstone Project Practical Application in Data Science and Digital Innovation
  • Lecture 12: Future Trends in Data Science and Analytics
Assignments
  • Assignment 1: Introduction to Data Science & Analytics
  • Assignment 2: Exploratory Data Analysis (EDA) and Statistical Methods
  • Assignment 3: Machine Learning, AI, and Big Data in Digital Innovation
Quiz
  • Quiz: Data Science and Analytics for Digital Innovation Certificate