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Data Ethics for Business Professionals (DEBIZ ™)

The power of extracting value from data utilizing Artificial Intelligence, Data Science and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we apply ethical principles to data driven technology? This course provides business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data driven technologies and the impact to an organization which ignores ethical use of technology.
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Course Details

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Virtual

Course Overview

The power of extracting value from data utilizing Artificial Intelligence, Data Science and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we apply ethical principles to data driven technology? This course provides business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data driven technologies and the impact to an organization which ignores ethical use of technology.
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To ensure your success in this course, you should have a working knowledge of general business concepts and practices. You should also have a basic understanding of Artificial Intelligence and or Data Science. Recommended knowledge level: AIBIZ™: AI for Business Professionals (Exam AIZ-110) DSBIZ ™: Data Science for Business Professionals (Exam DSZ-110)

Module 1: Introduction to Programming Concepts

  • What is programming?
  • Programming languages and environments
  • Compiling and running code

Module 2: Variables and Data Types

  • Using variables and constants
  • Working with data types
  • Performing calculations with operators

Module 3: Control Structures

  • Conditional statements (if/else)
  • Loops (for, while)
  • Practical flow control examples

Module 4: Functions

  • Declaring and calling functions
  • Parameters and return values
  • Organizing code with functions

Module 5: Debugging and Troubleshooting

  • Common programming errors
  • Debugging tools and techniques
  • Testing and validating programs

Module 6: Putting It All Together

  • Writing your first complete program
  • Combining variables, control flow, and functions
  • Next steps in programming
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