CEET ELEARNING

60 hours
All levels
5 lessons
0 quizzes
0 students

The CEET Professional Certificate on Coursera is comprised of five courses. You can take all five to prepare for the CEET certification and a career in data ethics or select any course(s) based on your individual needs. We have provided links below to enroll for each of the courses on Coursera or click the button above to enroll for all five.

Understanding of Python programming language 

Program and games creation using Python 2 & 3 

Knowledge of GUI creation 

Advanced Python features such as collections module & timestamps 

Students and freshers with interest in coding 

IT professionals looking for a domain with utmost job security 

Non- IT professionals willing to enter into IT with easy coding  


Organizations focusing on leveraging Python on a large scale 

Understanding of Python programming language 

Program and games creation using Python 2 & 3 

Knowledge of GUI creation 

Advanced Python features such as collections module & timestamps 

Students and freshers with interest in coding 

IT professionals looking for a domain with utmost job security 

Non- IT professionals willing to enter into IT with easy coding  


Organizations focusing on leveraging Python on a large scale 

Titles

Common Job Titles

Policy, Compliance, Regulatory, or Officer

Data Analyst

Data Scientist

Data Architect

Data Engineer

Technology Consultants

Data Protection Officer

Quality and Risk Management Lead

Software Systems Architect

Software Systems Architect

Software Systems Architect

Candidate

Target Candidate

This certification exam is designed for individuals seeking to demonstrate a vendor neutral, cross-industry, and multidisciplinary understanding of applied technology ethics that will enable them to navigate the processes by which ethical integrity may be upheld within emerging data-driven technology fields (such as artificial intelligence (AI), Internet of Things (IoT), and data science).

Prerequisites

Exam Prerequisites

Demonstrate an understanding of the fundamental/foundational concepts related to ethics in data-driven technologies.

Identify common ethical principles and frameworks and select the appropriate framework to understand and/or address ethical issues.

Identify regulations, standards, and best practices utilized in the industry and identify the ethical challenges that may conflict with or compromise their implementation.

Identify and mitigate the myriad risks that arise within the development, utilization, and/or implementation of data-driven technologies.

Communicate about ethical risks and ethical practices internally within the organization and externally to relevant third parties.

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