Course Overview
This comprehensive course offered by IRES examines the ethical issues surrounding big data and analytics. Participants will explore the responsible use of data analytics, the implications of big data technologies, and the ethical considerations necessary for ensuring fairness and accountability in data-driven decision-making.
Duration
5 Days
Target Audience
- Data analysts
- Data scientists
- Business intelligence professionals
- IT managers
- Policy makers
Personal Impact
- Enhance understanding of ethical principles in data analytics.
- Develop skills to ensure fairness and accountability in analytics.
- Gain knowledge of ethical implications of big data technologies.
- Improve ability to make responsible data-driven decisions.
Organizational Impact
- Promote ethical data analytics practices within the organization.
- Enhance fairness and accountability in data-driven decision-making.
- Ensure compliance with data privacy and ethical standards.
- Improve overall effectiveness and trustworthiness of analytics efforts.
Course Outline
Course Objectives
- Understand the fundamental principles of ethics in data analytics.
- Learn best practices for ensuring fairness and accountability.
- Develop skills for responsible use of big data technologies.
- Explore ethical implications of data-driven decision-making.
- Gain insights into compliance with data privacy standards.
Course Modules
Course Outline
Module 1: Introduction to Ethics in Data Analytics
- Overview of ethical data analytics
- Key principles and definitions
- Importance of ethics in data analytics
- Case Study: Examining the impact of unethical practices in a predictive policing system
Module 2: Ensuring Fairness in Data Analytics
- Understanding bias in data analytics
- Techniques for ensuring fairness
- Case studies and real-world examples
- Case Study: Addressing algorithmic bias in hiring software
Module 3: Accountability in Data-Driven Decision-Making
- Promoting accountability in analytics
- Ethical decision-making frameworks
- Balancing business needs with ethical considerations
- Case Study: Accountability challenges in financial credit scoring systems
Module 4: Responsible Use of Big Data Technologies
- Understanding big data technologies
- Ethical implications of big data
- Best practices for responsible use
- Case Study: Exploring responsible big data practices in healthcare analytics
Module 5: Data Privacy and Compliance
- Overview of data privacy standards
- Ensuring compliance with privacy regulations
- Ethical responsibilities in data analytics
- Case Study: Ensuring GDPR compliance in a multinational organization’s data management system
Related Courses
Course Administration Details
Methodology
These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation and Airport Transfer
Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
Payment
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to outreach@indepthresearch.org
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