Course Features
- Lifetime access
- Mobile friendly
- Certificate of completion
- Downloadable resources
- Community access
- 24/7 support
Explore GDPR in predictive analytics, including lawful processing, data rights, algorithmic transparency, privacy by design, governance, security and responsible AI practice.
The GDPR & Data Protection in Predictive Analytics course explores how data protection principles relate to predictive systems and data-driven decision-making. It helps learners understand the relationship between predictive analytics, lawful data processing, individual rights and responsible organisational practice.
The course begins by introducing GDPR and data protection in predictive analytics before establishing the foundations of predictive analytics and responsible data use. Learners will consider lawful and ethical processing, data subject rights and the importance of algorithmic transparency.
Further modules examine privacy by design, governance, accountability and impact assessment within predictive environments. The course also addresses risk, security and the future of predictive compliance before considering lawful, ethical and transparent practice in AI applications.
By connecting privacy responsibilities with predictive technologies, this course can support professionals who want to strengthen their understanding of responsible analytics and data protection governance.
8 sections
•
0 lectures
Very useful course with clear explanations. I completed it in one weekend and learned a lot.
I wasn't sure what to expect, but this course turned out to be really helpful. The lessons were engaging, and I learned more than I expected.
Good course with useful information throughout. Some sections could have more depth. Overall, it was worth the time and money.
This course is suitable for data professionals, privacy and compliance teams, technology staff and others involved in predictive analytics or data-driven systems.
The course introduces the foundations of predictive analytics and data protection, but its coverage of governance, transparency and impact assessment makes some previous awareness of data protection or analytics helpful.
Yes. One module focuses on data subject rights and algorithmic transparency within predictive systems.
Yes. The curriculum includes a dedicated module on privacy by design and data protection in predictive analytics.
No. This course provides general training and educational information only. Organisations and individuals should follow applicable laws, professional guidance, technical standards and internal policies and consult qualified specialists when applying requirements to specific systems.