Data privacy controls how information is collected, used, shared, and disposed of, in accordance with policies or external laws and regulations. In this course, students will gain an understanding of what data privacy is along with how to identify and understand typical data protection and privatization objectives that an enterprise may have, and how to choose a data protection approach. The student will gain a background in multiple data privacy mechanisms and practices, and learn how to grow their data protection toolkit. The IBM DataFirst method will be the backbone of the discussion.
IBM Data Privacy for Information ArchitectureIBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
What is the refund policy?
Is financial aid available?