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• Learning
                      ✶ Learning is the initial stage where individuals acquire new knowledge and skills related to data literacy.
                      ✶  Individuals engage in various learning activities, such as formal training sessions, online courses, reading
                      materials, and hands-on workshops to gain insights into data concepts, tools, and methodologies.
                    • Application
                      ✶  Application involves putting acquired knowledge and skills into practice in real-world contexts.
                      ✶  Individuals apply what they have learned to analyse real datasets, solve data-related problems, and make
                      informed decisions.
                      ✶  They are engaged in data projects, experiments, or simulations to gain practical experience and develop a
                      deeper understanding of data concepts.
                    • Refinement
                      ✶  Refinement focuses on reflecting the past experiences, identifying areas for improvement, and enhancing
                      data literacy skills over time.
                      ✶ Feedback from peers, mentors, supervisors, and outcomes of data-related activities informs the refinement
                      process, guiding individuals to adjust their practices accordingly.


                                Reboot

                      List down the levels of data literacy process framework.
















                         Data Security and Privacy

                 The terms data security and data privacy are often used interchangeably, but they mean different things. Data privacy
                 determines who can access the data, while data security involves tools and policies to restrict access to the data.


                             Data Privacy               It is governing how data is collected, shared, and used.



                            Data Security               It is protecting data from attackers who might want to misuse it.



                 What is Data Privacy?
                 Data  privacy  referred  to  as information privacy  is  concerned  with  the  proper  handling,  processing,  storage,
                 and usage  of sensitive data including personal data and other confidential data, such as certain financial data
                 and intellectual property data, to meet regulatory requirements as well as protecting the confidentiality and
                 immutability of the data.
                 So, when we talk of data privacy, it is expected that any platform or individuals who have access to this information
                 ensure that data is used in a way that respects and fulfils legal requirements and compliance of handling privacy
                 rights. These include how the data is collected and shared for usage and who all have access to data.

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