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VCE Applied Computing: Data Analytics

VCE · VCAAComputer Science463 cards

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Flashcards for VCE Applied Computing: Data Analytics (Units 3 and 4), split into each unit's areas of study and then by key knowledge group, following the study design for exams from 2025 onwards. Covers databases and SQL, spreadsheets and data visualisations, project management, data integrity, the Australian privacy and copyright law it names, and cyber security. Delete or suspend any subdeck your course leaves out once the deck is yours.

Adding it gives you your own copy, with every subdeck below. Each card then comes back just before you would forget it, and every one you get right or wrong counts towards your mastery of its topic. You can delete or suspend the parts you are not studying once it is yours.

What is inside (45 subdecks)

  • Unit 3, Area of Study 1: Data analytics192 cards
    • 1. What data analytics involves6 cards
    • 2. Solution requirements, constraints and scope32 cards
    • 3. Data types12 cards
    • 4. Relational databases12 cards
    • 5. SQL queries23 cards
    • 6. Design tools for databases and spreadsheets11 cards
    • 7. Finding and validating data18 cards
    • 8. Manipulating and cleansing data9 cards
    • 9. Statistical analysis29 cards
    • 10. Data visualisations: purpose and type16 cards
    • 11. Design tools for data visualisations5 cards
    • 12. Formats and conventions for data visualisations11 cards
    • 13. Testing databases, spreadsheets and data visualisations8 cards
  • Unit 3, Area of Study 2: Data analytics, analysis and design128 cards
    • 1. Research questions11 cards
    • 2. Project management and Gantt charts16 cards
    • 3. Collecting primary and secondary data15 cards
    • 4. Data types, structures and preparing data6 cards
    • 5. Data integrity15 cards
    • 6. Collecting data ethically and legally27 cards
    • 7. Managing data10 cards
    • 8. Generating design ideas10 cards
    • 9. Design principles15 cards
    • 10. Evaluation criteria3 cards
  • Unit 4, Area of Study 1: Data analytics, development and evaluation51 cards
    • 1. Manipulating data with software tools6 cards
    • 2. Implementing data security6 cards
    • 3. Designing for a target audience5 cards
    • 4. Developing infographics and dynamic data visualisations6 cards
    • 5. Validating and verifying data quality8 cards
    • 6. Evaluation strategies and criteria13 cards
    • 7. Recording and assessing a project plan7 cards
  • Unit 4, Area of Study 2: Cyber security, data security92 cards
    • 1. Emerging trends in cyber security8 cards
    • 2. Goals, objectives and the importance of data security10 cards
    • 3. Types of threats25 cards
    • 4. Consequences of diminished data integrity5 cards
    • 5. Evaluating security strategies7 cards
    • 6. Legal requirements for data and information security4 cards
    • 7. Notifiable data breaches8 cards
    • 8. Ethical issues in data security4 cards
    • 9. Cryptographic techniques7 cards
    • 10. Disaster recovery8 cards
    • 11. Security controls6 cards

Some of its cards

  • What does testing a spreadsheet formula involve?
    Checking that the formula produces the correct result for the data it is given
  • What is the first step in implementing data security for a solution?
    Putting the chosen security controls in place
  • Participant information statement
    A document given to someone before they take part in data collection, explaining what the research involves and how their data will be used
  • What ethical issue can arise from how an organisation collects and uses data, even where it is legal?
    Whether the collection and use of the data is fair and respects the people it is about, beyond the minimum the law requires
  • Archiving (data)
    Moving data that is no longer needed regularly to separate, less frequently used storage, so it is kept without slowing down current systems
  • What does Australian Privacy Principle (APP) 1 of the Privacy Act 1988 require of an organisation?
    That it manages personal information openly and transparently, such as through a clear privacy policy
  • Gantt chart
    A chart that shows a project's tasks as bars along a timeline, so their timing and overlap can be seen at a glance
  • What is one technique for identifying and extracting authentic data from a large repository?
    Downloading the dataset in a file format the software being used can read
  • What does adjusting the tasks in a project plan involve, once a project is underway?
    Changing what a task involves, or adding or removing tasks, as circumstances change
  • Convention (in a digital solution)
    A commonly accepted way of working with data or representing it, used to keep a solution consistent

And 453 more once you add the deck.