Explore the Curriculum
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1
Introduction to Data Science
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Introduction to Data Science
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Data Science 1 Glossary: Collecting, Storing & Analysing Data
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Data Science 2 Glossary: Data Quality
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Data Science 3 Glossary: Processing & Presenting Data
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2
Zoom Seminar
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Data Science Online Seminar: Wednesday the 16th of April @ 9:30a.m.
- Setting Up Seminar with Zoom Free preview
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3
Section 1: Collecting, Storing & Analysing Data
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1.1. Quantitative & Qualitative Data
- 1.2. Levels Of Measurement Applied To Data Free preview
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1.3. Data Types
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1.4. Data Sampling
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1.5. Primary & Secondary Data
- 1.6. Informatics Free preview
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1.7. Interpret & Present Data
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1.8. Structured & Unstructured Datasets
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1.9. Methods For Obtaining Feedback
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1.10. Errors, Uncertainty & Limitations Part 1
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1.11. Errors, Uncertainty & Limitations Part 2
- 1.12. Blockchain Technology Free preview
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1.13. Blockchain Examples
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1.14. Software Features That Affect The Privacy & Security Of Data
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1.15. Big Data & Data Warehousing
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1.16. Data Mining
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1.17. The Impact of Data Scale
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1.18. Methods of Data Storage
- Multiple Choice Quiz 1: Collecting, Storing & Analysing Data Free preview
- Short Answer Question Set 1: Collecting, Storing & Analysing Data Free preview
- Case Study Question 1: Collecting, Storing & Analysing Data Free preview
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4
Section 2: Data Quality
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2.1. The Ethical Use Of Data
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2.2. Social, Legal & Ethical Issues
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2.3. Bias
- 2.4. Metadata Free preview
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2.5. Accuracy of Collected Data
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2.6. Copyright & Acknowledgement Of Data Sources
- 2.7. Intellectual Property (IP) Free preview
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2.8. Intellectual Property & ICIP
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2.9. Data Security
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2.10. Legal Issues Related To Data Science
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2.11. Privacy Act 1988
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2.12. Notifiable Data Breaches (NDB's) & The Role Of The OAIC
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2.13. The Influence Of Curated & Communicated Data
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Multiple Choice Quiz 2: Data Quality
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Short Answer Question Set 2: Data Quality
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Case Study Question 2: Data Quality
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5
Section 3: Processing & Presenting Data
- 3.1. Summarise Data Using A Spreadsheet Free preview
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3.2. Collating Information Using A Spreadsheet
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3.3. Filtering, Grouping & Sorting Data in a Spreadsheet
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3.4. Basic Spreadsheet Functions
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3.7. Statistically Analysing Data
- 3.8. Conditional Formatting Free preview
- 3.9. Making Data Comparisons Free preview
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3.10. Charts & Graphs
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3.11. Tables, Filters & Slicers
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3.12. Pivot Tables
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3.13. Pivot Charts
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3.14. Spreadsheet Forms
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3.15. Spreadsheet Reports
- 3.16. The Logical Organisation of Flat-File Databases Free preview
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3.17. Introduction to Data Dictionaries - Student Details
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3.18. Data Dictionary Example: Driver's License Details
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3.19. Data Dictionary Example: Vehicle Details
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3.20. The Logical Organisation of Relational Databases
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3.21. Schematic Diagrams (Schema's) & Database Relationships
- 3.22. Online Movie Stores Free preview
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3.23. School Databases
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3.24. The Roads & Maritime Services (RMS)
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3.25. Normalisation
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3.26. Create A Relational Database By Linking Key Fields
- 3.27. Introduction to Structured Query Language (SQL) Free preview
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3.28. Structured Query Language (SQL): Wildcards
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3.29. Structured Query Language (SQL): Operators
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3.30. Database Forms
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3.31. Database Reports
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3.32. Machine Learning & Statistical Modelling
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Multiple Choice Quiz 3: Processing & Presenting Data
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Short Answer Question Set 3: Processing & Presenting Data
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Case Study Question 3: Processing & Presenting Data
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6
Data Science Activity Sample Answers
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Short Answer Questions 1: Collecting, Storing & Analysing Data Answers
- Case Study Question 1: Collecting, Storing & Analysing Data Answers Free preview
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Short Answer Question Set 2: Data Quality Answers
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Case Study Question 2: Data Quality Answers
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Short Answer Question Set 3: Processing & Presenting Data Answers
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Case Study Question 3: Processing & Presenting Data Answers
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7
Data Science Adminintive Resources
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TEMPLATE: Data Science Notes Document
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SYLLABUS DOCUMENT: Data Science
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COURSE SPECIFICATIONS: Enterprise Computing
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