Curriculum
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1
Introduction To Data Visualisation
- Introduction To Data Visualisation Free preview
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Glossary Of Key Terms: Data Visualisation
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2
Zoom Seminar
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Data Visualisation Online Seminar: Wednesday the 23rd of April @ 9:30a.m.
- Setting Up Seminar with Zoom Free preview
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3
Section 1: Using Data To Tell A Story
- 1.1. The Purposes Of Data Visualisations Free preview
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1.2. Features Of Software Supporting Data Visualisations
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1.3. Interpreting & Comparing Datasets
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1.4. The Evolution Of Hardware Supporting Data Analytics
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1.5. Types of Hardware: Processing
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1.6. Types of Hardware: Storage Mediums & Methods
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1.7. Types Of Hardware: Communication Devices
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1.8. Transmission Media
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1.9. Online Analytical Processing (OLAP)
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1.10. Data Integrity In The Development Of Data Visualisations
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1.11. Big Data & Data Warehousing
- 1.12. The Impact Of Enterprise Data Warehousing On Data Visualisation Free preview
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1.13. How Big Data Affects The Design & Development Of Data Visualisation
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1.14. Evaluating Bias When Developing Data Visualisations
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Multiple Choice Quiz 1: Interpreting Data Visualisations
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Short Answer Question Set 1: Interpreting Data Visualisations
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Case Study Question 1: Interpreting Data Visualisations
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4
Section 2: Interpreting Data Visualisations
- 2.1. Software Tools Used To Develop Data Visualisations Free preview
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2.2. Introduction To Spreadsheet Software
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2.3. Spreadsheet Tools Used To Develop Data Visualisations
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2.4. Spreadsheet Tools In Action
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2.5. Introduction To Presentation Software
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2.6. Presentation Tools Used To Develop Data Visualisations
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2.8. Business Analytics Services Used To Develop Data Visualisations
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2.9. Cloud Computing Services
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2.10. Business Analytics Services In Action
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2.11. Custom Software Used To Develop Data Visualisations
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2.12. Interrogate Data From A Data Visualisation
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Multiple Choice Quiz 2: Interpreting Data Visualisations
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Short Answer Question Set 2: Interpreting Data Visualisations
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Case Study Question 2: Interpreting Data Visualisations
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5
Section 3: Designing For User Experience
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3.1. Principles of User Experience (UX)
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3.2. Graphic Design Tools Supporting The Development Of Data Visualisations
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3.3. User Experience (UX) Influencing The Development Of Data Visualisations
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3.4. Criteria For Evaluating User Experience (UX)
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3.5. The Impact Of Emerging Technologies
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Multiple Choice Quiz 3: Designing For User Experience
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Short Answer Question Set 3: Designing For User Experience
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Case Study Question 3: Designing For User Experience
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6
Section 4: Creating Data Visualisations
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4.1. Data Appropriate For A Visualisation
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4.2. Data Visualisation Tools (Spreadsheets)
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4.2a. Visualisation Tools: Charts & Graphs
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4.2b. Visualisation Tools: Tables, Filters & Slicers
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4.2c. Visualisation Tools: Pivot Tables
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4.2d. Visualisation Tools: Pivot Charts
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4.3. Developing Data Visualisations
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4.4. Data Security
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4.4a. Strategies Used to Protect Data Part 1: Password Protection, Biometrics, Multi-Factor Authentication (MFA) & Permissions
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4.4b. Strategies Used to Protect Data Part 2: Encryption, Firewalls, Antivirus & Anti-malware
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4.4c. Strategies Used to Protect Data Part 3: Isolation, Physical Security, Backup & Disaster Recovery
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4.4d. System Access Security Measures
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4.5. Data Backup & Recovery
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Multiple Choice Quiz 4: Creating Data Visualisations
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Short Answer Question Set 4: Creating Data Visualisations
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7
Data Visualisation Activity Sample Answers
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Short Answer Question Set 1: Interpreting Data Visualisations Answers
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Case Study Question 1: Interpreting Data Visualisations Answers
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Short Answer Question Set 2: Interpreting Data Visualisations Answers
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Case Study Question 2: Interpreting Data Visualisations Answers
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Short Answer Question Set 3: Designing For User Experience Answers
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Case Study Question 3: Designing For User Experience Answers
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Short Answer Question Set 4: Creating Data Visualisations Answers
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8
Data Science Support Resources
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TEMPLATE: Data Visualisation Notes Document
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SYLLABUS DOCUMENT: Data Visualisation
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COURSE SPECIFICATIONS: Enterprise Computing
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