Podcast
Questions and Answers
Which communication method is exclusively required for contacting the instructor?
Which communication method is exclusively required for contacting the instructor?
- Social media platform
- Phone call during office hours
- SCC email system (correct)
- Personal email address
What documentation is accepted for requesting an extension on a test?
What documentation is accepted for requesting an extension on a test?
- An email explaining the situation
- A note from a family member
- A request submitted 24 hours prior to the deadline
- Proof of call for military service (correct)
What is a core concept of this course?
What is a core concept of this course?
- Advanced theoretical physics
- Quantum computing
- Collaborative Learning (correct)
- Organic chemistry
What can students expect to learn about regarding Data Visualization's evolution?
What can students expect to learn about regarding Data Visualization's evolution?
The course utilizes what strategy to enhance understanding and innovation?
The course utilizes what strategy to enhance understanding and innovation?
If a student misses class, what is their responsibility?
If a student misses class, what is their responsibility?
What percentage of the final grade does Exam 1 contribute?
What percentage of the final grade does Exam 1 contribute?
A student wants individual help outside of scheduled class time. How should they proceed?
A student wants individual help outside of scheduled class time. How should they proceed?
A student scores 79.4% in the course. According to the grading policy, what grade will they receive?
A student scores 79.4% in the course. According to the grading policy, what grade will they receive?
Which of the following is NOT a primary outcome assessed by the lab assignments?
Which of the following is NOT a primary outcome assessed by the lab assignments?
A student wants to improve their skills in data visualization outside of the classroom. Considering the course resources, which of the following would be MOST beneficial?
A student wants to improve their skills in data visualization outside of the classroom. Considering the course resources, which of the following would be MOST beneficial?
Which of the following activities would contribute MOST to a student's ability to perform end-to-end analyses of a dataset?
Which of the following activities would contribute MOST to a student's ability to perform end-to-end analyses of a dataset?
A project showcases a student's ability to use various tools and techniques learned in the course. Which assessment element aligns with this description?
A project showcases a student's ability to use various tools and techniques learned in the course. Which assessment element aligns with this description?
Which of the following is the BEST description of the role of data visualization?
Which of the following is the BEST description of the role of data visualization?
A student is struggling to understand a specific data visualization technique in Tableau. Which resource would provide the MOST direct assistance?
A student is struggling to understand a specific data visualization technique in Tableau. Which resource would provide the MOST direct assistance?
The course uses a specific textbook. What is the title of this book?
The course uses a specific textbook. What is the title of this book?
Which of the following is the MOST important consideration when designing data visualization for an audience with limited technical expertise?
Which of the following is the MOST important consideration when designing data visualization for an audience with limited technical expertise?
A company wants to identify potential fraud by analyzing transaction data. Which benefit of data visualization would be MOST helpful in this scenario?
A company wants to identify potential fraud by analyzing transaction data. Which benefit of data visualization would be MOST helpful in this scenario?
A researcher has collected both quantitative and qualitative data. What is the PRIMARY factor they should consider when choosing the appropriate visualization method?
A researcher has collected both quantitative and qualitative data. What is the PRIMARY factor they should consider when choosing the appropriate visualization method?
Which design choice would MOST likely improve the functionality of a data visualization?
Which design choice would MOST likely improve the functionality of a data visualization?
When visualizing data, what is the potential consequence of prioritizing aesthetics over accuracy?
When visualizing data, what is the potential consequence of prioritizing aesthetics over accuracy?
Flashcards
Grading Scale
Grading Scale
A = 80-100%, B = 70-79%, C = 60-69%, D = 50-59%, F = Less than 50%
Lab Assignments
Lab Assignments
Applying tools for visualizing data.
Project
Project
End-to-end data analysis using learned tools.
Data Visualization
Data Visualization
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Tableau
Tableau
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In-Class Hands-On Learning
In-Class Hands-On Learning
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LinkedIn Learning
LinkedIn Learning
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Tableau Online Resources
Tableau Online Resources
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Storytelling with Data
Storytelling with Data
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Visualization Tools Mastery
Visualization Tools Mastery
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Insightful Analysis
Insightful Analysis
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Dynamic Lectures
Dynamic Lectures
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Practical Engagements
Practical Engagements
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Team-Based Exploration
Team-Based Exploration
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Exam
Exam
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Data Visualization Power
Data Visualization Power
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Visualization Benefits
Visualization Benefits
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Elements of Data Visualization
Elements of Data Visualization
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Visualization Selection
Visualization Selection
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Why Visualize Data?
Why Visualize Data?
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Study Notes
- DAB201 is a course on Data Visualization and Reporting.
- The course aims to transform data into compelling visual stories.
Contact Information
- Office hours are available by appointment only.
- Office hours:
- Monday: 11:00 AM to 12:00 PM EST
- Tuesday: 12:00 PM to 01:00 PM EST
- Thursday: 11:00 AM to 12:00 PM EST
- Friday: 12:00 PM to 02:00 PM EST
- Students are encouraged to schedule appointments for office hours and one-on-one meetings.
Class Rules and Expectations
- Treat everyone with kindness and respect.
- Use the SCC email system for correspondence with the instructor.
- Turn off cell phones during class and use laptops for academic work only.
- Be quiet if arriving late, and get missed information from a "homework buddy."
- Extensions on tests/assignments require documentation like :
- A doctor's note
- Bereavement notice
- Copy of a summons/subpoena
- Proof of call for military service.
About This Course
- Covers core concepts
- Includes practical application
- Promotes collaborative learning
- Teaches storytelling with data
- Covers visualization tools mastery
- Provides insightful analysis
Approach
- Dynamic lectures cover data visualization essentials, evolution, and modern applications.
- Translates AI theory into practice through active projects.
- Collaborative learning is leveraged to enhance understanding and innovation.
Evaluation
- Grading Breakdown:
- A: 80-100%
- B: 70-79%
- C: 60-69%
- D: 50-59%
- F: Less than 50%
- Rounding Policy:
- Scores of x.5% or higher round up to the next grade.
- Scores below x.5% remain at the lower grade.
- Assessment Components:
- Exam 1: 25% of final grade, assesses outcomes 1, 2, 3, and 4, and EES 1.
- Exam 2: 25% of final grade, assesses outcomes 5, 6, 7, and 8, and EES 1.
- Lab Assignments: 25% of final grade, frequency is 5, assesses outcomes 2, 3, 4, 5, 6, and 8, and EES 1, 2, 6, and 7.
- Project: 25% of final grade, assesses outcomes 2, 3, 4, 5, 6, 7, and 8, and EES 1, 2, 6, 7, 9, and 10.
Class Schedule
- Week 1: Introduction to Data Visualization and Visual Perception and Confirming Tableau software and License is activated
- Week 2: Getting started with Tableau and Handling Data and Project initiation and group formation, assigned Lab
- Week 3: More Tableau - Visualizing Two Numbers/Build in visuals using Tableau, assigned: Lab
- Week 4: Use of Color in Data Visualization/Create Calculated Field, assigned Lab 1
- Week 5: Data Visualization and Design Considerations/Build Advance Charts, assigned Lab 2
- Week 6: MIDTERM EXAM 25%
- Week 7: Compare and Contrast Real-world Examples/Apply Analytics & Advance Topics, assigned Lab
- Week 8: Typography & Data Visualization Design/Level-of-detail calculations and Work with Multiple Data Sources, assigned Lab 3
- Week 9: Infographics & Design Examples/Create Dashboards, assigned Lab 4
- Week 10: Mapping Data, assigned Lab
- Week 11: Advance Dashboard and Stories, assigned Lab 5
- Week 12: Practical Real-World Example
- Week 13: Final Project Report and Presentations, Project Work 25%
- Week 14: Final Project Report and Presentations, Project Work 25%
- Week 15: FINAL EXAM 25%
Course Materials
- Required textbook: "The Big Book of Dashboards" by Steve Wexler, Jeffrey Shaffer, and Andy Cotgreave.
- Additional Resources:
- Online Platforms: Access to online data visualization communities and forums.
- Software Tools: Introduction to Tableau for data visualization and analysis.
- LinkedIn Learning: Access the LinkedIn platform for additional learning and examples.
- Tableau Learning Resources:
- In-Class Hands-On Learning: Interactive sessions with Tableau.
- Tableau Online Resources: Access Tableau tutorials, guides, and official documentation.
- Practical Exercises: Real-world scenarios for practice using Tableau.
Data Visualization
- Definition: Graphical representation of information and data.
- Significance:
- Transforms complex data sets into understandable visuals.
- Enhances detection of patterns, trends, and outliers in large data sets.
- Facilitates more effective data analysis and decision-making.
The Power of Visualization
- Simplifies complex data
- Reveals hidden insights
- Supports effective decision-making
- Data visualization allows quick data interpretation.
Elements of Data Visualization
- Key Elements:
- Clarity: Visualization is easy to understand.
- Accuracy: Data is represented truthfully and precisely.
- Aesthetics: Visually appealing to engage the audience.
- Functionality: Serves its intended purpose effectively.
Choosing the Right Type of Visualization
- Selection Criteria:
- Data Type: Quantitative vs. Qualitative.
- Audience: Technical expertise and needs.
- Story: Conveyed message/insight.
Studying That Suits You
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Description
Information about the Data Visualization and Reporting course, DAB201. The course teaches students to transform data into visual stories. Includes instructor contact information, and class rules and expectations.
