Create a syllabus for a Tableau course for business analysts.
Data Visualization and Dashboarding
CS 415 - Fall 2023
Course Description
This course covers the fundamental principles and best practices of data visualization and dashboarding for business analysts and data professionals. Students will learn how to effectively communicate data insights through visual storytelling, dashboard design, and hands-on technical skills in industry-standard tools like Tableau and PowerBI. The course culminates in a capstone project where students build an interactive dashboard to analyze real-world business data.
Learning Objectives
By the end of this course, students will be able to:
- Apply data visualization best practices to create clear, compelling charts and graphs
- Choose the appropriate chart types for different data types and analysis goals
- Design user-friendly, interactive dashboards that align with business objectives
- Communicate data insights through storytelling and narrative techniques
- Develop proficiency in Tableau and PowerBI for data visualization and dashboarding
- Integrate data from multiple sources to build comprehensive dashboards
- Complete a capstone project demonstrating mastery of data visualization and dashboarding skills
Required Materials
- Tableau Desktop (free student license)
- PowerBI Desktop (free)
- Storytelling with Data by Cole Nussbaumer Knaflic (ISBN: 978-1119002253)
- The Big Book of Dashboards by Steve Wexler, et al. (ISBN: 978-1119282716)
Grading Breakdown
- Weekly data visualization assignments (25%)
- Midterm dashboard project (20%)
- Capstone dashboard project (30%)
- Class participation and discussion (15%)
- Quizzes (10%)
Weekly Schedule
- Introduction to Data Visualization
- The Psychology of Visual Perception
- Chart Types and Best Practices
- Dashboard Design Principles
- Data Storytelling and Narrative
- Intro to Tableau
- Tableau Charts and Graphs
- Tableau Dashboards and Interactivity
- Midterm Dashboard Project
- Intro to PowerBI
- PowerBI Data Modeling and DAX
- PowerBI Visualizations and Dashboards
- Advanced Dashboard Techniques
- Capstone Project Work
- Capstone Project Presentations
Course Policies
- Attendance and participation in class is expected
- Late assignments will be penalized 10% per day
- All work must be original and adhere to academic integrity standards
- Consult the student handbook for university policies on academic honesty, accommodations, etc.
Instructor Information
Prof. Jane Smith
Email: jsmith@university.edu
Office Hours: Tues 2-4pm, Thurs 10am-12pm
Office Location: Science Building 415