| Pre-Requisites | None |
| Co-Requisites | None |
| Instructional Hours | 40 |
| Instructional Mode | Lecture |
| Delivery Mode | In-Person / Blended / Online |
This course, Communication Skills for Data Analysts (DA190), focuses on developing effective communication skills for data analysts. Communication is a critical skill for data analysts, as they often need to present their findings and insights to various stakeholders. In this course, students will learn how to present data-driven insights clearly and persuasively through various mediums, such as reports, presentations, and visualizations.
The course will emphasize storytelling with data and communicating technical information to non-technical audiences. By the end of the course, students will have the skills to effectively communicate their data analysis findings to a wide range of audiences.
By the end of this course, students will be able to:
The course content will be presented through a series of lectures and practical exercises. Students will be evaluated through assignments and a final project.
Throughout the semester, students will be given assignments that will require them to present their data analysis findings using various mediums. These assignments will allow students to practice their communication skills and will count towards the overall course grade.
At the end of the semester, students will complete a final project where they will have to present a comprehensive data analysis report. This project will serve as a culmination of the skills learned throughout the course and will count towards a significant portion of the overall course grade.
The following is a general outline of the topics covered in the course:
| Week | Topic |
|---|---|
| 1 | Introduction to Communication Skills for Data Analysts |
| 2 | Understanding Your Audience |
| 3 | Storytelling with Data |
| 4 | Data Visualization Principles |
| 5 | Designing Effective Reports |
| 6 | Presenting Data Insights |
| 7 | Communicating Technical Information to Non-Technical Audiences |
| 8 | Interactive Data Visualization Tools |
| 9 | Ethical Considerations in Data Communication |
| 10 | Data Communication Case Studies |
| 11 | Peer Review and Feedback |
| 12 | Final Project Presentations and Course Reflection |