FI1BBAR05 Analysis Reporting
FI1BBAR05 Analysis Reporting
- Course description
- Course codeFI1BBAR05
- Level of study5.1
- Program of studyData Analyst 1
- Credits5
- Course coordinatorBertram Haskins, Alec Du Plessis
This course teaches candidates key report writing skills that compliments the previous prior. Candidates will be taught writing skills needed to guide the report generation process, allowing their analytical work to be presented in a professional paged document for distribution to both technical and non-technical audiences. This course builds on competence from Data Visualization, with an emphasis on static graphics for printed material.
The ability to write concise, accurate, and contextualized data reports in a timely manner is an essential skill for any data analyst regardless of if their field of interest. In this course the candidate will be taught the required skills to create appropriate reports from findings, as well as incorporate the graphics created in the data visualization course. The end product are complete reports that can be distributed to project partners or clients.
The candidate:
- has knowledge of concepts, processes and tools that are used for data reports
- has knowledge of the academic writing language and how to draft analysis for a client target audience
- has insights into using data visualizations to highlight results and findings
- understands the use of universal design principles to create accessible content
The candidate:
- masters relevant tools and techniques to write reports and publications to deliver findings
- can study and review reports to improve the quality of their own work
The candidate:
- understands the ethical principles requires to create effective data reports
- has developed an ethical attitude to writing appropriate reports for broad audience distribution
- can communicate project findings with peers, industry partners, and clients using reports
- can develop client reports as part of project deliverables
In this course, the following teaching and learning methods can be applied, but are not limited to:
- Lecture: Educator-led presentations or activities providing knowledge, skills, or general competencies in the subject area.
- Group work: Collaborative activities where students work together to solve problems or complete tasks.
- Tutoring: One-on-one or small group sessions with an instructor for personalized guidance and support.
- Student presentations: Opportunities for students to demonstrate their understanding of course material by presenting to peers.
- Online lessons: Digital content delivered via an online learning platform.
- Guidance: Individualized advice and direction from instructors to support students in their learning journey.
- Workshops: Practical sessions focused on hands-on application of theoretical concepts or skills.
- Self-study: Independent study where students engage with course material on their own without any teacher support.
Teaching materials, reading lists, and essential resources will be shared in the learning platform and software user manuals where applicable.
| Form of assessment | Grading scale | Grouping | Duration of assessment |
|---|---|---|---|
Course Assignment | Pass / Fail | Group/Individual | 1 Week(s) |