Define your purposeBefore you create any data presentation, you need to define your purpose. What is the main message you want to convey with your data? Who is your audience and what do they care about? How will your data presentation support your career development objectives? For example, if you want to show your manager that you have improved your performance, you might want to compare your current and previous results on key indicators. If you want to apply for a new role, you might want to highlight your relevant skills and achievements with data. By defining your purpose, you will be able to focus your data presentation and make it more impactful.

During a presentation, you should pay special attention to the needs of your audience. In a data analysis setting, your audience will likely include your stakeholders or supervisors. They have a vested interest in the work you’ve done, so it is important to communicate your findings to them as clearly as possible. At the end of a presentation, you’ll typically be asked to hold a question and answer (Q&A) session. During the Q&A, your audience can ask you for clarification about what you’ve presented or provide advice about how to proceed. In some cases, you might find that stakeholders don’t know how best to ask a question. Imagine a scenario in which a stakeholder is confused about what you’ve discussed, but is having trouble figuring out how to ask their question in a group setting. With this scenario in mind, consider the following questions:What are some other ways you can receive feedback from your audience and stakeholders?How can you be as inclusive as possible? How can you make your audience feel comfortable asking you for clarification?What creative methods can you use to engage your audience?Submit 3-5 sentences (150-200 words)

Outline the characteristics of an audience that would have to be considered when choosing your presentation method and presentation aids.

What is the primary purpose of data visualization in Business Analytics?  A. To increase the volume of raw data.  B. To interpret complex algorithms.  C. To effectively communicate insights derived from the data.  D. To replace traditional reporting mechanisms entirely.

hat are some common focus areas when creating a scope of work as a data analyst? Select all that apply.1 pointInclude information about data preparationNote any key milestones for the projectSet a schedule for the projectCreate a line chart from the data

Imagine you are a project manager creating an evaluation presentation based on the results of a customer survey. You analyze the data, learn what the data means, and confirm how the data answers your evaluation questions. What is the final step you need to take before presenting your results? 1 pointDraft a data-driven evaluation report with your findings.Think about what is meaningful to your audience.Ask your audience members to complete the customer survey themselves.Shape the story of your findings into a cohesive narrative.