## DATA SCIENCE DEFINITION

### Slide Content

The slide is focused on defining the interdisciplinary field of Data Science. It breaks down the concept into three critical components: Data, illustrating the raw materials that data scientists work with; Business, signifying how data science applies to commercial and organizational contexts; and Statistics, indicating the mathematical foundation used for analyzing data. Each element signals how these domains intersect to create the realm of Data Science.

### Graphical Look

- The slide features a high-quality background image showing a person working on a laptop, partially visible, which creates a professional context.
- Three overlapping circles with varying shades of blue, green, and yellow are positioned in the center of the slide, forming a Venn diagram.
- Each circle includes an icon and a label: a blue circle with a database icon and the word "DATA," a green circle with a briefcase icon captioned "BUSINESS," and a yellow circle with a statistical chart icon labeled "STATISTICS."
- The slide title "DATA SCIENCE DEFINITION" is prominently displayed in a large, white sans-serif font at the top of the slide.
- The icons are simplistic and modern, complementing the text labels with which they are associated.
- An overall opaqueness to the circles allows some transparency, showing the background imagery through the diagram.

The slide presents a sleek and modern visual alignment, with a Venn diagram as the centerpiece to demonstrate the relationship between different aspects of Data Science. The use of transparency, color, and clean icons provides a visually engaging and easy-to-understand depiction of the subject matter.

### Use Cases

- Introducing the concept of Data Science in educational or corporate training settings.
- Starting a presentation on data analytics to provide a foundational understanding.
- Explaining the value of data science in business strategy and decision-making.
- Using as part of a pitch to stakeholders or investors to highlight the multidisciplinary nature of Data Science.