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<a href="https://DataScience4Psych.github.io/DataScience4Psych/" target="_blank">Data Science for Psychologists</a>

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# Title Slides

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## Main Title Slide: Introduce the presentation.
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## Section Title Slide: Introduce a new section or topic.

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## Subsection Title Slide: Introduce a new subsection or subtopic.
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Overview Slide: Provide a high-level summary of the presentation.
Objectives Slide: State the goals or objectives of the presentation.

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# Welcome to [Course/Topic Name]

🐱

.large[
Welcome to our journey through [Course/Topic Name]. We'll explore together, learn, and grow.
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# Content Slides: Text

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# Simple Text Slide: Present a single concept or statement.

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# Simple Text Slide

Present a single concept or statement.

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# Bullet Points Slides: List key points or ideas.
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## Simple Bullet Points
- Interactive
  - Some lectures, lots of learn-by-doing
- Meet twice a week 
	- Tuesday are Face-to-Face Tutorials
	- Thursdays are Solidarity Sessions
- Bring your laptop! 💻
- Flipped Lectures
	- Pre-recorded Lectures
	- Module is finalized by the week's start
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## Dynamic Bullet Points
- Interactive
  - Some lectures, lots of learn-by-doing
--

- Meet twice a week 
	- Tuesday are Face-to-Face Tutorials
	- Thursdays are Solidarity Sessions
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- Bring your laptop! 💻

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- Flipped Lectures
	- Pre-recorded Lectures
	- Module is finalized by the week's start
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## Numbered List Slide: List items in a specific order.
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## Quote Slide: Highlight a significant quote or statement.

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## Quote Slide

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class: middle

# More Complicated Slides

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## Your turn

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**Option 1.**

- On Github, download the assignment called `AE01a - UN Votes`.
- In the Files pane in the bottom right corner, spot the file called `unvotes.Rmd`. Open it, and then click on the "Knit" button.
- Go back to the file and change your name on top (in the `yaml` -- we'll talk about what this means later) and knit again.
- Change the country names to those you're interested in. Your spelling and capitalization should match how the countries appear in the data, so take a peek at the Appendix to confirm spelling. Knit again. Voila, your first data visualization!

]

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## Question Slide: Pose a question to the audience.

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Near-term goals:

- Are the tables and figures reproducible from the code and data?
- Does the code actually do what you think it does?
- In addition to what was done, is it clear **why** it was done? 
(e.g., how were parameter settings chosen?)

Long-term goals:

- Can the code be used for other data?
- Can you extend the code to do other things?

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## Tip Slide: Share a helpful tip or suggestion.
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# Tip Slide

.small[
.instructions[
Go to [your_instruction_link](https://yourlinkhere.com/), and perform the action (unless you already have done so). 
]
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- Tip 1 with your content.

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- Tip 2 with your content.
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- Tip 3 with your content.
- More tips as needed.

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.small[ 
✦ Source: [Your Source Name](http://yoursourceurl.com) by Author/Creator Name
]

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## What is data science?

- + = data science?
--

- + = data science?
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- + + = data science?
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- + + = data science?
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.large[
Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. We're going to learn to do this in a `tidy` way -- more on that later!
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## Nested subpoints

.pull-left-narrow[
.xlarge[
+ Point 1 
+ Point 2 
+ Point 3 
]
]
.pull-right-wide[
.white[.] 
 
{{content}}
]

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+ Subpoint 1
 + Detail 1
 
{{content}}

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+ Subpoint 2
 + Detail 2
 
{{content}}

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+ Subpoint 3
 + Detail 3
 
{{content}}

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# Visual Slides
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Image Slide: Display an image prominently.

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# Image Slide full scale external

![Image Description](data:image/png;base64,#https://datascience4psych.github.io/DataScience4Psych/assets/logo.png)

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# Image Slide full scale internal
![Image Description](data:image/png;base64,#img/logo.png)

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## Let's take a tour - R / RStudio

- Console
- Using R as a calculator
- Environment
- Loading and viewing a data frame
- Accessing a variable in a data frame
- R functions

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## Image with Caption Slide: Display an image with an explanatory caption.
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Side-by-Side Image and Text Slide: Present an image alongside descriptive text.
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## Side-by-Side Image and Text

.pull-left[
<img src="data:image/png;base64,#img/logo.png" width="60%" style="display: block; margin: auto;" />
]
.pull-right[
Your text here.
]
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## Side-by-Side Text and Image
.pull-left[
Your text here.
]
.pull-right[
<img src="data:image/png;base64,#img/logo.png" width="60%" style="display: block; margin: auto;" />
]

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Full-Width Image Slide: Use an image as the background for the slide.
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# Data Slides

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# Simple Chart Slide: Display a chart or graph.
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# Complex Data Visualization Slide: Present detailed data visualizations.
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# Table Slide: Display tabular data.
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Infographic Slide: Use graphics to represent data visually.

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# Code Slides

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Code Chunk Slide: Display a block of code.
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## Code Chunk Slide with commentary

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## Working with R at the command line (pt 2)

- Go into the Console, where we interact with the live R process.
- Make an assignment and then inspect the object you just created:

``` r
x <- 3 * 4
x
```

```
## [1] 12
```

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Code with Output Slide: Show code alongside its output.
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# Interactive Slides

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FAQ Slide: Answer common questions.
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Interactive Poll Slide: Engage the audience with a poll.
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Think-Pair-Share Slide: Encourage audience participation.
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Link Slide: Provide important links or resources.

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## Q&A Slide: Allow for audience questions.

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# What is this course?

This course is an introduction to data science that is designed for psychologists. It emphasizes statistical thinking and best practices.
 
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**Q - What data science background does this course assume?** 
A - None.
 
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**Q - Is this an intro CS course?** 
A - Although statistics and computer science `\(\ne\)` data science, they are very closely related and have tremendous of overlap. Hence, this course is a great way to get comfortable with those topics. However this course is **not** your typical course.
 
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**Q - Will we be doing computing?** 
A - Yes.
 
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**Q - What computing language will we learn?** 
A - R.
 
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**Q: Why not language X?**  
A: We can discuss that *remotely* over ☕.

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# Discussion Slide: Facilitate a group discussion.

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## Let's Discuss

- What is your understanding of [Topic/Question]?
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- How do you see [Topic/Question] applying to your work/life?

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# Custom Background Slides

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Custom Background with Text: Add text over a custom background.
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Custom Background with Data Visualization: Display data visualizations over a custom background.

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Summary and Conclusion Slides

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Summary Slide: Summarize key points.
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Conclusion Slide: Provide final thoughts or a call to action.

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Next Steps Slide: Outline next steps or actions to be taken.

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## Contact Information Slide: Share contact details for follow-up.

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## Contact Information

- Email: _garrissm@wfu.edu_
- Website: [smasongarrison.com](https://www.smasongarrison.com)
- Twitter: [@smasongarrison](https://twitter.com/smasongarrison)
- GitHub: [github.com/smasongarrison](https://github.com/smasongarrison)
- YouTube: [youtube.com/smasongarrison](https://youtube.com/smasongarrison)