Module 1: Intro to Analytics

.title[
# Module 1: Intro to Analytics
]
.subtitle[
## EME6356: Learning & Web Analytics
]
.author[
### Dr. Bret Staudt Willet
]
.date[
### January 11, 2023
]

---

# <svg aria-hidden="true" role="img" viewBox="0 0 576 512" style="height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M160 32c-35.3 0-64 28.7-64 64V320c0 35.3 28.7 64 64 64H512c35.3 0 64-28.7 64-64V96c0-35.3-28.7-64-64-64H160zM396 138.7l96 144c4.9 7.4 5.4 16.8 1.2 24.6S480.9 320 472 320H328 280 200c-9.2 0-17.6-5.3-21.6-13.6s-2.9-18.2 2.9-25.4l64-80c4.6-5.7 11.4-9 18.7-9s14.2 3.3 18.7 9l17.3 21.6 56-84C360.5 132 368 128 376 128s15.5 4 20 10.7zM256 128c0 17.7-14.3 32-32 32s-32-14.3-32-32s14.3-32 32-32s32 14.3 32 32zM48 120c0-13.3-10.7-24-24-24S0 106.7 0 120V344c0 75.1 60.9 136 136 136H456c13.3 0 24-10.7 24-24s-10.7-24-24-24H136c-48.6 0-88-39.4-88-88V120z"/></svg>

**View the slides:**

[bretsw.com/eme6356-ss23-module1](https://bretsw.com/eme6356-ss23-module1)

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# <svg aria-hidden="true" role="img" viewBox="0 0 576 512" style="height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M320 32c0-9.9-4.5-19.2-12.3-25.2S289.8-1.4 280.2 1l-179.9 45C79 51.3 64 70.5 64 92.5V448H32c-17.7 0-32 14.3-32 32s14.3 32 32 32H96 288h32V480 32zM256 256c0 17.7-10.7 32-24 32s-24-14.3-24-32s10.7-32 24-32s24 14.3 24 32zm96-128h96V480v32h32 64c17.7 0 32-14.3 32-32s-14.3-32-32-32H512V128c0-35.3-28.7-64-64-64H352v64z"/></svg> <br><br> Welcome to EME6356!

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# <svg aria-hidden="true" role="img" viewBox="0 0 576 512" style="height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M320 32c0-9.9-4.5-19.2-12.3-25.2S289.8-1.4 280.2 1l-179.9 45C79 51.3 64 70.5 64 92.5V448H32c-17.7 0-32 14.3-32 32s14.3 32 32 32H96 288h32V480 32zM256 256c0 17.7-10.7 32-24 32s-24-14.3-24-32s10.7-32 24-32s24 14.3 24 32zm96-128h96V480v32h32 64c17.7 0 32-14.3 32-32s-14.3-32-32-32H512V128c0-35.3-28.7-64-64-64H352v64z"/></svg> <br><br> Introduce yourself:

Name

Preferred pronouns

One goal for this course

Favorite piece of writing (a novel, a poem, song lyrics, a movie quote, etc.)

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# <svg aria-hidden="true" role="img" viewBox="0 0 640 512" style="height:1em;width:1.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M506.1 127.1c-17.97-20.17-61.46-61.65-122.7-71.1c-22.5-3.354-45.39 3.606-63.41 18.21C302 60.47 279.1 53.42 256.5 56.86C176.8 69.17 126.7 136.2 124.6 139.1c-7.844 10.69-5.531 25.72 5.125 33.57c4.281 3.157 9.281 4.657 14.19 4.657c7.406 0 14.69-3.375 19.38-9.782c.4062-.5626 40.19-53.91 100.5-63.23c7.457-.9611 14.98 .67 21.56 4.483L227.2 168.2C214.8 180.5 207.1 196.1 207.1 214.5c0 17.5 6.812 33.94 19.16 46.29C239.5 273.2 255.9 279.1 273.4 279.1s33.94-6.813 46.31-19.19l11.35-11.35l124.2 100.9c2.312 1.875 2.656 5.251 .5 7.97l-27.69 35.75c-1.844 2.25-5.25 2.594-7.156 1.063l-22.22-18.69l-26.19 27.75c-2.344 2.875-5.344 3.563-6.906 3.719c-1.656 .1562-4.562 .125-6.812-1.719l-32.41-27.66L310.7 392.3l-2.812 2.938c-5.844 7.157-14.09 11.66-23.28 12.6c-9.469 .8126-18.25-1.75-24.5-6.782L170.3 319.8H96V128.3L0 128.3v255.6l64 .0404c11.74 0 21.57-6.706 27.14-16.14h60.64l77.06 69.66C243.7 449.6 261.9 456 280.8 456c2.875 0 5.781-.125 8.656-.4376c13.62-1.406 26.41-6.063 37.47-13.5l.9062 .8126c12.03 9.876 27.28 14.41 42.69 12.78c13.19-1.375 25.28-7.032 33.91-15.35c21.09 8.188 46.09 2.344 61.25-16.47l27.69-35.75c18.47-22.82 14.97-56.48-7.844-75.01l-120.3-97.76l8.381-8.382c9.375-9.376 9.375-24.57 0-33.94c-9.375-9.376-24.56-9.376-33.94 0L285.8 226.8C279.2 233.5 267.7 233.5 261.1 226.8c-3.312-3.282-5.125-7.657-5.125-12.31c0-4.688 1.812-9.064 5.281-12.53l85.91-87.64c7.812-7.845 18.53-11.75 28.94-10.03c59.75 9.22 100.2 62.73 100.6 63.29c3.088 4.155 7.264 6.946 11.84 8.376H544v175.1c0 17.67 14.33 32.05 31.1 32.05L640 384V128.1L506.1 127.1zM48 352c-8.75 0-16-7.245-16-15.99c0-8.876 7.25-15.99 16-15.99S64 327.2 64 336.1C64 344.8 56.75 352 48 352zM592 352c-8.75 0-16-7.245-16-15.99c0-8.876 7.25-15.99 16-15.99s16 7.117 16 15.99C608 344.8 600.8 352 592 352z"/></svg> Say hello...

### if you're interested in applying analytics in...

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# K-12 schools

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# Higher education

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# Military

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# Healthcare and wellness

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# Business

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# <svg aria-hidden="true" role="img" viewBox="0 0 384 512" style="height:1em;width:0.75em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M32 32C32 14.3 46.3 0 64 0H320c17.7 0 32 14.3 32 32s-14.3 32-32 32H290.5l11.4 148.2c36.7 19.9 65.7 53.2 79.5 94.7l1 3c3.3 9.8 1.6 20.5-4.4 28.8s-15.7 13.3-26 13.3H32c-10.3 0-19.9-4.9-26-13.3s-7.7-19.1-4.4-28.8l1-3c13.8-41.5 42.8-74.8 79.5-94.7L93.5 64H64C46.3 64 32 49.7 32 32zM160 384h64v96c0 17.7-14.3 32-32 32s-32-14.3-32-32V384z"/></svg> <br><br> Canvas tour

https://canvas.fsu.edu/courses/229822/

[Syllabus](https://canvas.fsu.edu/courses/229822/assignments/syllabus)

[Assignments](https://canvas.fsu.edu/courses/229822/pages/look-over-course-assignments)

[Learning Objectives](https://canvas.fsu.edu/courses/229822/pages/review-course-objectives)

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M288 96c0-17.7 14.3-32 32-32s32 14.3 32 32s14.3 32 32 32s32-14.3 32-32c0-53-43-96-96-96s-96 43-96 96V288H160V264c0-30.9-25.1-56-56-56H56c-13.3 0-24 10.7-24 24s10.7 24 24 24h48c4.4 0 8 3.6 8 8v24H32c-17.7 0-32 14.3-32 32s14.3 32 32 32H256 480c17.7 0 32-14.3 32-32s-14.3-32-32-32H400V264c0-4.4 3.6-8 8-8h56c13.3 0 24-10.7 24-24s-10.7-24-24-24H408c-30.9 0-56 25.1-56 56v24H288V96zM480 416V384H32v32c0 53 43 96 96 96H384c53 0 96-43 96-96z"/></svg> <br><br> What is "analytics"?

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<div class="caption">
<p><a href="https://www.youtube.com/embed/eBYQpT4oEbo" target="_blank">Inhi Cho Suh: How to achieve more quality hospital care (with less noise) </a></p>
</div>

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M362.7 19.3L314.3 67.7 444.3 197.7l48.4-48.4c25-25 25-65.5 0-90.5L453.3 19.3c-25-25-65.5-25-90.5 0zm-71 71L58.6 323.5c-10.4 10.4-18 23.3-22.2 37.4L1 481.2C-1.5 489.7 .8 498.8 7 505s15.3 8.5 23.7 6.1l120.3-35.4c14.1-4.2 27-11.8 37.4-22.2L421.7 220.3 291.7 90.3z"/></svg> <br><br> Defining "Analytics"

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M362.7 19.3L314.3 67.7 444.3 197.7l48.4-48.4c25-25 25-65.5 0-90.5L453.3 19.3c-25-25-65.5-25-90.5 0zm-71 71L58.6 323.5c-10.4 10.4-18 23.3-22.2 37.4L1 481.2C-1.5 489.7 .8 498.8 7 505s15.3 8.5 23.7 6.1l120.3-35.4c14.1-4.2 27-11.8 37.4-22.2L421.7 220.3 291.7 90.3z"/></svg> Defining *learning analytics*

- Measurement

- Collection

- Analysis

- Reporting

...of data about learners and their contexts,

for purposes of understanding and optimising learning and the environments in which it occurs.

<div class="caption">
<p><a href="https://www.solaresearch.org/about/what-is-learning-analytics/" target="_blank">Society for Learning Analytics Research (SoLAR)</a></p>
</div>

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M362.7 19.3L314.3 67.7 444.3 197.7l48.4-48.4c25-25 25-65.5 0-90.5L453.3 19.3c-25-25-65.5-25-90.5 0zm-71 71L58.6 323.5c-10.4 10.4-18 23.3-22.2 37.4L1 481.2C-1.5 489.7 .8 498.8 7 505s15.3 8.5 23.7 6.1l120.3-35.4c14.1-4.2 27-11.8 37.4-22.2L421.7 220.3 291.7 90.3z"/></svg> Working definition of *analytics*

**Purpose:** measuring, collecting, analyzing, reporting... with lots of data

**Trade-offs:** different than working "by hand" but can include both quantitative and qualitative data

**Situated identity:** who *does* analytics?

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M362.7 19.3L314.3 67.7 444.3 197.7l48.4-48.4c25-25 25-65.5 0-90.5L453.3 19.3c-25-25-65.5-25-90.5 0zm-71 71L58.6 323.5c-10.4 10.4-18 23.3-22.2 37.4L1 481.2C-1.5 489.7 .8 498.8 7 505s15.3 8.5 23.7 6.1l120.3-35.4c14.1-4.2 27-11.8 37.4-22.2L421.7 220.3 291.7 90.3z"/></svg> <br><br> Recursive definition of *analytics*

*Data analytics is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove existing models or theories.*

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M362.7 19.3L314.3 67.7 444.3 197.7l48.4-48.4c25-25 25-65.5 0-90.5L453.3 19.3c-25-25-65.5-25-90.5 0zm-71 71L58.6 323.5c-10.4 10.4-18 23.3-22.2 37.4L1 481.2C-1.5 489.7 .8 498.8 7 505s15.3 8.5 23.7 6.1l120.3-35.4c14.1-4.2 27-11.8 37.4-22.2L421.7 220.3 291.7 90.3z"/></svg> <br><br> Recursive definition of *analytics*

Q: What is data analytics?

Q: What is performance analytics?

Q: What is learning analytics?

Q: What is web analytics?

Q: What are applications of big data?

Q: Are there any ethical concerns about data analytics?

Q: What should graduate students learn about data analytics?

**https://beta.openai.com/playground/**

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<div class="caption">
<p>
Staudt Willet, K. B., & Carpenter, J. P. (2021). A tale of two subreddits: Change and continuity in teaching-related online spaces. <em>British Journal of Educational Technology, 52</em>(2), 714-733. <a href="https://doi.org/10.1111/bjet.13051" target="_blank">doi:10.1111/bjet.13051</a>
</p>
</div>

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Made with [Midjourney](https://www.midjourney.com/home/)

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Try it on [Discord](https://discord.com/channels/)

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<img src="img/1-heart-rate.png" width="100%" style="display: block; margin: auto;" />
--

**Analytics is really just applications of correlations (i.e., fancy math)**

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# <svg aria-hidden="true" role="img" viewBox="0 0 128 512" style="height:1em;width:0.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M96 64c0-17.7-14.3-32-32-32S32 46.3 32 64V320c0 17.7 14.3 32 32 32s32-14.3 32-32V64zM64 480c22.1 0 40-17.9 40-40s-17.9-40-40-40s-40 17.9-40 40s17.9 40 40 40z"/></svg> <br><br> What is "analytics" *not*?

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- magic

- a substitute teacher

- a test proctor

- oil

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# <svg aria-hidden="true" role="img" viewBox="0 0 640 512" style="height:1em;width:1.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M181.5 197.1l12.9 6.4c5.9 3 12.4 4.5 19.1 4.5c23.5 0 42.6-19.1 42.6-42.6V144c0-35.3-28.7-64-64-64H128c-35.3 0-64 28.7-64 64v21.4c0 23.5 19.1 42.6 42.6 42.6c6.6 0 13.1-1.5 19.1-4.5l12.9-6.4 8.4-4.2L135.1 185c-4.5-3-7.1-8-7.1-13.3V168c0-13.3 10.7-24 24-24h16c13.3 0 24 10.7 24 24v3.7c0 5.3-2.7 10.3-7.1 13.3l-11.8 7.9 8.4 4.2zm-8.6 49.4L160 240l-12.9 6.4c-12.6 6.3-26.5 9.6-40.5 9.6c-3.6 0-7.1-.2-10.6-.6v.6c0 35.3 28.7 64 64 64h64c17.7 0 32 14.3 32 32s-14.3 32-32 32H384V336 320c0-23.7 12.9-44.4 32-55.4c9.4-5.4 20.3-8.6 32-8.6V240c0-26.5 21.5-48 48-48c8.8 0 16 7.2 16 16v32 16 48c0 8.8 7.2 16 16 16s16-7.2 16-16V204.3c0-48.2-30.8-91-76.6-106.3l-8.5-2.8c-8-2.7-12.6-11.1-10.4-19.3s10.3-13.2 18.6-11.6l19.9 4C576 86.1 640 164.2 640 254.9l0 1.1h0c0 123.7-100.3 224-224 224h-1.1H256h-.6C132 480 32 380 32 256.6V256 216.8c-10.1-14.6-16-32.3-16-51.4V144l0-1.4C6.7 139.3 0 130.5 0 120c0-13.3 10.7-24 24-24h2.8C44.8 58.2 83.3 32 128 32h64c44.7 0 83.2 26.2 101.2 64H296c13.3 0 24 10.7 24 24c0 10.5-6.7 19.3-16 22.6l0 1.4v21.4c0 1.4 0 2.8-.1 4.3c12-6.2 25.7-9.6 40.1-9.6h8c17.7 0 32 14.3 32 32s-14.3 32-32 32h-8c-13.3 0-24 10.7-24 24v8h56.4c-15.2 17-24.4 39.4-24.4 64H320c-42.3 0-78.2-27.4-91-65.3c-5.1 .9-10.3 1.3-15.6 1.3c-14.1 0-27.9-3.3-40.5-9.6zM96 160c-8.8 0-16-7.2-16-16s7.2-16 16-16s16 7.2 16 16s-7.2 16-16 16zm144-16c0 8.8-7.2 16-16 16s-16-7.2-16-16s7.2-16 16-16s16 7.2 16 16z"/></svg> <br><br> Analytics Sandbox

[**OneDrive folder**](https://fsu-my.sharepoint.com/:f:/g/personal/kstaudtwillet_fsu_edu/EiMWMeI3JP9JpSDUOICnaQ4Bq0UNYZG_sHL6yUcTUkX9CA?e=atnrVB)

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M128 32h32c17.7 0 32 14.3 32 32V96H96V64c0-17.7 14.3-32 32-32zm64 96V448c0 17.7-14.3 32-32 32H32c-17.7 0-32-14.3-32-32V388.9c0-34.6 9.4-68.6 27.2-98.3C40.9 267.8 49.7 242.4 53 216L60.5 156c2-16 15.6-28 31.8-28H192zm227.8 0c16.1 0 29.8 12 31.8 28L459 216c3.3 26.4 12.1 51.8 25.8 74.6c17.8 29.7 27.2 63.7 27.2 98.3V448c0 17.7-14.3 32-32 32H352c-17.7 0-32-14.3-32-32V128h99.8zM320 64c0-17.7 14.3-32 32-32h32c17.7 0 32 14.3 32 32V96H320V64zm-32 64V288H224V128h64z"/></svg> <br><br> Looking ahead

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M128 32h32c17.7 0 32 14.3 32 32V96H96V64c0-17.7 14.3-32 32-32zm64 96V448c0 17.7-14.3 32-32 32H32c-17.7 0-32-14.3-32-32V388.9c0-34.6 9.4-68.6 27.2-98.3C40.9 267.8 49.7 242.4 53 216L60.5 156c2-16 15.6-28 31.8-28H192zm227.8 0c16.1 0 29.8 12 31.8 28L459 216c3.3 26.4 12.1 51.8 25.8 74.6c17.8 29.7 27.2 63.7 27.2 98.3V448c0 17.7-14.3 32-32 32H352c-17.7 0-32-14.3-32-32V128h99.8zM320 64c0-17.7 14.3-32 32-32h32c17.7 0 32 14.3 32 32V96H320V64zm-32 64V288H224V128h64z"/></svg> Looking ahead

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# <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M128 0c17.7 0 32 14.3 32 32V64H288V32c0-17.7 14.3-32 32-32s32 14.3 32 32V64h48c26.5 0 48 21.5 48 48v48H0V112C0 85.5 21.5 64 48 64H96V32c0-17.7 14.3-32 32-32zM0 192H448V464c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V192zm80 64c-8.8 0-16 7.2-16 16v96c0 8.8 7.2 16 16 16h96c8.8 0 16-7.2 16-16V272c0-8.8-7.2-16-16-16H80z"/></svg> Semester schedule

- **Module 1:** Intro to Analytics

- **Module 2:** Performance Analytics

- **Module 3:** Learning Analytics

- **Module 4:** Web Analytics

- **Module 5:** Data Visualization

- **Module 6:** Ethics in Learning Analytics

- **Module 7:** Future of Analytics

- **Module 8:** Case Discussions

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- <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M306.7 325.1L162.4 380.6C142.1 388.1 123.9 369 131.4 349.6L186.9 205.3C190.1 196.8 196.8 190.1 205.3 186.9L349.6 131.4C369 123.9 388.1 142.1 380.6 162.4L325.1 306.7C321.9 315.2 315.2 321.9 306.7 325.1V325.1zM255.1 224C238.3 224 223.1 238.3 223.1 256C223.1 273.7 238.3 288 255.1 288C273.7 288 288 273.7 288 256C288 238.3 273.7 224 255.1 224V224zM512 256C512 397.4 397.4 512 256 512C114.6 512 0 397.4 0 256C0 114.6 114.6 0 256 0C397.4 0 512 114.6 512 256zM256 48C141.1 48 48 141.1 48 256C48 370.9 141.1 464 256 464C370.9 464 464 370.9 464 256C464 141.1 370.9 48 256 48z"/></svg> Explore

- <svg aria-hidden="true" role="img" viewBox="0 0 640 512" style="height:1em;width:1.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M208 0C322.9 0 416 78.8 416 176C416 273.2 322.9 352 208 352C189.3 352 171.2 349.7 153.9 345.8C123.3 364.8 79.13 384 24.95 384C14.97 384 5.93 378.1 2.018 368.9C-1.896 359.7-.0074 349.1 6.739 341.9C7.26 341.5 29.38 317.4 45.73 285.9C17.18 255.8 0 217.6 0 176C0 78.8 93.13 0 208 0zM164.6 298.1C179.2 302.3 193.8 304 208 304C296.2 304 368 246.6 368 176C368 105.4 296.2 48 208 48C119.8 48 48 105.4 48 176C48 211.2 65.71 237.2 80.57 252.9L104.1 277.8L88.31 308.1C84.74 314.1 80.73 321.9 76.55 328.5C94.26 323.4 111.7 315.5 128.7 304.1L145.4 294.6L164.6 298.1zM441.6 128.2C552 132.4 640 209.5 640 304C640 345.6 622.8 383.8 594.3 413.9C610.6 445.4 632.7 469.5 633.3 469.9C640 477.1 641.9 487.7 637.1 496.9C634.1 506.1 625 512 615 512C560.9 512 516.7 492.8 486.1 473.8C468.8 477.7 450.7 480 432 480C350 480 279.1 439.8 245.2 381.5C262.5 379.2 279.1 375.3 294.9 369.9C322.9 407.1 373.9 432 432 432C446.2 432 460.8 430.3 475.4 426.1L494.6 422.6L511.3 432.1C528.3 443.5 545.7 451.4 563.5 456.5C559.3 449.9 555.3 442.1 551.7 436.1L535.9 405.8L559.4 380.9C574.3 365.3 592 339.2 592 304C592 237.7 528.7 183.1 447.1 176.6L448 176C448 159.5 445.8 143.5 441.6 128.2H441.6z"/></svg> Discuss (in class or on Canvas)

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### Analytics Assignments (60%)

- Analytics Problem Plan (100 points)

- Analytics Practice (200 points)

- Analytics Case Presentation (200 points; group project)

- Analytics Ethics Statement (100 points)

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# <svg aria-hidden="true" role="img" viewBox="0 0 576 512" style="height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M249.6 471.5c10.8 3.8 22.4-4.1 22.4-15.5V78.6c0-4.2-1.6-8.4-5-11C247.4 52 202.4 32 144 32C87.5 32 35.1 48.6 9 59.9c-5.6 2.4-9 8-9 14V454.1c0 11.9 12.8 20.2 24.1 16.5C55.6 460.1 105.5 448 144 448c33.9 0 79 14 105.6 23.5zm76.8 0C353 462 398.1 448 432 448c38.5 0 88.4 12.1 119.9 22.6c11.3 3.8 24.1-4.6 24.1-16.5V73.9c0-6.1-3.4-11.6-9-14C540.9 48.6 488.5 32 432 32c-58.4 0-103.4 20-123 35.6c-3.3 2.6-5 6.8-5 11V456c0 11.4 11.7 19.3 22.4 15.5z"/></svg> Module 1 readings

- 1.1 Educational Research: The Hardest Science of All (Berliner, 2002)

- 1.2 Odds Are, It’s Wrong (Siegfried, 2010)

- 1.3 “The Numbers Speak for Themselves:” Data Use and the Organization of Schooling in Two Florida Elementary Schools (Rutledge & Neal, 2013)

- 1.4 Big Data Analytics (Russom, 2011)

- 1.5 Data Science and Its Relationship to Big Data and Data-Driven Decision Making (Provost & Fawcett, 2013)

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# <svg aria-hidden="true" role="img" viewBox="0 0 320 512" style="height:1em;width:0.62em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M96 96c-17.7 0-32 14.3-32 32s-14.3 32-32 32s-32-14.3-32-32C0 75 43 32 96 32h97c70.1 0 127 56.9 127 127c0 52.4-32.2 99.4-81 118.4l-63 24.5 0 18.1c0 17.7-14.3 32-32 32s-32-14.3-32-32V301.9c0-26.4 16.2-50.1 40.8-59.6l63-24.5C240 208.3 256 185 256 159c0-34.8-28.2-63-63-63H96zm48 384c-22.1 0-40-17.9-40-40s17.9-40 40-40s40 17.9 40 40s-17.9 40-40 40z"/></svg> <br><br> Questions

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**What questions can I answer for you now?**

**How can I support you this week?**

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