MYW S03 Episode 05 – Data Literacy Part 3: Communication and Storytelling with Data
Time to pull it all together! In this episode, we wrap up our mini-series on data literacy by discussing how to communicate effectively using data. We cover important things to consider when preparing your talk (or write-up), knowing your audience, and effectively structuring your message. We also briefly talk about data visualization as a tool that can be used to augment your delivery.
Timestamps:
0:50: Why is storytelling important?
2:30: Putting data and stories together
4:38: Preparation: Deciding on your purpose
6:30: Preparation: Knowing the context
9:45: Knowing your audience
22:25: Structuring your presentation or message
28:55: The structure of a story
31:30: Data visualization
34:27: Data viz “commandments” (aka basic tips)
36:15: Effective delivery in presentations
39:40: Effective delivery in documents or manuscripts
41:40: Wrap-up
Mentioned This Episode:
Cicero Public Speaking Cards (https://cicerodeck.com/)
Examples of great storytelling:
The beauty of data visualization – David McCandless (https://www.youtube.com/watch?v=5Zg-C8AAIGg) (chosen by Jose)
Start with why – Simon Sinek (https://www.youtube.com/watch?v=u4ZoJKF_VuA) (chosen by Nicholas)
mindyourworkpodcast@gmail.com (mailto:mindyourworkpodcast@gmail.com) – Email us your ideas or suggestions here!
MindYourWorkIO – Send us a tweet!
Mindyourwork.io – Find us here!
Credits:
Our intro and outro music is “Ingenuity” by Lee Rosevere, licensed under Creative Commons (CC BY-NC 3.0). You can find more of Lee’s music at https://leerosevere.bandcamp.com/ (https://leerosevere.bandcamp.com/). https://leerosevere.bandcamp.com/ (https://leerosevere.bandcamp.com/). Our transition music for this episode is “Bike ride with you” by Ryan Anderson. Licensed under Creative Commons (CC BY-NC 4.0).
Logo Artwork by Antonella Espinoza. Find her at @ellaspin (http://twitter.com/ellaspin) on Twitter!
1 Feb 2021
MYW S03 Episode 04 – Data Literacy Part 2: Analyzing Data
Okay, we’ve got a research question and some data! Now what? In this episode, we talk about common analytical techniques used in the social sciences (particularly industrial and organizational psychology) and what questions they can help answer. We also talk about the only “true” way to demonstrate that X causes Y and cover some common things to watch out for when conducting analysis.
Timestamps:
1:00: Statistics and how we’re teaching them the wrong way
6:10: Describing data vs making inferences with data
9:40: Describing survey data with “percent favorability”
13:55: Why Jose thinks (knows) descriptive stats are great
17:08: Let’s talk about correlations and shark attacks
23:05: T-tests
32:23: Experimental design 101
36:13: Statistical pitfalls
40:48: Wrap-up
Mentioned This Episode:
Tyler Vigen – Spurious Correlations (https://www.tylervigen.com/spurious-correlations)
Science Forum – Ten common statistical mistakes to watch out for (https://elifesciences.org/articles/48175)
mindyourworkpodcast@gmail.com (mailto:mindyourworkpodcast@gmail.com) – Email us your ideas or suggestions here!
MindYourWorkIO – Send us a tweet!
Mindyourwork.io – Find us here!
Credits:
Our intro and outro music is “Ingenuity” by Lee Rosevere, licensed under Creative Commons (CC BY-NC 3.0). You can find more of Lee’s music at https://leerosevere.bandcamp.com/ (https://leerosevere.bandcamp.com/). https://leerosevere.bandcamp.com/ (https://leerosevere.bandcamp.com/). Our transition music for this episode is “Tech Toys” also by Lee; licensed under Creative Commons (CC BY-NC 3.0).
Logo Artwork by Antonella Espinoza. Find her at @ellaspin (http://twitter.com/ellaspin) on Twitter!
11 Jan 2021
MYW S03 Episode 03 – Data Literacy Part 1: Intro and Data Collection
Let’s talk about data literacy. Data is already ubiquitous in our day-to-day lives, so even if you don’t work with data directly, it’s still important to understand it. In this episode, we provide a brief introduction to our three part series on data literacy, which spans the issues of data collection, analysis, and communication/visualization. We also cover the first of these three topics.
Timestamps:
1:30: What is data literacy?
2:35: Why is data literacy important?
4:12: A way of thinking about data: Inputs, processes, and outputs
7:05: Inputs: Data collection and measurement
9:40: General pros and cons of measurement instruments
19:35: Collecting data from the right people at the right time
24:05: Statistical power
24:50: Validity (accuracy) and reliability
31:30: Wrap-up
Mentioned This Episode:
Gartner - A Data and Analytics Leader’s Guide to Data Literacy (https://www.gartner.com/smarterwithgartner/a-data-and-analytics-leaders-guide-to-data-literacy/)
Some episodes covering issues of data literacy:
Why Can’t We Hold All These Personality Models? (https://mindyourwork.io/myw-unscripted-episode-02-why-cant-we-hold-all-these-personality-models/) (Validity and personality)
Bad Behavior at Work (https://mindyourwork.io/myw-s02-episode-04-bad-behavior-at-work/) (Measuring and preventing counterproductive work behavior)
Of Metrics and Interventions (https://mindyourwork.io/myw-unscripted-episode-04-of-metrics-and-interventions/) (Examining the “right” metrics and data quality)
Of Metrics and Interventions - Part 2 (https://mindyourwork.io/myw-unscripted-episode-05-of-metrics-and-interventions-part-2/) (The danger of focusing on too few metrics and how picking metrics can actually influence human behavior)
mindyourworkpodcast@gmail.com (mailto:mindyourworkpodcast@gmail.com) – Email us your ideas or suggestions here!
MindYourWorkIO – Send us a tweet!
Mindyourwork.io – Find us here!
Credits:
Our intro and outro music is “Ingenuity” by Lee Rosevere, licensed under Creative Commons (CC BY-NC 3.0). You can find more of Lee’s music at https://leerosevere.bandcamp.com/ (https://leerosevere.bandcamp.com/). https://leerosevere.bandcamp.com/ (https://leerosevere.bandcamp.com/). Our transition music for this episode is “Places Unseen” also by Lee; licensed under Creative Commons (CC BY-NC 3.0).
Logo Artwork by Antonella Espinoza. Find her at @ellaspin (http://twitter.com/ellaspin) on Twitter!
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