1. Data Science Meetup Matthew Renze Data Science Consultant
1/12/2019 7:06 AM
Data Science Meetup
Matthew Renze
Data Science Consultant
Welcome to the Microsoft Ignite Data Science Meetup!
I’m Matthew Renze…
… and I’ll be your host for the next 45 minutes.
First things first… full disclosure…
… this is my very first every meetup…
…. so I have no idea what I’m doing.
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2. 1/12/2019 7:06 AM So, like any good data-science consultant, …
… I decided to mitigate the risk of epic failure…
… by making this a “data-driven” meet-up.
As a result, I’ve applied a data-science mindset …
… to each aspect of this meetup…
… to try making each part as successful as possible.
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3. Why Attend Meetups? Networking Learning Sharing 1/12/2019 7:06 AM
Since I really had no idea where to start …
… I decided to do a bit of research …
… to see why someone might attend one of these meetups.
The top three reasons I found that people attend meetups are for…
[1] … networking with others,
[2] … learning something new,…
[3] … and sharing information.
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4. Agenda Networking  Introductions Learning  Presentation Sharing
1/12/2019 7:06 AM
Agenda
Networking
Learning
Sharing
 Introductions
 Presentation
 Open Q & A
So, based on this information, I constructed an agenda…
… that will hopefully meet all of your objectives today.
First we’ll start with a bit of networking …
… [1] … by introducing ourselves to get to know one another.
Next, we’ll learn something new …
… [2] … with a short presentation on the future of data science.
Finally, we’ll share our own insight, knowledge, and experiences…
… [3] … in an open Q & A discussion.
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5. 1/12/2019 7:06 AM
Networking
First, let’s begin with a bit of networking.
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6. About Me Data Science Consultant Education Community
B.S. in Computer Science
B.A. in Philosophy
Community
Public Speaker
Pluralsight Author
Microsoft MVP
ASPInsider
Open-source Software
Before we begin though, I’d like to tell you a bit about me: who I am, where I come from, and why I’m interested in this topic.
I’m an independent data science consultant with over 17 years of professional experience.
I have double degrees in Computer Science and Philosophy, with a minor in Economics, and a focus on Artificial Intelligence and Machine Learning from ISU.
I’m an international public speaker, an author for Plurasight,, a Microsoft MVP, an ASPInsider,…
… and I’ve created a few pretty cool open-source software projects.
[Pause]

7. Introductions What is your name? What do you do? Why did you attend?
I’d like you to take the next five minutes…
… to get to know the neighbors at your table.
Start out by going around the table …
… and answering the following three questions…
[1] What is your name?
[2] What do you do?
[3] Why did you attend?
Feel free to use any left-over time …
… to go deeper in your conversations.
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8. Online Survey http://etc.ch/MZPy 1/12/2019 7:06 AM
Since this is a data-science meetup…
… let’s also take a few minutes …
… to do a more “data-driven” introduction as well.
So please navigate the URL on the screen…
... so we can all introduce ourselves …
… to the group, demographically.
[ADMIN URL:
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9. 1/12/2019 7:06 AM
Presentation
Next, we’ll have a quick presentation on data science.
The primary purpose of this presentation…
… is to hopefully learn something new…
… about the future of data science.
However, it’s also intended to get us thinking about questions …
… for our Open Q & A session …
… so that we can get the most value …
… out of these questions and answers.
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10. Open Q&A Link goo.gl/slides/qzv8pk 1/12/2019 7:06 AM
So, I’d like to provide you with the link to the Q&A application first…
… so that you can be typing in questions as they come to you.
Then we’ll vote on which questions the group finds most interesting…
… so that we can get the most value out of our Q&A session …
… by discussing questions ranked in order of their appeal to the audience.
Please keep in mind that these can be any questions about data science…
… not just questions for me about the content of the presentation.
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11. Open Q & A 1/12/2019 7:06 AM Now let’s switch over to open Q & A.
hFm3JfCqRujYIJI8P0talVCu3bmg27s99rmYVH5YE/edit?usp=sharing
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12. Open Q&A Link goo.gl/slides/qzv8pk 1/12/2019 7:06 AM
Here’s that Q&A link again so that you can go in the application…
… and start ranking the questions in order of your preference.
We’ll take just a minute or two …
… to give everyone an opportunity…
… to add final questions…
… and vote on your favorite questions.
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13. Where to Go Next? 1/12/2019 7:06 AM Alright, so what now?
… where do we go next?
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14. Additional Networking Resources
1/12/2019 7:06 AM
Additional Networking Resources
Online groups
Local meetups
Conferences
For additional opportunities to network with others interested in data science, …
… I recommend the following networking resources:
[1] Online groups – on social network sites like LinkedIn, Facebook, and twitter
[2] Local meetups – like local user groups and professional networking events
[3] and other conferences – like Ignite, Strata, and KDD.
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15. Additional Learning Resources
Data Science: The Big Picture Data Science with R Exploratory Data Analysis with R Data Visualization with R (3-part)
If you’re interested in learning more about data science …
… I have several courses on Pluralsight on all of these topics, including:
[NAME COURSES]
Be sure to check out these courses…
… and all of my other courses on my authors page.

16. Additional Sharing Resources
1/12/2019 7:06 AM
Additional Sharing Resources
Articles and blogs
Public speaking
Open source
If you’re interested in sharing your knowledge and experience with others…
… I recommend the following resources for sharing information.
[1] Writing articles for content providers… and blogs for your website
[2] speaking in public at user groups, conferences, and other events
[3] contributing to open-source data-science projects
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17. Finally, be sure to use me and my website as a resource as well.
I have tons of articles, courses, presentations, and open-source software, covering this topic and more.
In addition, feel free to book me for one-on-one consulting, training, and mentoring.
If you, your team, or your organization…
… want to learn how to make better decisions with data science…
… be sure to get in contact with me… I’d love to help!

18. Feedback
Very important to me! What did you like? What could I improve?
One last thing… feedback is very important to me.
I use feedback to continuously improve my workshops every time I give them.
Please let me know:
- one thing you liked about my presentation
- and one thing you think I could improve upon
This information typically helps me out more than the quantitative metrics.
I promise you won’t hurt my feelings.

19. Conclusion Networked Learned Shared
In conclusion, today we attempted achieve three objectives during this meetup:
We networked and (hopefully) made a few new friends.
We learned something new about the future of data science.
… and we shared our insight with others in an open Q & A discussion.
[Pause]

20. Thank You! Matthew Renze Data Science Consultant Renze Consulting
Website:
Thank You!

21. 1/12/2019 7:06 AM
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.