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Duct Tape Data Science: Just Enough Data Science

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If you’re teaching yourself data science and want to know how Alteryx can help you learn more and apply it to your own use cases, this session is for you. Learn about the data science-y parts of Alteryx and how to use them with open courseware. After that, learn how to actually apply those tools to the real-world problems you need to solve.

David Wilcox - Senior Software Engineer, Alteryx
JP Kabler - Senior Software Engineer, Alteryx

Published in: Data & Analytics
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Duct Tape Data Science: Just Enough Data Science

  1. 1. # A L T E R Y X 1 9 PRESENTED BY DUCT TAPE DATA SCIENCE: JUST ENOUGH DATA SCIENCE TO GET THE JOB DONE JP Kabler jkabler@alteryx.com David Wilcox dwilcox@alteryx.com
  2. 2. # A L T E R Y X 1 9 2 With Alteryx, I can build shareable, reusable, transparent, and easy-to-explain chunks of my ideas, brought to life. JP KABLER When I use Alteryx, I feel liberated to focus on the actual business problems, not the mundane drudgery. A L T E R Y X U S E R S I N C E 2 0 1 6
  3. 3. # A L T E R Y X 1 9 3 With Alteryx, I can turn data into information and discover amazing insights. DAVID WILCOX When I use Alteryx, I feel like I’m playing my favorite game. A L T E R Y X U S E R S I N C E 2 0 1 5
  4. 4. # A L T E R Y X 1 9 FORWARD-LOOKING STATEMENTS This presentation includes “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements may be identified by the use of terminology such as “believe,” “may,” “will,” “intend,” “expect,” “plan,” “anticipate,” “estimate,” “potential,” or “continue,” or other comparable terminology. All statements other than statements of historical fact could be deemed forward-looking, including any projections of product availability, growth and financial metrics and any statements regarding product roadmaps, strategies, plans or use cases. Although Alteryx believes that the expectations reflected in any of these forward-looking statements are reasonable, these expectations or any of the forward-looking statements could prove to be incorrect, and actual results or outcomes could differ materially from those projected or assumed in the forward-looking statements. Alteryx’s future financial condition and results of operations, as well as any forward-looking statements, are subject to risks and uncertainties, including but not limited to the factors set forth in Alteryx’s press releases, public statements and/or filings with the Securities and Exchange Commission, especially the “Risk Factors” sections of Alteryx’s Quarterly Report on Form 10-Q. These documents and others containing important disclosures are available at www.sec.gov or in the “Investors” section of Alteryx’s website at www.alteryx.com. All forward-looking statements are made as of the date of this presentation and Alteryx assumes no obligation to update any such forward-looking statements. Any unreleased services or features referenced in this or other presentations, press releases or public statements are only intended to outline Alteryx’s general product direction. They are intended for information purposes only, and may not be incorporated into any contract. This is not a commitment to deliver any material, code, or functionality (which may not be released on time or at all) and customers should not rely upon this presentation or any such statements to make purchasing decisions. The development, release, and timing of any features or functionality described for Alteryx’s products remains at the sole discretion of Alteryx.
  5. 5. # A L T E R Y X 1 9 COMPLETE SESSION SURVEYS ATTENTION 5 You were handed a survey as you entered the room. It should take less than 2 minutes to complete Please return your completed surveys B E F O R E YO U L E AV E the room Surveys are anonymous, and we rely on your opinion for improvement
  6. 6. # A L T E R Y X 1 9 6 TODAY’S AGENDA 1. What is duct tape data science? 2. Machine learning use cases 3. Linear regression 4. Random forests 5. Python tool 6. Open courseware
  7. 7. # A L T E R Y X 1 9 7 AND WHAT IS MACHINE LEARNING? WHAT IS DUCT TAPE DATA SCIENCE?
  8. 8. # A L T E R Y X 1 9 DUCT TAPE DATA SCIENCE IS… • Pragmatic • Results Driven • Proven • Explainable 8
  9. 9. # A L T E R Y X 1 9 DUCT TAPE DATA SCIENCE IS NOT… • Ivory Tower • Buzzword Bingo • Resume Driven • Black Box 9
  10. 10. # A L T E R Y X 1 9 MACHINE LEARNING IS MATH, NOT MAGIC • Finds and detects • Patterns • Boundaries • Points • Creates • Predictions • Categories 10
  11. 11. # A L T E R Y X 1 9 11 EVERYDAY EXAMPLES OF ML MACHINE LEARNING USE CASES
  12. 12. # A L T E R Y X 1 9 ML EXAMPLES EVERY DAY BUSINESS EXAMPLES 12 • Forecasting Sales • Predicting Fuel Prices • Which Customers Are About to Cancel? • Trouble Ticket Escalation • Predicting Inventory Levels • Predicting Part Failure
  13. 13. # A L T E R Y X 1 9 REGRESSION CLASSIFICATION WHAT’S THE DIFFERENCE? 13 • Forecasting Sales • Predicting Fuel Prices • Which Customers Are About to Cancel? • Trouble Ticket Escalation • Predicting Inventory Levels • Predicting Part Failure
  14. 14. # A L T E R Y X 1 9 14 LINEAR REGRESSION
  15. 15. # A L T E R Y X 1 9 SOMETIMES LINEAR REGRESSION DOESN’T GET THE JOB DONE 15 • Machine Learning isn’t magic, it’s math • Feature Engineering • Difficult • Academic • Error Prone • Violates the “Duct Tape” Credo
  16. 16. # A L T E R Y X 1 9 FEATURE ENGINEERING FOR NORMAL FOLKS IS A VERY BAD IDEA, BUT LUCKY FOR US, DATA SCIENTISTS HAVE GIVEN US AN EASY SOLUTION 16
  17. 17. # A L T E R Y X 1 9 17 RANDOM FORESTS
  18. 18. # A L T E R Y X 1 9 RANDOM FOREST EXPLAINED 18 NOT JUST REGRESSION, BUT CLASSIFICATION TOO
  19. 19. # A L T E R Y X 1 9 19 GETTING CODE-FRIENDLY PYTHON TOOL
  20. 20. # A L T E R Y X 1 9 20 LEARNING FROM AROUND THE WEB OPEN COURSEWARE
  21. 21. # A L T E R Y X 1 9 OPEN COURSEWARE WHERE TO LEARN MORE 21 • Alteryx Academy • Predictive Analytics for Business Nanodegree Program on Udacity • Andrew Ng Machine Learning course on Coursera • Fast.ai
  22. 22. # A L T E R Y X 1 9 22 Using the basic Alteryx tools and the brown predictive tools, everyday users can build simple machine learning solutions that can provide powerful results. DATA SCIENCE IS YOUR FRIEND FIVE KEY POINTS Duct tape data science is simple, explainable, proven What are the use cases that apply to you? Only a few tools are needed for most use cases Python tool can handle code- friendly needs Open courseware is a great way to learn more about data science 1 2 4 5 3
  23. 23. # A L T E R Y X 1 9 BEFORE YOU LEAVE ATTENTION 23 B E F O R E YO U L E AV E … please take a moment to complete your evaluation survey. Hand it to the room monitors on your way out.
  24. 24. # A L T E R Y X 1 9 THANK YOU jkabler@alteryx.com 24 JP KABLER dwilcox@alteryx.com @davidtwilcox DAVID WILCOX

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