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How to find low-cost or free data science resources 202006

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Mark Tabladillo
Mark Tabladillo

This document provides guidance on finding low-cost or free data science resources. It categorizes resources for beginners, intermediates, and advanced learners. Beginner resources like KD Nuggets and YouTube aim for likes and clicks. Intermediate resources like Meetup and MOOCs want identity and participation. Advanced resources want trading relationships where value is exchanged. The document recommends specific free resources from Microsoft like Azure documentation and AI Business School. It emphasizes understanding the motivations behind "free" to build respectful relationships within the free economy.

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How to Find Low-Cost or Free Data Science Resources Mark Tabladillo Ph.D. June 30, 2020
Problems with Fake Free • False or misleading content • Second-quality content • Outdated content • Asking money for something free • Risks
Main Economic Idea on “Free” • “Follow the Money” • Think through what people want when they offer something for free or at a reduced cost • Understanding especially stated motivation is the pathway to respect
Main Quality Ideas on “Free” STAY CLOSE TO THE SOURCE FIND SOURCES WITH STANDARDS PRODUCERS AND THEIR FRIENDS ARE THE HIGHEST ASSURANCE DEVELOP YOUR OWN MAP
Main Content Ideas on “Free” Data Business Understanding Data Engineering Deployment Modeling Microsoft Team Data Science Process https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/
Taxonomy of Resources • Beginner: anonymous • Giver wants likes and clicks • Intermediate: give information • Giver wants identity, perhaps low- fee • Advanced: trade information • Giver wants participation
Beginner • KD Nuggets • https://www.kdnuggets.com/2020/04/machine- learning-data-science-books-courses- quarantine.html • Toward Data Science • https://towardsdatascience.com/ • Github • https://towardsdatascience.com/top-10- popular-github-repositories-to-learn-about- data-science-4acc7b99c44 • Stack Overflow https://stackoverflow.com/ • YouTube • Deep Learning Book https://www.deeplearningbook.org/
Beginner @ Microsoft • Channel 9 • https://channel9.msdn.com/Series /Intro-to-Python-Development • Documentation • https://docs.microsoft.com/en- us/azure/machine-learning/team- data-science-process/
Intermediate • PASS • Virtual Chapters • SQL Saturday • PASS Summit (comparatively low-cost) • Meetup http://www.meetup.com/ • University (free) • MIT / Columbia / Stanford / Harvard / Berkeley • https://towardsdatascience.com/learn-data-science- from-top-universities-for-free-ee3387ad88ac • MOOC (Udacity, edX, Coursera) • LinkedIn: producers • Microsoft (1,200); Google (65); Amazon/AWS (165); Databricks (55); Alibaba (1)
Intermediate @ Microsoft • AI Business School • https://www.microsoft.com/en- us/ai/ai-business-school • Learn • https://docs.microsoft.com/en- us/learn/
Advanced • Producing • KD Nuggets • Towards Data Science • PASS • Github • Stack Overflow • Meetup • Edge: clarifies what you have to trade
Advanced @ Microsoft • MVP (Most Valuable Professional) • https://mvp.microsoft.com/
Main Economic Idea on “Free” • Think through what people want when they offer something for free or at a reduced cost • Likes or clicks -- Beginner • Identity -- Intermediate • Trading Relationship -- Advanced • Understanding especially stated motivation is the pathway to respect • Write a thank you • Refer • Promote • Become part of the free economy
Abstract • There are many free or low-cost resources to become better trained in data science. None of these options equals a formal degree: but short of that scope, these other resources are helpful at least for keeping up with technology. This presentation will provide specific recommendations on free or low-cost resources based on the Team Data Science Process framework (business understanding, data engineering, modeling, deployment).

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How to find low-cost or free data science resources 202006

  • 1. How to Find Low-Cost or Free Data Science Resources Mark Tabladillo Ph.D. June 30, 2020
  • 2. Problems with Fake Free • False or misleading content • Second-quality content • Outdated content • Asking money for something free • Risks
  • 3. Main Economic Idea on “Free” • “Follow the Money” • Think through what people want when they offer something for free or at a reduced cost • Understanding especially stated motivation is the pathway to respect
  • 4. Main Quality Ideas on “Free” STAY CLOSE TO THE SOURCE FIND SOURCES WITH STANDARDS PRODUCERS AND THEIR FRIENDS ARE THE HIGHEST ASSURANCE DEVELOP YOUR OWN MAP
  • 5. Main Content Ideas on “Free” Data Business Understanding Data Engineering Deployment Modeling Microsoft Team Data Science Process https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/
  • 6. Taxonomy of Resources • Beginner: anonymous • Giver wants likes and clicks • Intermediate: give information • Giver wants identity, perhaps low- fee • Advanced: trade information • Giver wants participation
  • 7. Beginner • KD Nuggets • https://www.kdnuggets.com/2020/04/machine- learning-data-science-books-courses- quarantine.html • Toward Data Science • https://towardsdatascience.com/ • Github • https://towardsdatascience.com/top-10- popular-github-repositories-to-learn-about- data-science-4acc7b99c44 • Stack Overflow https://stackoverflow.com/ • YouTube • Deep Learning Book https://www.deeplearningbook.org/
  • 8. Beginner @ Microsoft • Channel 9 • https://channel9.msdn.com/Series /Intro-to-Python-Development • Documentation • https://docs.microsoft.com/en- us/azure/machine-learning/team- data-science-process/
  • 9. Intermediate • PASS • Virtual Chapters • SQL Saturday • PASS Summit (comparatively low-cost) • Meetup http://www.meetup.com/ • University (free) • MIT / Columbia / Stanford / Harvard / Berkeley • https://towardsdatascience.com/learn-data-science- from-top-universities-for-free-ee3387ad88ac • MOOC (Udacity, edX, Coursera) • LinkedIn: producers • Microsoft (1,200); Google (65); Amazon/AWS (165); Databricks (55); Alibaba (1)
  • 10. Intermediate @ Microsoft • AI Business School • https://www.microsoft.com/en- us/ai/ai-business-school • Learn • https://docs.microsoft.com/en- us/learn/
  • 11. Advanced • Producing • KD Nuggets • Towards Data Science • PASS • Github • Stack Overflow • Meetup • Edge: clarifies what you have to trade
  • 12. Advanced @ Microsoft • MVP (Most Valuable Professional) • https://mvp.microsoft.com/
  • 13. Main Economic Idea on “Free” • Think through what people want when they offer something for free or at a reduced cost • Likes or clicks -- Beginner • Identity -- Intermediate • Trading Relationship -- Advanced • Understanding especially stated motivation is the pathway to respect • Write a thank you • Refer • Promote • Become part of the free economy
  • 14. Abstract • There are many free or low-cost resources to become better trained in data science. None of these options equals a formal degree: but short of that scope, these other resources are helpful at least for keeping up with technology. This presentation will provide specific recommendations on free or low-cost resources based on the Team Data Science Process framework (business understanding, data engineering, modeling, deployment).