5 month journey into Data Science and Machine Learning for Berkeley Club of the Philippines
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This is my personal journey along with 40+ executives from more than a dozen countries who attended the first Haas Berkeley Program for Data Science and Analytics
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5 month journey into Data Science and Machine Learning for Berkeley Club of the Philippines
- 1. Jojo Anonuevo 02 Jan 2019, Manila Polo Club 5-month Journey into Data Science and Machine Learning
- 3. Berkeley Program on Data Science and Analytics ● Implement best practices for assembling and leading data science teams Apply relevant industry data science methods ● Drive data-driven business decisions across the organization ● Build a data-driven culture and data-driven policy ● Participants graduate with Certificate of Excellence in Data Analytics ...the program provides a unique combination of theory and practice to help you accelerate your career and the data-driven performance of your organization.
- 4. executive.berkeley.edu/programs/berkeley-program-data-science-analytics The Faculty 2 Professors with 40+ Multi-national Execs
- 5. Mar SG
- 6. Data Science Disciplines vs Deliverables Economics Recommended Reading: 12 Chapters 300+ of 800+ Pgs AI Machine Learning Python R
- 7. Module 1 in Singapore - 6-Day Classroom
- 8. Data Culture and Leadership - Baseball’s Big Data Moment Case Study: Oakland A’s 2002 Moneyball the Movie Trailer: 3 insight about Big Data & Change Management (Youtube)
- 9. Key Take-away #1: As leaders, are we asking the right questions about our business? Instead of buying players, how do we “buy wins” ... A’s GM: Is there a way to find undervalued players who could become baseball stars? Which metrics do we use to select players?
- 10. Data Culture and Leadership Case Study: Boston Red Sox 2018 How Alex Cora changed the culture of the Red Sox regarding analytics (29 Sep 2018)
- 11. Module 1 in Singapore - Statistics for Business
- 12. Executives from Top Brands transform theory to practice Samba Natarajan is CEO of Singtel, Group Digital Life, focused on growth businesses in Digital Marketing, OTT Video, Data Analytics, as well as its Corporate Venture Capital Fund. He joined Singtel in May 2014 and serves on the Board of Directors of Globe Telecom in the Philippines.
- 13. Executives from Top Brands transform theory to practice Zoher Karu - Citi Head of A/P Data and Analytics
- 14. Executives from Top Brands transform theory to practice Sam Kumar - Standard Chartered Global Head of Analytics
- 17. Module 2 - Live and recorded Virtual Sessions
- 19. Module 3 - Classroom at Cal Stadium and Corporate Visits
- 20. Key Take-away: Data Science is a key pillar in product development ....
- 21. Module 4 - Python 101 and Simple Regression Model
- 22. Building a Multiple Regression Model: Case Study: Predict Demand for CapitalBikeshare 𝜇 rider count | temp, humidity, ..., month = 𝛽0 + 𝛽1 ∗ (temp)+ 𝛽2 ∗ (humidity) +...+ 𝛽𝑘∗(month) www.capitalbikeshare.com/system-data Response Explanatory Variables
- 23. Case Study: Predict Demand for CapitalBikeshare 𝜇 rider count | temp, humidity, month = 𝛽0 + 𝛽1 ∗ (temp) + 𝛽2 ∗ (humidity) +...+ 𝛽𝑘∗(month) www.capitalbikeshare.com/system-data
- 24. Module 5 in Berkeley Haas - Classroom and Corporate Tours
- 25. Data Science Disciplines and Data Scientist
- 29. Building a Data Science Team What Is Data Science, and What Does a Data Scientist Do?
- 30. Having fun with classmates
Editor's Notes
- What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? DEVOPEDIA for developers. by developers. Data Science Difference Of Data Science, Machine Learning Knowledge Discovery in Databases Data Science: An Introduction/A Mash-up of Disciplines https://en.wikibooks.org/wiki/Data_Science:_An_Introduction/A_Mash-up_of_Disciplines
- Moneyball - BILLY BEANE and PAUL DePODESTA
- World Series Winners List 1900 to 2018 22Oct2018 Though the Red Sox had once been at the vanguard of data and analytics, they recognized that other organizations (notably the Astros) had surpassed them. The Sox committed considerable resources to closing the gap in recent years, hiring several analysts and building more robust systems to handle the explosion of information. Cora assembled a coaching staff well-versed in analytics. He brought bullpen coach Craig Bjornson from the Astros, hitting coach Tim Hyers from the Dodgers (another team considered among the most sophisticated in the application of analytics), and Ramon Vazquez (formerly a minor league manager in the Astros system, and a coach with the Padres in 2017) as a liaison who could help provide information from the advance scouting and analytics groups to players and coaches.
- What Is Data Science, and What Does a Data Scientist Do? Excerpt below: The Pillars of Data Science Expertise While data scientists often come from many different educational and work experience backgrounds, most should be strong in, or in an ideal case be experts in four fundamental areas. In no particular order of priority or importance, these are: Business domain Statistics and probability Computer science and software programming Written and verbal communication What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? DEVOPEDIA for developers. by developers. Data Science Difference Of Data Science, Machine Learning Data Science: An Introduction/A Mash-up of Disciplines https://en.wikibooks.org/wiki/Data_Science:_An_Introduction/A_Mash-up_of_Disciplines