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20181108 abecon klantendag - vernieuwing - breinwave - peter de haas - incl video - kopie
The document outlines the Abecon Customer Day held on November 8, 2018, led by Peter de Haas from Breinwave, focusing on the integration of innovative technology in business strategies. It details a Data Science and AI training program offered by Futureskills Lab, including a 3-month full-time and a 6-month part-time course. The training covers various aspects of data science, analytics, and machine learning, emphasizing hands-on experience and practical application.
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20181108 abecon klantendag - vernieuwing - breinwave - peter de haas - incl video - kopie
- 1. Vernieuwing Abecon Klantendag |8 november 2018 Peter de Haas | Breinwave peter.dehaas@breinwave.nl
- 2. MAAK(T) AMBITIES WAAR breinwave Breinwavehelpt u bij het slim inzetten van innovatieve technologie in de context van uw organisatie en uw ambities.
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- 6. Productieve en betrokken medewerkers Online interactie met klantenen partners Data gedreven intelligentie ICT gedreven innovatie ICT Visie en strategie op maat
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- 8. canvas Productieve enbetrokken medewerkers
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- 10. Vertaalslag Scenario's naareen digitaal platformcanvas
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- 15. smart Data gedrevenintelligentie
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- 19. smart In 1960beschikte 10% van de Nederlandse huishoudens over een koelkast. De prijzen lagen op dat moment rond de 500 tot 700 gulden, afhankelijk van de literinhoud. Het Zaanse levensmiddelenbedrijf bestelde in 1962 20.000 koelkasten tegen kwantumkorting bij de Duitse fabrikant Liebherr. Albert Heijn verkocht deze apparaten tegen de helft van de winkelprijs. binnen een maand was de hele partij verkocht.
- 20. smart 3 of6 maanden Datascience & AI opleiding Start elke 3 maanden vanaf 1/10/2018 http://www.futureskillslab.nl/
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- 22. sense Online interactie metklanten en partners
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- 26. labs ICT gedreveninnovatie
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- 32. compas Microsoft Dataplatform Update BusinessModel Canvas Workshop Technology Deepdive Emerging Technology Mapping Ideation Workshop Kickstart Assessment Customer Journey Assessment Online Werkplek | Productiviteit Data Discovery Workshop Assessment Office365 canvaslabs sensesmart ICT Visie en strategie op maat
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- 36. Data Science Program 3of 6 maanden Data Science http://www.futureskillslab.nl/
- 37. Monday Tuesday WednesdayThursday Friday Legenda Date Focus area Class / 09:00 - 17:00 Online / 09:00 - 17:00 Online / 09:00 - 17:00 Class / 09:00 - 17:00 Class / 09:00 - 17:00 Coach Before the course starts Pre: Get started with Data Science Introduction to Data Science Introduction to Data Science Introduction to Data Science Introduction to Data Science Introduction to Data Science In house Week 1: Analyze and Visualize Data Soft skills (Barbara) Soft skills (Hasan) Analyze and Visualize Data with Excel / Analyze and Visualize Data with PowerBI Analyze and Visualize Data with Excel / Analyze and Visualize Data with PowerBI Garage day Work at home Week 2: Communicate Data Insights Analyze and Visualize Data with Excel / Analyze and Visualize Data with PowerBI Analytics Storytelling for Impact Analytics Storytelling for Impact Analytics Storytelling for Impact Garage day Week 3: Ethics and Law in Data and Analytics Soft skills (Barbara) Ethics and Law in Data and Analytics Ethics and Law in Data and Analytics Ethics and Law in Data and Analytics Garage day Week 4: Query Relational Data Querying Data with Transact-SQL Querying Data with Transact-SQL Querying Data with Transact-SQL Querying Data with Transact-SQL Garage day Week 5: Explore Data with Code Introduction to R for Data Science / Introduction to Python for Data Science Introduction to R for Data Science / Introduction to Python for Data Science Introduction to R for Data Science / Introduction to Python for Data Science Introduction to R for Data Science / Introduction to Python for Data Science Garage day Week 6: Essential Maths Soft skills (Barbara) Essential Math for Machine Learning: R / Python Edition Essential Math for Machine Learning: R / Python Edition Essential Math for Machine Learning: R / Python Edition Garage day Week 7: cont’d Essential Math for Machine Learning: R / Python Edition Essential Math for Machine Learning: R / Python Edition Essential Math for Machine Learning: R / Python Edition Essential Math for Machine Learning: R / Python Edition Garage day Week 8: Plan and Conduct Data Studies Soft skills (Barbara) Data Science Research Methods: R / Python Edition Data Science Research Methods: R / Python Edition Data Science Research Methods: R / Python Edition Garage day Week 9: Build Machine Learning Models Data Science Research Methods: R / Python Edition Principles of Machine Learning: R / Python Edition Principles of Machine Learning: R / Python Edition Principles of Machine Learning: R / Python Edition Garage day (enroll for capstone) Week 10: cont’d Principles of Machine Learning: R / Python Edition Principles of Machine Learning: R / Python Edition Principles of Machine Learning: R / Python Edition Principles of Machine Learning: R / Python Edition Garage day (work on capstone) Week 11: Build Predictive Solutions at Scale Soft skills (Barbara) Predictive Analytics with Spark in Azure / Analyze Big Data with Microsoft R / Developing Big Data Solutions with Azure Machine Learning Predictive Analytics with Spark in Azure / Analyze Big Data with Microsoft R / Developing Big Data Solutions with Azure Machine Learning Predictive Analytics with Spark in Azure / Analyze Big Data with Microsoft R / Developing Big Data Solutions with Azure Machine Learning Garage day (work on capstone) Week 12: Build Predictive Solutions at Scale Capstone Capstone Capstone Capstone Garage day Requirements: - Windows OS - Windows Live ID - O365 account - Azure tenant (trial) Full-time program – 3 months
- 38. Monday Tuesday WednesdayThursday Friday Date Focus area Online / 09:00 - 17:00 Online / 09:00 - 17:00 Online / 09:00 - 17:00 Class / 09:00 - 17:00 Class / 09:00 - 17:00 Week 1-2: Get started with Data Science Introduction to Data Science Introduction to Data Science Week 3-4: Analyze and Visualize Data Analyze and Visualize Data with Excel / Analyze and Visualize Data with PowerBI Analyze and Visualize Data with Excel / Analyze and Visualize Data with PowerBI Week 5-6: Communicate Data Insights Analytics Storytelling for Impact Analytics Storytelling for Impact Week 7-8: Ethics and Law in Data and Analytics Ethics and Law in Data and Analytics Ethics and Law in Data and Analytics Week 9-10: Query Relational Data Querying Data with Transact-SQL Querying Data with Transact-SQL Week 11-12: Explore Data with Code Introduction to R for Data Science / Introduction to Python for Data Science Introduction to R for Data Science / Introduction to Python for Data Science Week 13-16: Essential Maths Essential Math for Machine Learning: R / Python Edition Essential Math for Machine Learning: R / Python Edition Week 17-18: Plan and Conduct Data Studies Data Science Research Methods: R / Python Edition Data Science Research Methods: R / Python Edition Week 19-22: Build Machine Learning Models Principles of Machine Learning: R / Python Edition Principles of Machine Learning: R / Python Edition Week 23-24: Build Predictive Solutions at Scale Predictive Analytics with Spark in Azure / Analyze Big Data with Microsoft R / Developing Big Data Solutions with Azure Machine Learning Predictive Analytics with Spark in Azure / Analyze Big Data with Microsoft R / Developing Big Data Solutions with Azure Machine Learning Week 25-26: Capstone (depending on starting moment -> 4 times a year) Capstone Capstone Requirements: - Windows OS - Windows Live ID - O365 account - Azure tenant (trial) Part-time program – 6 months Optional: soft skills workshops