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A 3-day workshop that introduces the science of statistical programming, data visualization and machine learning in the most beginner-friendly way possible. We take a learn-by building approach to help each participant master the intricate art of R programming, creating visuals, and mathematical models that are at the heart of modern day AI applications.

• Introduction to Data Visualization and Machine Learning

• 3-Day Workshop

• 9 hours

Who should attend this course?

- Marketing executive

- Business analyst

- Entrepreneur

- Financial market professional

- Anyone who interested in Data Science


22 - 24 January 2019 18.30 - 21.30

- Difficulty: Beginner

- The course will be held in english

- No prior programming experience is required to succeed in this workshop

- Certification: upon passing criteria

- Participants are required to bring their own laptops

Course syllabus: https://algorit.ma/data-science-series/hubba-x-algoritma/

About speaker:

Samuel Chan - Course Producer

Machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide), a certified professional (certificates from Microsoft, MongoDB, Stanford University, John Hopkins University), and an experienced consultant that has worked with several public-trading companies from his time staying in China, Japan and Singapore.

Between 2017 and 2018, Samuel has trained and consulted with more than 20 companies around Indonesia and a regular guest speaker/trainer in a number of universities in Singapore and Indonesia. He is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies.

#data visualization #machine learning #data #marketing #data science

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22 Jan 2019 18:30 - 24 Jan 2019 21:30
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HUBBA Thailand ซอย เอกมัย 4 Phra Khanong Nuea, Watthana, Bangkok, Thailand
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