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Infrastructure and tools for data science:

A beginner-friendly introduction

Infrastructure and tools for data science: A beginner-friendly introduction

  • Saturday, 13 July 2019

    1pm – 4pm

  • Ruang & Tempo

    8th Floor, Gedung Tempo
    Jl. Palmerah Barat No.8

  • IDR 100,000

SOLD OUT

Course Summary

2019 is a great year to learn data science. There has been an enormous growth in data science-related jobs to match the equally relentless pace of growth in big data adoption. Dresner Advisory Services’ Market Study 2017 survey shows a year by year increase in big adoption just north of 50 percent and Glassdoor puts Data Scientist at the top of the list of 50 best jobs in America at the end of 2018.

In this session, in-house course producer Samuel will bring to the stage his wealth of experience in building data science teams and cultivating excellence. This includes the tools and infrastructure, applied processes, learning management and accompanying technology for analytical teams. From his time staying in China and Japan as a consultant to his role as developer-trainer in the last 2 years, we will learn about his own journey, and what challenges lie ahead of budding data scientists.

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Syllabus

  • A review on the current landscape of Data Science
    • The whos, whats, and hows
    • The perils of notebook
  • It’s more than R and Python running on a local notebook
    • How to productionize your work
    • “Service-based” data science
    • “Product-based” data science
    • Templates and resources for productionizing data science
  • Serve your machine learning model
    • Cloud infrastructure
    • Tools for machine learning serving
    • Productionize machine learning models
  • Build your first product
    • Ditch that “notebook” mentality
    • Templates and resources for productionizing data science
    • Software engineering or data science?
  • Live Demo
    • From research-based work to production
    • Packaging your code
    • Building apps with machine learning features
    • Building widgets to interact with your machine learning model through an API
    • Q&As

Instructor

Samuel Chan

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.

Partners

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Workshop Receivables:

  • Workshop Lecturer’s Notes

    Including an e-course book (PDF) and/or HTML files.

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements. Snacks are included for evening workshops.

Kickstart Series

Workshops in our Kickstart series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models.

Students are encouraged to bring along their laptop and download the course materials beforehand if they wish to follow along with the Code Along exercises. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.

Past Workshops in this Series:

Get In Touch

PT. Algoritma Data Indonesia.
Menara Kadin, 4th Floor. Kuningan, DKI Jakarta 12950.
WhatsApp: 0816-692-471
Email: community@algorit.ma

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