KICKSTART:
Impact-driven
data science

Learn about data science tools and best practices to get your work from notebooks to product impact and applications. Absolute beginner-friendly.

  • Saturday, 24 November 2018

    12.30pm – 4pm

  • BLOCK71 Jakarta

    Ariobimo Sentral, 8th Floor
    Jl. HR Rasuna Said

  • IDR 100,000

Schedule

  • Know-your-neighbors

    Registration and Networking
    12:30 – 13:00

  • Background

    An Overview of the Methodologies & Tools for research-based Data Science (RStudio, Jupyter, Markdown, LaTeX)

    13:00 – 13:30

  • Beyond Research & Academia

    Transitioning from a notebook-centric data science workflow: developing product features, software engineering and productionizing machine learning

    13:30 – 15:30

  • Q&A Session

    15:30 – 16:00

Course Summary

If you’re learning data science, you have at some point come across RStudio, iPython, Jupyter or some other form of “interactive” learning portal. You’ve learned how to produce data science work in a notebook format – and you wonder if real-world data science has more to it than interactive notebooks.

In this workshop, corporate trainer and consultant Samuel Chan will walk us through his daily routine and process: on how he brings his work out of a “development” mode into “production” mode, how we deliver corporate projects, what he thinks about solution-centric and impact-based data science.

We’ll explore the best practices of building machine learning features, the blurry lines between machine learning code and software engineering, and how to stay sharp on devising impact-driven solutions with AI.

The workshop and all workshop materials are developed / conducted in English. It is suitable for the general public – no programming experience is required.

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