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How To Start Your First Data Science Project

This workshop is suitable for the general public – no programming experience is required.

  • Schedule

    TBC

  • Venue

    Online via Zoom

  • Investment

    Rp. 100.000

GET TICKETS


LEARNING OUTCOMES

Develop highly employable skills as you build data science projects modeled after real-life business cases, one at a time. From predictive algorithms to interactive data visualization, we help our students develop the necessary data science skills that are sought-after in the market.

Uncover all the secret recipes to start your journey in data science in this interactive, beginner-friendly session. Our speaker will share their experience in the data science industry and will guide you step-by-step to acquire the skills you need to be a data scientist.

Upon completion of this workshop, you will have knowledge about:

  • Using R programming language and RStudio to work with data.
  • Favor a problem-solving style that is efficient and yields a short feedback cycle.
  • Isolate contexts by diagnosing your data before exploring it.
  • Incorporate prior knowledge and domain knowledge in your data preparation tasks.
  • Produce data visualizations and reports.

Syllabus

  • RStudio Introduction and Functionalities
  • Introduction to RMarkdown
  • Getting familiar with working directory
  • Reading file
  • Exploratory Data Analysis (EDA)
  • Data manipulation using dplyr
  • Introduction to ggplot
  • Knit report from RMarkdown

FAQ

Yes, you can still attend as it is a beginner-friendly class.

No, this workshop will be conducted on Zoom. You can get the link after you finish your registration process.

Learning materials can be obtain via Google Classroom

No, you will not receive a certificate of completion.

FOR ABSOLUTE BEGINNERS

Our Trial Classes 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 for data analysis. This class has a gentle learning slope that is designed with non-technical professionals and academics in mind.