ALGORITMA X DIGITARAYA: KICKSTARTING YOUR DATA SCIENCE CAREER
Hours
We’re happy to announce that Algoritma in partnership with Digitaraya will be visiting Yogyakarta this month!
You might have heard a lot about data science. But, what is actually? How promising is a career as the data scientist in the future? And most importantly, what kind of skillset should you prepare to be a rockstar data science?
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.
Develop highly employable skills as you build data science projects modelled after real-life business cases, one at a time. From predictive algorithms to interactive data visualization, we will introduce you to the necessary data science skills that are sought-after in the market.
Talented data scientists leverage data that everybody sees; visionary data scientists leverage data that nobody sees.
~ Vincent Granville, Executive Data Scientist & Co-Founder at Data Science Central
An introductory workshop for aspiring data scientists and entrepreneurs
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 machine learning models.
Students are encouraged to bring along their laptop and download the course materials beforehand if they wish to follow along the Code Along exercises. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.
Note: Workshops in the KICKSTART series follow a structured course, and re-use many of previous materials from earlier KICKSTART workshops. If you have attended a KICKSTART data science workshop in the past and would like to be exposed to more intermediate-level data science education materials, consider signing up for our Academy.