This 2-day workshop is a beginner-friendly introduction to survival analysis practice using R.
Survival analysis addresses questions such as:
This workshop will equip you with hands-on experience in solving real-case data analysis using R. By learning how to perform a survival analysis on various business problems, students will learn the fundamentals importance of statistics practice in making a decision in the industry.
We will guide students in the right approach of completing a survival analysis exercise modeled after real-life business cases. The workshop is designed by Algoritma’s acclaimed team of instructors and we will help you kickstart your career in the data science industry.
NOTE: The workshop will be delivered in Bahasa Indonesia
26 March 2019
Introduction
R Programming
Statistics Behind Survival Analysis (1)
27 March 2019
Statistics Behind Survival Analysis (2)
Implementation of Survival Analysis
Wulan Andriyani is one of Algoritma’s Data Science Instructors. Wulan graduated from Bogor Agricultural University with a major in Statistics and minor in Economics and Development Studies. During her university years, she often became the teaching assistant for the Economics and Statistics Department.
With a strong background in Statistics, she has taught classes for Algoritma’s in-house corporate training and has shared her expertise and knowledge about data science, data analysis, and statistics. She was involved in various training such as for BCA, Indosat Ooredoo, Algoritma Data Science Academy, and Algoritma Weekend Track, to name a few.
Workshops in our Data Science Series are tailored to casual learners, working professionals and non-programmers that are taking their first steps into data science and machine learning.
Students are not assumed to have a working knowledge of R or prior proficiency in statistics / mathematics / algebra. At such the workshop follows a gentle learning curve and emphasize on hands-on, one-to-one tutoring from our team of instructors and teaching assistants.
Consider taking our Data Science Intermediate workshops instead for more advanced-level materials in statistical programming and machine learning.
Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.
