Data Science Fundamentals
This 3-day workshop is a careful combination of statistical theory, hands-on coding and programming exercises to help students understand — and implement — some of the most widely used, and fundamental, machine learning algorithms.
By building regressors and classifier algorithms from scratch, the student will go beyond applying machine learning models to actually developing their own models — and learn the right approach to fine-tuning the model performance as well as evaluating model fit against unseen data. Upon completion of the workshop, the student will be well versed in an array of important, versatile machine learning algorithms and equipped with the right knowledge to apply them to future datasets in their daily job.
Data are becoming the new raw material of business ~ Craig Mundie, Microsoft
Explore other data science workshops
Syllabus: Data Science Fundamentals (II)
25 September 2017
26 September 2017
27 September 2017
This workshop will cost 3 workshop credits for subscribers. Non-subscribers are welcomed to participate at a cost of IDR 3,000,000.
Workshops in our Data Science Fundamentals 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.