2017 Fall CQADS Workshop Series
Introduction to Data Science
30 October to 3 November, 2017. Each day consists of 2 hours of theoretical instruction in the morning, followed by 2 hours of practical work in the afternoon
An introduction to the fundamental data science concepts involved in data analysis, with a detailed discussion of four common analytical
concepts – visualization, classification, clustering and association rules.The application of these concepts will be illustrated through some
simple toy examples, along with a discussion of common challenges and pitfalls.
By the end of the workshop, participants will be able to appreciate the functionality of different types of data science concepts and
recognize opportunities for their application when presented with real-world data.
Individuals who wish to understand the functionality and capabilities offered by different data science concepts and methods, even if they won’t be the ones implementing them.
This workshop requires very little mathematical or computer programming knowledge. Some experience with quantitative ideas is assumed.
Monday: AM - Introduction, Data Science Universals, Data Visualization
Monday: PM - Basics of R, Simple Data Visualization
Tuesday: AM - Fundamental Notions, Association Rules Mining
Tuesday: PM - Data Manipulation in R, Association Rules Mining R packages, Case Study
Wednesday: AM - Classification and Decision Trees, Clustering and k-Means
Wednesday: PM - Decision Trees and k-Means R packages, Case Studies
Thursday: AM - Support Vector Machines, Naïve Bayes Classification
Thursday: PM - SVMs and NBC R packages, Case Studies
Friday: AM - Density-Based Clustering, Spectral Clustering
Friday: PM - DBSCAN and SC R packages, Case Studies
Cost per participant: $1800 + HST
- free parking
- daily coffee, snacks, and lunch
- course materials
- 2-week access to the workshop Python/R Notebooks on the CQADS server
A limited number of fellowships are available to the Carleton community. Inquire at email@example.com for more information.
Online registration for this workshop opens on September 1, 2017 and closes on October 25, 2017 (select the F17: Basics of Data Science option).