Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
2. Data Science is the science which uses
computer science, statistics and machine
learning, visualization and human-computer
interactions to collect, clean, integrate,
analyze, visualize, interact with data to create
data products.
Goal of Data Science: Turn data into data products.
What is Data Science?
4. What complements data science?
Performance
Management
Define, visualize, often
using dashboards, and
manage to KPIs
Meet goals and KPI
targets
SF Scorecard,
PublicWorks Stat & Stat
starter kit
Process Outcome Examples
Approach
Evaluation
Assess a project, program
or policy design or results
Better investment of
resources; Better policy
decisions
Evaluation of transitional-
kindergarten in SF
Policy
Analysis
Define and assess
alternatives using a broad
range of tools
Report or memo with policy
or program
recommendations
Shape Up SF Policy
Analysis
Open Data
Publish civic data for use by
the City and the public
Easier data sharing and
reporting, new tools or
services built on data
SFPUC Adopt a
Drain
DataScience
SF
Identify insights using
advanced statistics tied to a
service change
Smarter work “on the
ground” in real time
See rest of deck!