Data Science & Analytics

The specific skill set of each graduate is dependent on their choice of electives. This abbreviated
list is intended to show a general view the skills a student who graduates from the DSA program
should be proficient in.

HARD SKILLS:

Selecting proper technology, tools and methods to analyze data
Data Acquisition

• Sourcing spatial and aspatial (tabular) data

• Using Open Data sources

• Web scraping

• Ethical and legal regulations of data

Data Management

• Organizing and maintaining data

• Data storage

  • Relational databases

  • Database design

• Cleaning data

• Data integration

  • Working with many types of data from different fields (bioinformatics, healthcare, urban planning, journalism, etc.)

• Data manipulation

Data visualization and reporting

• Maps

• Charts and graphs

• Dashboard

Software and programming

• Python

• SQL

• Excel

• SAS

• SPSS

• Tableau

Mathematical Skills and Concepts

• Basic mathematical concepts in Data Science

• Statistics

• Basic Machine learning models

• Basics of Spatial Analysis (e.g. clusters, hot/cold spots, pattern analysis)

SOFT SKILLS:

• Information and data literacy

• Using industry-specific terminology appropriately

• Working with diversity, cross-cultural and/or multi-national systems and projects

• Time management

• Exercising leadership

• Networking and building professional relationships

• Behaving ethically

• Communication to lay audience

• Oral communication

• Writing reports

• Adapting effectively to changing conditions

• Participating as a member of a team

• Developing professional workplace attitudes and behavior

• Developing individual responsibility

• Project management

• Written communication