Data Analytics Certificate

Data Analytics refers to knowledge and skills associated with exploring, analyzing, and visualizing data to aid decision-making.

The Data Analytics certificate is a three-course sequence including an introductory computer and data science course at the 100-level, a statistics course, and a 200-level intermediate data analytics course.

The core topics addressed by the certificate are:

  • algorithmic / computational thinking
  • communication (written and verbal)
  • data curation / management
  • ethics (privacy, informed consent, data security)
  • statistics / statistical inference
  • visualization

Specific skills developed through this certificate include:

  • data preparation skills using coding, including data cleaning, organization, and transformation
  • statistical analysis including descriptive statistics, exploratory analyses, inferential statistics, and modeling up through simple linear regression
  • data aggregation techniques including contingency tables (cross-tabs) and pivot tables
  • analysis and visualization for data-informed decision making
  • use of ‘business intelligence’ software (e.g. Tableau)
  • use of databases for retrieving data (database queries)

Data Analytics Certificate Sequence 

A minimum of three courses to include:

  • CS 125 / DS 125 - Introduction to Computer and Data Sciences
    • This course introduces the fundamentals of programming and data science. This course provides an introduction to all of the following: algorithmic/computational thinking, communicating results of analyses, data curation/management, ethics (privacy, informed consent), reproducibility of analyses, statistics/statistical inference, data visualization, coding.

  •  One statistics course from the list:

    • BIOL 209: Biostatistics and Experimental Design
    • ECON 227: Statistics for Business and Economics
    • MATH 141: Math Modeling: Statistics (Math majors may replace MATH 141 with MATH 325: Mathematical Statistics)
    • PSYC 227: Statistics
  • DS 225 - Data Analytics with Visualization
    • This course that builds on CS/DS 125 and Statistics to develop intermediate and advanced data analytic skills. In particular this course introduces advanced concepts and tools relevant to data cleaning, organization, and transformation. It further develop skills and knowledge about identifying and applying appropriate statistical tools to answer data-driven questions. It provides advanced treatment of the ethical issues involved in data analytic work. It  also teaches students the use of specific software commonly used in data analytics, such as databases for storing and retrieving data and ‘business intelligence’ software such as Tableau for creating reports from analysis results.

The following approved substitutions may count toward the certificate if any of the courses are counted toward a student’s major or minor:

  • CS 314: Database Systems
  • DS 377: Applied Data Analysis
  • ECON 328: Applied Econometrics
  • ECON 338: Time Series Analysis
  • MATH 215: Linear Algebra
  • MATH 403: Computational Data Analysis
  • MATH 407: Numerical Analysis
  • MATH 451: Wavelet Analysis