Generalist Digital Technology Credential
Earners of this badge have demonstrated fundamental knowledge, skills, and abilities in data analysis, data visualization, and data security. Earners have completed curriculum that aligns with the employer-validated, digital tech competencies required for jobs with Capital CoLAB employers.Additional Details
- Data Communication
- Data Ethics
- Data Manipulation
- Data Security
- Data Visualization
- Descriptive And Inferential Statistics
- Role Of Data And Analytics
STAT 250 Introduction to Statistics: Elementary introduction to statistics. Topics include descriptive statistics, probability, and estimation and hypothesis testing for means and proportions. Statistical software used for assignments.
STAT 350 Introduction to Statistics II: Further examination of statistics and data analysis with an emphasis on applications. Inference for comparing multiple samples, experimental design, analysis of variance and post-hoc tests. Simple linear, multiple and logistic regression. Analysis of contingency tables and categorical data. A statistical computer package is used for data analysis.
CDS 301 Scientific Information and Data Visualization: The techniques and software used to visualize scientific simulations, complex information, and data visualization for knowledge discovery. Includes examples and exercises to help students develop their understanding of the role visualization plays in computational science and provides a foundation for applications in their careers.
STAT 463 Introduction to Exploratory Data Analysis: Features statistical graphics, maps and simple models used to bring out patterns in data. Introduces statistical software and addresses data access and import. Presents exploratory strategies motivating data transformations. Stresses the cognitive foundations of good graphics. Graphics include dot plots, box plots, Q-Q plots, parallel coordinate plots, scatterplot matrices and linked views. Exploration includes use of dynamic graphics.
CYSE 101 Introduction to Cyber Security Engineering: Provides comprehensive introduction to the principles, applications, and practice of cyber security engineering. Students learn the basic concepts and terminology of cyber security and how cyber security is commonly addressed after the design and implementation phases. Students are introduced to the systems engineering and design processes and learn to integrate and apply cyber security tools and techniques in these processes
Quantitative Elective from Data Analysis Minor