Badge of Practice
Course Description
This course presents a basic introduction to data science and analytics. Discover what data science is, what data scientists do, and why data science is important in the modern world. Learn about techniques used by data scientists to collect, summarize, visualize and draw conclusions from data. Topics for exploration include data types, data sources, data cleaning, Exploratory Data Analysis (EDA), data visualization, machine learning concepts, Big Data concepts, and ethical/legal issues surrounding the use of data. Programming experience or mathematical expertise is not required for this course.Learning Outcomes
- Formulate clear, concise, measurable data analysis problem statements.
- Identify and acknowledge data sources.
- Apply basic data cleaning methods.
- Identify categorical vs. numerical data types.
- Apply descriptive methods to summarize data and identify relationships.
- Use tools to collect, process, summarize, and visualize data.
- Differentiate ethical vs. unethical uses of data science.
- Identify legal issues in data use.
Instructor
- Adjunct InstructorRachel Ashman, M.S.I.T.
- University of North Georgia
Teaching:Summer
May
1
Summer
2026
Start Date
August
31
Summer
2026
End DateUpcoming refers to the next academic term after the current one.
September
3
Fall
2025
Start Date
January
5
Fall
2026
End DateDuration
16 weeks
Instruction Method