DATA 101 - Introduction to Data I

5 CR

This introductory course provides a foundation in applied data science, focusing on key statistical concepts and data analysis techniques. Students will explore essential topics such as data collection, data cleaning, data management, data ethics, summarizing and visualizing data, basic ideas of statistical inference, and machine learning. Students will utilize modern software and programming languages, gaining hands-on experience working with both quantitative and qualitative data, developing simple and group models, and applying descriptive and inferential statistical methods.

Prerequisite(s): Completion of MATH 98 with a C or better or permission of the instructor

Course Outcomes

Explain fundamental principles of applied data science and statistical thinking.
Collect, clean, and manage data ethically and responsibly.
Analyze and interpret data using appropriate statistical methods and tools
Apply descriptive statistics to summarize and visualize data.
Perform inferential statistical methods, such as parameter estimation, confidence intervals, and hypothesis testing.
Utilize modern software and programming languages to work with both quantitative and qualitative data, gaining hands-on experience in data analysis

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