Introduction to Data Science (IDS)
Dr. Daniel Gavrilovic
Email: [email protected]Course Objectives: The main goal of IDS is to teach students to think critically about and with data. Upon completion of the course students will understand
- How data are used by professionals to address real world problems
- That data are used in all facets of modern life
- How data support science to identify and tackle real-world problems in our communities
- Analyze statistical graphics to identify patterns in data and to connect these patterns back to the real world
- By treating photos, words, numbers, and sounds as data, we can gain insight into the real world
Student Expectations: Daily effort is considered a major part of your learning experience. Therefore, all assignments are to be completed and submitted on time. You are expected to learn, write, explain, and apply the concepts of this course. Analyze errors and ask for help when needed
COURSE OVERVIEW (subject to change)
Unit 1: Interpreting Categorical and Quantitative Data
Unit 2: Making Inferences and Justifying Conclusions
Unit 3: Conditional Probability and the Rules of Probability
Unit 4: Using Probability to Make Decisions
Practice your Typing Skills: https://www.typingclub.com/