Stat 200 — Introduction to Data Science with R — Syllabus

Basic data analysis with R. Summarizing and visualizing data. Sampling and distribution. Analysis tools to include clustering, confidence intervals, regression, and sampling.

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This course will provide a foundation in the area of data science based on programming, computation, and data analysis. The primary goal of this course is for students to learn data analysis concepts and techniques from a rich data set. Students will investigate data concepts, interpretation, regression methods, supervised/unsupervised learning, and basics of data visualization. This course will help students learn how to use data analysis tools and provide an opportunity to utilize R for data manipulation, analysis, and visualization.

• Use R to scrape, clean, process, and visualize data.
• Apply data management techniques to prepare, load, manipulate, and store data.
• Develop R programs to accomplish common programming tasks.
• Understand concepts of sampling, probability, and probability distributions in the context of data analysis.
• Use summary statistics and visualizations to make inferences about data.
• Develop statistical learning models to make inferences or predictions about data.
• Determine accuracy of a statistical learning model.
• Effectively communicate the outcome of data analysis.
• Become intelligent consumers of data related news and reports.

If you are a student with a disability and believe you will need accommodations for this class, it is your responsibility to contact the Student Ability Success Center at (619) 594-6473. To avoid any delay in the receipt of your accommodations, you should contact Student Ability Success Center as soon as possible. Please note that accommodations are not retroactive, and that I cannot provide accommodations based upon disability until I have received an accommodation letter from Student Ability Success Center. Your cooperation is appreciated.

The Family Educational Rights and Privacy Act (FERPA) mandates the protection of student information, including contact information, grades, and graded assignments. I will not post grades or leave graded assignments in public places. Students will be notified at the time of an assignment if copies of student work will be retained beyond the end of the semester or used as examples for future students or the wider public. Students maintain intellectual property rights to work products they create as part of this course unless they are formally notified otherwise.

The SDSU Math & Stat Learning Center is in the Love Library, Room LL-328. "The Math and Stats Learning Center is open to support students in all lower division math courses at SDSU. We have tutors available for walk-in help during all open hours. TAs for Math 141, 150, 151, and 252 also hold their office hours there. Please see the schedule of when the TAs for your class will be in the center by going to our website: mlc.sdsu.edu. The MLC is supported by your student success fee. We strongly encourage you to use this wonderful, free resource. Some students believe that they should not need to ask for help. But, research has shown that the average grade for students who attend the MLC is one half grade higher than those who don’t seek such support."

If you are enrolled in a class which does not have targeted support, the MLC can still serve as a great math study/meeting place; and if you are interested in becoming a tutor in the center, keep an eye on the center's webpage for hiring announcements.

Students are generally encouraged to study together, and to work together to solve exercises. Finals, Midterms, Quizzes, Project, and other designated "individual work" activities must be completed without assistance. All violations will be reported to the Center for Student Rights and Responsibilities and will also result in score/grade reductions at the professor's discretion. Please review SDSU's full policy on academic honesty.

Examples of academic dishonesty include but are not limited to

• copying, in part or in whole, from another's test or other examination
• obtaining copies of a test, an examination, or other course material without the permission of the instructor
• collaborating with another or others in work to be presented without the permission of the instructor
• falsifying records, laboratory work, or other course data
• submitting work previously presented in another course, if contrary to the rules of the course
• altering or interfering with grading procedures
• assisting another student in any of the above
• using sources verbatim or paraphrasing without giving proper attribution (this can include phrases, sentences, paragraphs and/or pages of work)
• copying and pasting work from an online or offline source directly and calling it your own
• using information you find from an online or offline source without giving the author credit
• replacing words or phrases from another source and inserting your own words or phrases

According to the University Policy File, students should notify the instructors of affected courses of planned absences for religious observances by the end of the second week of classes.

Students are instructed to contact their professor/instructor in the event they need to miss class, etc. due to an illness, injury or emergency. All decisions about the impact of an absence, as well as any arrangements for making up work, rest with the instructors. Student Health Services (SHS) does not provide medical excuses for short-term absences due to illness or injury. When a medical-related absence persists beyond five days, SHS will work with students to provide appropriate documentation. When a student is hospitalized or has a serious, ongoing illness or injury, SHS will, at the student's request and with the student’s consent, communicate with the student’s instructors via the Vice President for Student Affairs and may communicate with the student’s Assistant Dean and/or the Student Ability Success Center

All SDSU instructors are mandated reporters, and are thus required to share information regarding sexual violence on SDSU's campus with the Title IX Coordinator, Jessica Rentto 619-594-6017. The Title IX Coordinator has access to accommodations and support services at SDSU, and possibilities for holding accountable the person who harmed you. You are not required to share information you do not wish to disclose and your level of involvement will be at your discretion. If you do not want the Title IX Officer notified, instead of disclosing this information to your instructor, you can speak confidentially with the following people on campus and in the community: Sexual Violence Victim Advocate 619-594-0210 or Counseling and Psychological Services 619-594-5220, [email protected]. They can connect you with support services and discuss options for pursuing a University or criminal investigation. For more information regarding your university rights and options as a survivor of sexual misconduct or sexual violence, please visit titleix.sdsu.edu.

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