Title | Statistics With R |
Quarter | Spring 2017 |
Instructor | Dr Adam Ginensky (adam.ginensky@acads.org) |
Syllabus | Course Description
This is a 10 week course in Statistics for individuals with some prior programming and mathematics background. This course covers statistical concepts and techniques needed for business applications. In this course statistical concepts and methods of data analysis will be taught in a practical way using R. Students will use analytical skills and statistical tools for building predictive models for decision making.
Course Objectives:
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Instruction Format | Coursework will have following four important components:
The classrooms will be wi-fi enabled and students are required to bring their laptops for the lab sessions
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Assessment | A letter grade A,B,C,D or F for the course will be decided based on
Projects: 40% of the final grade
Mid Term Exam: 10% of the final grade
Final Exam: 15% of the final grade
Homework: 20% of the final grade
Quizzes: 10% of the final grade
Class Participation:10% of the final grade
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TextBook | There will be two texts for the class.
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Pre-Requisite | Ability to do basic algebraic manipulations, some basic calculus and some programming experience. In particular you must be able to download and install R and RStudio on your computer |
Time | Lecture Time: 8:30 pm to 10 pm EST, Wednesday Lab Time: 8:00 pm to 9:00 pm EST Monday Virtual Office Hour time: TBA |
Location | |
TA Information | |
Effort Required | 6-10 hours per week |
Certification | Participants who complete the course will receive an instructor-signed certificate with a letter grade |
Computer Requirements | Prior programming experience in R. |
Get certificate of course completion
Attend highly interactive and hands on TA sessions and get help on projects and in-class programming sessions
Get access to course material, projects, graded homework