Introduction to Statistics using R
CSE-41198
Introduction to Statistics using R
Statistics allows us to collect, analyze, and interpret data. The R programming language is one of the most widely-used tools for data analysis and statistical programming. Its easy to learn syntax, built-in statistical functions, and powerful graphing capabilities make it an ideal tool to learn and apply statistical concepts.
In this class, you will master the most widely used statistical methods, while also learning to design efficient and informative studies, to perform statistical analyses using R, and to critique the statistical methods used in published studies. No prior knowledge of statistics or R is required and emphasis is on concepts and applications, with many opportunities for hands-on work.
Topics include:
- R Programming
- Accessing data
- Generating output
- Manipulating objects
- Performing and generating statistical analyses
- Creating statistical graphics
- Statistics
- Descriptive statistics
- Probability
- Hypothesis testing
- Power and sample size
- Correlation
- Regression
- Categorical data analysis
- Design of experiments
- Analysis of variance (ANOVA)
Practical experience:
- Hands-on experiments and statistical analyses using R
Software: R, a free software environment for statistical computing and graphics, is used for this course.
Textbook: None.
Course typically offered: Online, quarterly.
Prerequisites: Knowledge of basic programming or Introduction to Programming is recommended.
Next Steps: Upon completion of this class, consider enrolling in other required coursework in the R for Data Analytics specialized certificate program.
Contact: For more information about this course, please contact unex-techdata@ucsd.edu.
Course Information
Course sessions
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
All course materials are included unless otherwise stated.
Policies:
- No refunds after: 9/30/2024
Schedule:
Instructor: Ashok Pahwa, Ph.D.
Founder, A+ Web Services
Ash Pahwa, Ph.D., is an educator, entrepreneur, and technology visionary with over 25 years of industry experience. He has founded several successful technology companies during his career. His most recent company is A+ Web Services which provides internet marketing and web analytics services. His expertise includes search engine optimization, web analytics, web programming, digital image processing, database management, digital video, and data storage technologies.
He developed cellAnalyst image analysis software for the Microsoft Windows/.NET platform. cellAnalyst is also available as a web service. He developed iVision, an image database management system for storage and retrieval of biomedical images based on metadata, annotation, and content. iVision was developed under a research grant from National Institute of Health. He also taught a Digital Image Processing course at University of California, Irvine in winter of 2007. He earned his Ph.D. in Computer Science from the Illinois Institute of Technology in Chicago. He is listed in Who's Who in the Frontiers of Science and Technology.
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
All course materials are included unless otherwise stated.
Policies:
- No refunds after: 1/20/2025
Schedule:
Instructor: Ashok Pahwa, Ph.D.
Founder, A+ Web Services
Ash Pahwa, Ph.D., is an educator, entrepreneur, and technology visionary with over 25 years of industry experience. He has founded several successful technology companies during his career. His most recent company is A+ Web Services which provides internet marketing and web analytics services. His expertise includes search engine optimization, web analytics, web programming, digital image processing, database management, digital video, and data storage technologies.
He developed cellAnalyst image analysis software for the Microsoft Windows/.NET platform. cellAnalyst is also available as a web service. He developed iVision, an image database management system for storage and retrieval of biomedical images based on metadata, annotation, and content. iVision was developed under a research grant from National Institute of Health. He also taught a Digital Image Processing course at University of California, Irvine in winter of 2007. He earned his Ph.D. in Computer Science from the Illinois Institute of Technology in Chicago. He is listed in Who's Who in the Frontiers of Science and Technology.
