CIS 344H
R Programming
Course Description
This course is an introduction to the R programming language and its utility in big data analytics. Topics covered include data objects, data cleansing, merging and sorting, statistical analysis of data, data graphics, and visualization, and working with R-Studio.
Class Details
| CRN | Course | Section | Days | Times | Instructor | Loc |
|---|---|---|---|---|---|---|
| 39062 | CIS 344H | 63Z | ······· | TBA-TBA | Mohammed Akhoirshida | ONLINE |
| ······· | TBA-TBA |
Class Dates: This class runs from 2026-01-05 to 2026-03-27.
Footnote:
CIS-344H.-63Z: Fully ONLINE. This is an online lecture, laboratory class. The lecture and laboratory do not have scheduled meetings and can be completed independently each week on the student's own time. This class mirrors the for-credit class of the same number (CIS 344H mirrors CIS 44H), so the course description is the same. Non-credit courses are intended for students who want to gain general knowledge, learn a new skill, upgrade existing skills, or enrich their understanding of a wide range of topics. Non-credit courses cannot be used to earn an associate degree nor any college transcriptable certificates. They can, however, be used to earn non-transcriptable certificates of completion. Students must have access to a computer, the internet and an individual email address. Most De Anza classes will use the Canvas course management system. We recommend a laptop or desktop computer to successfully complete the course; a tablet or phone may not be adequate for all assignments and tests. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: https://deanza.instructure.com/courses/3382. The Student Online Resources hub with extensive information and tips can be found at deanza.edu/online-ed/students/remote learning.
Class Materials
| Textbook/Material | Type | Required | Purchase | Rent | ||
|---|---|---|---|---|---|---|
| New | Used | New | Used | |||
| De Anza College - CIS 44H/344H: R Programming - Winter 2026 (1st Edition) Zybooks ISBN: 9798203131645 | E-Book (120 days) | Required | $66.75 | |||
Lower prices may be available for textbooks or materials in certain courses, when purchased through the course site on Canvas. Your instructor will tell you if a lower price is available.
View textbook and/or other materials available at the Bookstore.
Course Details
- Units
- 0 Units
- Hours
- Weekly Lecture Hours: 4
- Weekly Lab Hours: 1.5
- Program Status
- Not Program Applicable
- Credit
- Non-credit Class
- Grading Method
- Letter Grading
Requisite and Advisory
- Advisory
- ESL D272. and ESL D273., or ESL D472. and ESL D473., or eligibility for ENGL C1000 or ENGL C1000H or ESL D005.
- CIS D022A or CIS D036A or CIS D040.