Data Science with R: Data Analysis and Visualization
- Beginner
- 15 and older
- $2,080.50
- NYC Data science Academy
- 35 hours over 5 sessions
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This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
Any student wishing to withdraw from a program must notify CourseHorse in writing. The date of withdrawal for refund purposes is the last date of physical attendance. The failure of a student to notify us in writing of withdrawal may delay refund of tuition due pursuant to Section 5001 and 5002 of the Education Law.
Any student requesting cancellation within seven days after signing the Enrollment Agreement but before instruction begins will be refunded all money paid less 5% cancellation fee. Thereafter, in the event of cancellation or termination by the school, refunds will be prorated based on the student's last date of attendance.
Students highly praise the Data Science with R: Data Analysis and Visualization course for its comprehensive syllabus, dedicated instructor, and practical application of skills. The class is described as having a steep learning curve, but the slides and homework assignments effectively teach the material. The instructor, Derek, is described as an R expert who can answer any question and brings a graduate-level feel to the course. The course covers the basics of R syntax, data manipulation, and the use of packages like DPLYR. The only area for improvement mentioned is a desire for more depth in web scraping, although the course is primarily focused on data analysis and visualization. Direct Quotes: - "Our instructor, Derek, was an R guru and could answer any question we threw at him. I definitely plan to continue learning R and I can attribute my enthusiasm to having taken this class." - "Ultimately Derek brought us to a self-sufficiency level for continuing our R education. The course was a pleasure as Derek is clearly an R expert and aficionado weaving many practical tips and historical insights into the lectures." - "About the syllabus, you will learn Base R syntax and principal data structures identification and manipulation plus a bunch of other packages (e.g. DPLYR) that will make your life easier when treating data sets. The instructor was a Sr. Data Scientist who gave us two sides: theoretical and hands-on day-to-day professional experience views."
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