Created by:  Duke University

Basic Info
Course 1 of 5 in the Statistics with R Specialization.
LevelBeginner
Commitment5 weeks of study, 5-7 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
Syllabus

FAQs
How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
Duke University
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
Pricing
AuditPurchase Course
Access to course materials

Available

Available

Access to graded materials

Not available

Available

Receive a final grade

Not available

Available

Earn a shareable Course Certificate

Not available

Available

Ratings and Reviews
Rated 4.7 out of 5 of 1,048 ratings

Really good foundation course for those who aren't familiar to statistics and gives out great resources to learn or refresh some material. For the assignments, I like how they give an option of either doing it from the DataCamp website or RStudio. I wish there was somewhat a better way of understanding the R libraries in the assignment, but I just don't know what. Overall, I love it.

very informative, learnt a whole lot.

I really enjoyed this course - the instruction and materials were high quality and very helpful in clarifying statistical concepts that had seemed unnecessarily confusing to me prior to taking this course. The assignments were very helpful in teaching R, with the final assignment requiring slightly more familiarity in R than the first 4 weeks prepare students for. My advice for students who take this course is that if you have the time in the first 4 weeks, try to learn a bit more than is minimally required in R to be best prepared for the final project. Overall a great course!

Awesome professor, awesome explanations and awesome project in the last week!! Taught me so many things that I couldn't have learned by myself. :)