Overview
You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization.
You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project.
Key facts
- The concepts and techniques in this Introduction to Probability and Data with R course offered by Coursera in partnership with Duke University will serve as building blocks for the inference and modeling courses in the Specialization.
Programme Structure
Courses include:
- Probability and Data
- Data
- Data Project
- Exploratory Data Analysis and Inference
- Exploratory Data Analysis and Inference Project
- Probability
- Probability Project
- Probability Distributions
- Data Analysis Project
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Information Technology (IT) Data Science & Big Data View 185 other Short Courses in Information Technology (IT) in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner Level
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
Audit: free access to course materials except graded items|Certificate: a trusted way to showcase your skills|A year of unlimited access with Coursera Plus $199
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.