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Introduction to Probability and Data with R Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
7 days
Duration
7 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

This Introduction to Probability and Data with R course offered by Coursera in partnership with Duke University introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. 

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

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

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

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

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.

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